ArticlePDF Available

Finger and Palm Dynamic Pressure Monitoring for Basketball Shooting

Authors:

Abstract and Figures

This study verified general inferences on the finger and palm pressure distribution of a basketball player in the moment before that player shoots a basketball through a scientific qualitative testing method. We mounted the sensor on the hands of college basketball players and monitored the dynamic pressure of each player’s hand while the player threw a basketball. The dynamic pressure distribution of the fingers and palm of a basketball player throwing a ball can be verified. According to the experimental results, college basketball players typically use the index finger to control the direction and power of force in the moment before shooting a basketball. This study successfully used a scientific qualitative test method to monitor the dynamic pressure of the fingers and palms of basketball players and verified the general inference that a typical basketball player mainly uses the index finger to control the direction and power of force in the moment before throwing a ball. In the future, this study, measuring the dynamic pressure distribution of the fingers and palm, can be applied to simulate hand manipulation in many biomedical and robotic applications.
This content is subject to copyright. Terms and conditions apply.
Research Article
Finger and Palm Dynamic Pressure Monitoring for
Basketball Shooting
Chiao-Fang Hung,1Chung-Chiang Chen,2Shin-Hung Lin,1and Tien-Kan Chung1,3
1Department of Mechanical Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
2Oce of Physical Education, National Chiao Tung University, Hsinchu 30010, Taiwan
3International College of Semiconductor Technology, National Chiao Tung University, Hsinchu 30010, Taiwan
Correspondence should be addressed to Tien-Kan Chung; tkchung@nctu.edu.tw
Received 3 February 2017; Accepted 4 May 2017; Published 23 May 2017
Academic Editor: Andrea Cusano
Copyright ©  Chiao-Fang Hung et al. is is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
is study veried general inferences on the nger and palm pressure distribution of a basketball player in the moment before
that player shoots a basketball through a scientic qualitative testing method. We mounted the sensor on the hands of college
basketball players and monitored the dynamic pressure of each player’s hand while the player threw a basketball. e dynamic
pressure distribution of the ngers and palm of a basketball player throwing a ball can be veried. According to the experimental
results, college basketball players typically use the index nger to control the direction and power of force in the moment before
shooting a basketball. is study successfully used a scientic qualitative test method to monitor the dynamic pressure of the
ngers and palms of basketball players and veried the general inference that a typical basketball player mainly uses the index
nger to control the direction and power of force in the moment before throwing a ball. In the future, this study, measuring the
dynamic pressure distribution of the ngers and palm, can be applied to simulate hand manipulation in many biomedical and
robotic applications.
1. Introduction
A variety of pressure sensors are currently used in the
industry, mainly piezoresistive, capacitive, and piezoelectric
sensors. Among these, piezoresistive pressure sensors [–]
have scope for use in practical applications for sensing the
human body [–], such as all kinds of haptic sensing of the
human body [–] including haptic sensing of ngers and
palms [–].
Recently, a general inference on the nger and palm pres-
sure distribution of a basketball player in the moment before
shooting a basketball has been derived: a typical basketball
player uses the index nger to control the direction and power
of force in the moment before throwing a basketball. To
support this general inference, some researchers claimed that,
according to the principles of human-motion mechanics,
the basketball player uses the index nger to control the
direction and the power of the shooting force in the moment
right before shooting a basketball []. is is because the
index nger is the longest nger and the working distance
is the longest distance, and both are helpful to control the
direction and the power of the force for shooting the bas-
ketball. However, currently, no related experimental dynamic
pressure sensing/monitoring research has been completely
conducted on a basketball player using the index nger in
the moment before throwing a basketball. In other words, the
aforementioned general inference has not been scientically
veried. To qualitatively measure and scientically verify this
general inference, we used the TekScan Grip system []
as a pressure sensor to monitor the dynamic pressure of
thengersandpalmsofbasketballplayerswhiletheywere
throwing balls. By analyzing each player’s result from the
dynamic pressure monitoring of the ngers and palm, we
veried the aforementioned general inference by using a
scientic qualitative test method. Furthermore, our veried
approach measuring the dynamic pressure distribution of
Hindawi
Journal of Sensors
Volume 2017, Article ID 9352410, 5 pages
https://doi.org/10.1155/2017/9352410
Journal of Sensors
Sensor tab
Vers a Te k
cu
Cu cable
Monitoring
computer
USB cable
AC power
Vers a Te k
hub
(a)
i1
i2
i3
m1
m2
m3
r2
r1
r3
l1
l2
l3
t1
t2
p1
p2p3
(b)
F : (a) Illustration of TekScan Grip system conguration. (b) Illustration of the nger and palm pressure distribution.
thengersandpalmcanbeappliedinmanybiomedical
and robotic applications for simulating hand manipulation.
For example, our approach can be modied to design an
anthropomorphic robot hand and measure the pressure dis-
tributions of the robot hand [], to achieve haptic feedback
(tactile and force) [, ] in robotic surgery using the da
Vinci robotic system [], and to measure the hand-arm
biodynamic response for real power tool handles []. Due
to these, our approach not only can be used for current
sport-science applications, but also can provide an important
design reference for developing future hand-manipulation
stimulating technologies in medical and robotic applications.
e design, testing, results, and discussion of our approach
are described in the following sections.
2. Design
e TekScan Grip system is illustrated in Figure (a). e
main devices constituting this system are the sensor tab,
VersaTek cu, VersaTek hub, and a monitoring computer. e
area of the sensor tab comprises  independent pressure
sensing areas, which can monitor the pressure of the ngers
and palm. e connection conguration of the TekScan
Grip system is as follows. First, the sensor tab is connected
to the VersaTek cu. e VersaTek cu can transfer the
signals from the sensor tab to the cu cable. Subsequently,
the cu cable is connected to the VersaTek hub. Finally,
the AC power of the VersaTek hub is connected to the
TekScan Grip system, and the VersaTek hub is connected to
the monitoring computer with a USB cable to monitor the
pressure distribution of the ngers and palm. e nger and
palm pressure distribution is shown in Figure (b); the gure
shows the pressure distribution of each area of the palm (𝑝1,
𝑝2,and𝑝3)andeachsegmentofthethumb(𝑡1and 𝑡2), index
nger (𝑖1,𝑖2,and𝑖3), middle nger (𝑚1,𝑚2,and𝑚3), ring
nger (𝑟1,𝑟2,and𝑟3),andlittlenger(𝑙1,𝑙2,and𝑙3). By using
theTekScanGripsystem,wecanmonitorandrecordthe
pressure of the ngers and palm of a basketball player while
that player is throwing a ball and determine the pressure of
each area of the palm and each segment of each nger.
3. Testing
To measure the actual behavior of basketball players, we
asked the college basketball players to wear the sensor system
and perform ball-shooting, and we monitored and recorded
the pressure levels of their right hands. To facilitate the
sensor installation on the hands of the basketball play-
ers, adjust the sensor positions, and avoid hygienic issues,
we mounted the sensor tab on their gloves (latex gloves,
thickness . mm; Taihang Enterprise Co. Ltd., Hsinchu,
Taiwan), following the procedure of Mastalerz et al. [].
Furthermore, to prevent the VersaTek cu from aecting the
operation of the basketball player while shooting the ball, we
carefully axed the VersaTek cu to the upper arm of each
player. Aer completing these congurations of the TekScan
Grip system, we investigated the nger and palm pressure
distributions of the players by analyzing the recording of the
sensor system. In addition, the players who we chose for
test have common features: college student, about  years
old, having a little nonprofessional basketball training (e.g.,
school team member or department team member), and
about – cm height with a similar stature. Due to the
choosing criteria, the test results are comparable.
4. Results and Discussion
e records of the nger and palm dynamic pressure dis-
tributions of college basketball players, that is, the school
basketball team member and the department basketball team
member, are shown in Figures  and , respectively. We can
analyze the results of the dynamic pressure monitoring of
the ngers and palm in three stages (rst, holding the ball;
second, liing the ball overhead; and third, the moment
Journal of Sensors
(a) (b) (c) (d)
(e) (f)
F : Photographs while shooting a ball and the nger and palm pressure distribution of the school basketball team member at the
following stages: (a, b) holding the ball, (c, d) liing the ball overhead, and (e, f) the moment before shooting the ball.
before shooting the ball). By comparing these distributions
of dynamic pressure of the nger and palm, we obtained the
following results. While holding the ball, most of the ngers
of both basketball players had a high-pressure distribution,
as shown in Figures (a), (b), (a), and (b). Because each
player’s habits are dierent, the pressure distributions were
also dierent. While liing the ball overhead, the nger
and palm pressure distribution of both basketball players
was observed on all ngers, as shown in Figures (c), (d),
(c), and (d). Finally, in the moment before shooting the
ball, both basketball players mainly used the index nger
to control the direction and power for shooting the ball,
as shown in Figures (e), (f), (e), and (f ). ese results
are consistent with the aforementioned general inference.
us, we successfully veried the general inference on the
nger and palm pressure distribution by using the scientic
qualitative test method.
5. Conclusions
By using the piezoresistive pressure sensing/monitoring sys-
tem, we successfully veried the general inference on the
nger and palm dynamic pressure distr ibution in the moment
while the basketball players throw the ball (i.e., during
ball-shooting). e experimental results of the dynamic
pressure monitoring revealed that the college basketball play-
ers mainly used the index nger to control the direction and
power for shooting the ball. ese results not only veried
the general inference but also could provide a reference for
current basketball sport science. Moreover, our approach
can provide an important design reference for future hand-
manipulation simulating technologies in medical and robotic
applications.
Conflicts of Interest
e authors declare that there are no conicts of interest
regarding the publication of this paper.
Authors’ Contributions
Chiao-Fang Hung and Chung-Chiang Chen contributed
equally to this work.
Acknowledgments
isworkissupportedbytheMinistryofScienceand
Technology, Taiwan (Grant no. --E---MY).
Journal of Sensors
(a) (b) (c) (d)
(e) (f)
F : Photographs while shooting a ball and the nger and palm pressure distribution of the department basketball team member at the
following stages: (a, b) holding the ball, (c, d) liing the ball overhead, and (e, f) the moment before shooting the ball.
References
[]J.Zavickis,M.Knite,K.Ozols,andG.Malefan,“Develop-
ment of percolative electroconductive structure in piezore-
sistive polyisoprene-nanostructured carbon composite during
vulcanization,Materials Science & Engineering C-Materials for
Biological Applications,vol.,no.,pp.,.
[] H.-B. Yao, J. Ge, C.-F. Wang et al., “A exible and highly pres-
sure-sensitive graphene-polyurethane sponge based on frac-
tured microstructure design,Advanced Materials,vol.,no.
, pp. –, .
[] E. Laukhina, R. Pfattner, L. R. Ferreras et al., “Ultrasensitive
piezoresistive all-organic exible thin lms,Advanced Materi-
als,vol.,no.,pp.,.
[] S. Stassi, V. Cauda, G. Canavese, and C. F. Pirri, “Flexible tactile
sensing based on piezoresistive composites: a review,Sensors,
vol. , no. , pp. –, .
[] J. Sosa, J. A. Montiel-Nelson, R. Pulido, and J. C. Garcia-
Montesdeoca, “Design and Optimization of a Low Power
Pressure Sensor for Wireless Biomedical Applications,Journal
of Sensors,vol.,ArticleID,.
[] A. Mastalerz, E. Nowak, I. Palczewska, and E. Kalka, “Maximal
grip force during holding a cylindrical handle with dierent
diameters,Human Movement,vol.,no.,pp.,.
[] S.Chun,H.Jung,Y.Choi,G.Bae,J.P.Kil,andW.Park,“Atactile
sensor using a graphene lm formed by the reduced graphene
oxide akes and its detection of surface morphology,Carbon,
vol. , pp. –, .
[] A. J. Shaw, B. A. Davis, M. J. Collins, and L. G. Carney, “A Tech-
nique to Measure Eyelid Pressure Using Piezoresistive Sensors,
IEEE Transactions on Biomedical Engineering, vol. , no. , pp.
–, .
[] J. C. Roberts, A. C. Merkle, P. J. Biermann et al., “Computa-
tional and experimental models of the human torso for non-
penetrating ballistic impact,Journal of Biomechanics,vol.,
no. , pp. –, .
[] Y. Wang, L. Wang, T. Yang et al., “Wearable and highly sen-
sitive graphene strain sensors for human motion monitoring ,
Advanced Functional Materials,vol.,no.,pp.,
.
[] M. Melnykowycz, M. Tschudin, and F. Clemens, “Piezoresistive
so condensed matter sensor for body-mounted vital function
applicat ions,Sensors (Switzerland),vol.,no.,articleno.,
.
[] D. Giovanelli and E. Farella, “Force sensing resistor and evalua-
tion of technology for wearable body pressure sensing,” Journal
of Sensors,vol.,ArticleID,.
[] A.Drimus,G.Kootstra,A.Bilberg,andD.Kragic,“Designofa
exible tactile sensor for classication of rigid and deformable
objects,Robotics and Autonomous Systems,vol.,no.,pp.
, .
[] R. E. Fan, M. O. Culjat, C.-H. King et al., “A haptic feedback
system for lower-limb prostheses,IEEE Transactions on Neural
Journal of Sensors
Systems and Rehabilitation Engineering,vol.,no.,pp.
, .
[] M. Y. Chuah and S. Kim, “Enabling force sensing during ground
locomotion: A bio-inspired, multi-axis, composite force sensor
using discrete pressure mapping,IEEE Sensors Journal,vol.,
no. , pp. –, .
[] J. Castellanos-Ramos, R. Navas-Gonz´
alez, H. Macicior, T.
Sikora,E.Ochoteco,andF.Vidal-Verd
´
u, “Tactile sensors based
on conductive polymers,Microsystem Technologies,vol.,no.
, pp. –, .
[] C.-H. King, M. O. Culjat, M. L. Franco et al., “Tactile feedback
induces reduced grasping force in robot-assisted surgery,IEEE
Transactions on Haptics,vol.,no.,pp.,.
[] J. Hwang, J. Jang, K. Hong et al., “Poly(-hexylthiophene)
wrapped carbon nanotube/poly(dimethylsiloxane) composites
for use in nger-sensing piezoresistive pressure sensors, Car-
bon, vol. , no. , pp. –, .
[] C. Antfolk, C. Balkenius, G. Lundborg, B. Rosen, and F.
Sebelius, “A tactile display system for hand prostheses to dis-
criminate pressure and individualnger localization,Journal of
Medical and Biological Engineering,vol.,no.,pp.,
.
[] A.M.Almassri,W.Z.W.Hasan,andS.A.Ahmad,“Pressure
sensor: s tate of the art, design, and applic at ion for robotic hand,
Journal of Sensors,vol.,ArticleID,pages,.
[] L. Zhen, L. Wang, and Z. Hao, “A biomechanical analysis of bas-
ketball shooting,International Journal of Simulation—Systems,
Science & Technology,vol.,no.B,p.,.
[] TekScan Grip System. Available online: https://www.tekscan
.com/products-solutions/systems/grip-system.
[] H.Kawasaki,T.Komatsu,andK.Uchiyama,“Dexterousanthro-
pomorphic robot hand with distributed tactile sensor: Gifu
hand II,IEEE/ASME Transactions on Mechatronics,vol.,no.
, pp. –, .
[] C. Diaz and S. Payandeh, “Multimodal Sensing Interface for
Haptic Interaction,Journal of Sensors,vol.,ArticleID
,  pages, .
[]C.Wu,A.Song,Y.Ling,N.Wang,andL.Tian,“Acontrol
strategy with tactile perception feedback for emg prosthetic
hand,Journal of Sensors, vol. , Article ID ,  pages,
.
[] M. Culjat, C.-H. King, M. Franco, J. Bisley, W. Grundfest, and
E. Dutson, “Pneumatic balloon actuators for tactile feedback in
robotic surgery,Industrial Robot,vol.,no.,pp.,
.
[] M. Kalra, S. Rakheja, P. Marcotte, K. N. Dewangan, and S.
Adewusi, “Feasibility analysis of low-cost exible resistive sen-
sors for measurements of driving point mechanical impedance
of the hand-arm system,International Journal of Industrial
Ergonomics,vol.,pp.,.
... The high complexity of competitive activity in basketball places high demands on all aspects of an athlete's preparation. Under conditions of fierce competition in non-standard situations with a shortage of time and space, the player must reliably and effectively solve constantly arising technical and tactical problems [3], [13], [14], [29], [37]. Therefore, in addition to physical preparedness and training, and working capacity, a high psychophysiological state and strong coordination abilities, technical and tactical skills, and psychological and stress resistance are necessary [1], [5], [26]. ...
... The index finger of the leading hand which determines the fly path of the ball should be located at the medium of the distance between the thumb and the small finger [3], [29]. A study monitoring the dynamic pressure of the fingers and palms during a basketball shot con-firmed the observations regarding the distribution of finger strength the moment a shot is taken with players using their index finger to control the direction and strength of the throw [14]. During the period of lifting the ball above the head, the pressure of the fingers of the leading hand on the ball is evenly distributed. ...
... During the period of lifting the ball above the head, the pressure of the fingers of the leading hand on the ball is evenly distributed. Nonetheless, at the time of the release of the ball, basketball player uses the index finger to control the direction and force of shooting the ball into the basket [14], [26]. However, although Oks et al. [26], determined the biomechanical indicators of the wrist and fingers at the time of shoot however, they did not study the reproduction of the specified muscle efforts of the fingers. ...
Article
Full-text available
Purpose Performing effective actions requires the basketball player to balance factors such as motor variability, error minimalization and a complex sequence of coordination to determine the best action. Aim of study. The aim of the study was to differentiate the strength of the muscles of the index and middle fingers when performing a basketball shot. Methods Material and method. Study group enrolled 122 male college basketball league students. The study included psychophysiological tests to determine indices of individual and typological characteristics of higher nervous activity, proprioceptive sensitivity tests of the fingers of the leading hand, and field tests to assess participants' shooting skills. The touch-based finger pressure sensing system measured the different levels of pressure exerted by the participants' main index and middle finger during grasping. Results For both the middle and index finger, the highest correlation with shot efficiency was found for a 120 g load g (p < 0,01 for 2PS; 2PS40 suc; FT; 3PSO and 3,5mS). Furthermore, high reproducibility of proprioceptive sensitivity of the index and middle finger of the leading hand was found in basketball players. Conclusions The research indicates that it is possible to organize compensatory behavior between joints on the basis of proprioception, with the last compensatory movements of the kinematic chain being performed by the fingers of the hand. The demonstrated high proprioceptive sensitivity of the index and middle finger of the leading hand in basketball players at a weekly interval may indicate ability to maintain high repeatability of movements controlled by these fingers.
... The attempts to monitor wrist motion and fingers-ball and palm-ball interaction during the shot were made in studies (Ohnishi, Ryu, Chung, Colbaugh, & Rowen, 1992) and (Hung, Chen, Lin, & Chung, 2017), correspondently. Wrist motion was analysed using custom made electrogoniometer. ...
... Index finger is the last finger, contacted with the ball before the moment of ball's breakaway from a hand. Obtained results are in accordance to the same received earlier (Hung et al., 2017). Temporal parameters of wrist extension-flexion fazes obtains using data from palm/dorsal strain sensors (see Fig. 5) Application of corresponding calibration curves (Fig. 4) gives the possibility to determine absolute values of wrist angular positions too. ...
Article
Full-text available
Nowadays, basketball is one of the most entertaining and popular sports. In the last years, the number of people that are dedicating themselves to basketball has grown rapidly. The increasing number of sportsmen defines the increasing demand to monitor and analyse their performance, hereby granting the possibility to review and evaluate mistakes made within different game phases, which, in turn, would be useful for future training. The present research is the first step to develop a wireless system (Smart Basketball Glove (SBG)) for basketball shot analysis and training. SBG system is based on knitted tension and pressure sensors that were already successfully used in Smart Socks and Smart Shirt applications. These sensors, while embedded into the proposed system’s textile part, showed high tactile sensitivity and speed of response and, therefore, demonstrates potential abilities to analyse the wrist and fingers movement and estimate the forces with which fingers interact with the ball during basketball shot. Necessary requirements for data acquisition and transition device of SBG are formulated for further system’s development as well.
... The index and middle or middle and ring fingertips are the last two points to make contact with the basketball. By applying different amounts of force with each finger, the player can make very small corrections that affect the trajectory of the ball [49]. ...
Article
Full-text available
Prosthetics are an extension of the human body and must provide functionality similar to that of a non-disabled individual to be effective. Sports prosthetics such as the Flex-Foot Cheetah from Össur have demonstrated the value of creating devices that both provide mechanical support and introduce passive energy return to mimic forces otherwise produced at joints. These energy return mechanisms have not yet been demonstrated for upper limb prosthetics but could improve their effectiveness and provide a greater range of motion and control. Using multi-material 3D printing technology, we extend energy return components to upper limb prosthetics by developing novel force-sensing springs and applying them to a basketball prosthetic. The 3D-printed springs compensate for the forces otherwise generated by wrist and finger flexion while measuring the mechanical deflection. We discuss design guidelines, methods for integrated 3D printed energy return within prosthetics, and broader applications in assistive technologies.
... Basketbolcularda serbest atış şut isabeti ile el kavram kuvveti arasındaki ilişkilerin anlamlı olduğunu tespit eden araştırmalar bulunmaktadır [12], [13]. Başka bir çalışmada atış eli avuç içi ve parmak basıncının çalışmamıza yakın bir şekilde şuta etki ettiğini tespit etmişlerdir [14]. Dominant el belirtilmeyerek Gür ve ark. ...
Conference Paper
Full-text available
Araştırmada adölesan dönemde olan erkek basketbolcuların fiziksel performansları ve basketbol oynadığı süre ile şut performansı arasındaki ilişkinin belirlenmesi amaçlanmıştır. Altyapı basketbol liglerinde yer alan 30 erkek basketbolcu (Yaş = 14.93±1.00) araştırmaya gönüllü olarak katılmıştır. Katılımcıların boy uzunluğu ve vücut ağırlığı ölçümleri yapılmış beden kütle indeksi değeri hesaplanmıştır. Fiziksel performans unsurları olarak kavrama kuvvet, dikey sıçrama, çeviklik ve esneklik parametreleri ölçülmüştür. Basketbol deneyimleri katılımcıların belirtikleri tarihler dikkate alınarak hesaplanmıştır. Basketbola özgü şut performansının belirlenmesinde uluslararası bir test kullanılmıştır. Araştırmanın istatistiksel analizinde verilerin normal dağılıp dağılmadığı basıklık-çarpıklık değerleri kontrol edilerek belirlenmiştir. Bu noktada belirlenen değişkenler arasındaki ilişkinin tespit edilmesinde Pearson Momentler Çarpımı Sıra Korelasyon analizinden yararlanılmıştır. Bulgular neticesinde basketbolcuların fiziksel performansını temsil eden kavrama kuvveti, dikey sıçrama, çeviklik ve esneklik unsurlarının şut performansı arasında herhangi bir ilişki belirlenmemiştir (p>0.05). Katılımcıların basketbol deneyimleri ya da basketbol oynadıkları süre ile şut performansı (şut isabet oranı) arasında ise pozitif yönlü zayıf düzeyde bir ilişki olduğu tespit edilmiştir (r = 0.35; p<0.05). Araştırma sonucu olarak; adölesan dönem içinde yer alan araştırma grubumuzun fizik performans unsurları ile şut performansının bir ilişkisi olmadığı ortaya konulmuştur. Basketbol oynama süresi ile şut isabet oranı arasında bir ilişkinin olduğu ortaya konulmuştur. Dolayısıyla basketbol deneyiminin ya da daha uzun süre basketbol oynamış olmak şut isabet oranını olumlu yönde etkileyebileceği düşünülmektedir.
... Kinnunen, Colon, Mathilde, Overby, and Lewis (2001), conducted a study on 33 female basketball players aged between 8 and 11 without specifying the dominant hand and found a statistically significant correlation between free throw values and hand grip strength measurements (p<0.05). Hung, Chen, Lin, and Chung (2017), found that hand, palm and finger pressure significantly affect shooting accuracy. Gencer, Iğdır, Temur, Sarıkaya, and Seyhan (2019), conducted a study on 40 male-right-handed basketball players between the ages of 13-17 who play professional basketball in Van province. ...
Article
Full-text available
This study aims to examine the effects of elite female basketball players’ hand anthropometric measurements, hand-grip strength and balance skills on their shooting performance. The age, height, weight, body mass index and hand anthropometric values, hand-grip strength and balance of the athletes were measured, and Aahperd shot tests were applied. Data analysis was performed through SPSS 24 package program. Data analyses included the Shapiro-Wilk Test applied to determine whether there is a normal distribution, and Pearson correlation analysis used to evaluate the correlation status of the parameters with the normal distribution of the data. The average age of the 12 female athletes participating in the study was 21.83 ± 4.407 years, the average height was 171.50 ± 6.95 cm, the average body weight was 68.60 ± 17.96 kg and the mean Body Mass Index was 23.99 ± 4.72. has been determined. It was determined that the average right hand grip strength of 12 female athletes participating in the study was 35.92 ± 6.127 kg and the average left hand grip strength was 32.92 ± 5.807 kg. Among the balance parameters, the balance mean deviation value was determined as 07 ±, 048, the balance average speed value as 42 ± 119, the balance path length value as 12.19 ± 3.473 and the balance area value as 02 ±. The Aahperd shot test mean value was also determined to be 18.67 ± 2.425. The analyses regarding the hand anthropometrics parameter of the 12 athletes indicate that there is no significant correlation between shot performance and hand length, width, palm length, third finger length, hand shape index, finger index and hand surface area. Besides, it is determined that there is no significant correlation between the hand grip strength and balance test results and shooting performance. The data revealed that the dominant hand measurements, test values and shooting performance of the athletes are not significantly correlated. Article visualizations: </p
... However, there are studies with different values due to the factors such as geographical differences, different exercising methods and variable physical attributes such as athlete heights and body weights (Barut et al., 2008). In their study, Hung et al., (2017) put forward that palm and finger pressure of the shooting hand affects the shooting in a similar way found in our study. In the study of Gur et al., (2017), without stating the dominant hand, it was found that grip strength of right and left hands affect hit rates. ...
Article
Full-text available
This study aims to review the relation between shots and support hand grip strength with shot hit rates on the licensed male basketballers in city of Van. The participants of this study was volunteers of 40 licensed male basketball players who have shooting hands of (dominant) right, aged between 13-17. The participants went through shot and hand grip strength tests and then the effect of shooting hand (dominant) and support hand (non-dominant) on shot hit rates are reviewed. After seeing that the obtained data showed normal distribution, Pearson Correlation Test is applied in order to define the relation between the groups. The mean age of basketballers is found to be 15,15±1,44, mean height is 174,08±9,88 cm and mean weight is 63,07±11,90 kg. The mean of free throw shooting test which basketballers had is measured to be 16,97±5,04. A significant difference is found between shooting hand grip strength and free throw shooting hit rates (p<0,05). However, no significant relation is found between supporting hand grip strength and free throw shooting test (p>0,05). As a result, the fact that the supporting hand grip strength of participating basketball players, which is the hand that keeps the ball in balance for shooting (non-dominant), does not have a significant effect on the shot hit rates (p>0,05), and the fact that the shooting hand of basketballers is the dominant hand and also that strength values are significantly different which is not in favor of the non-dominant hand shows that only shooting hand grip strength affects free throw shooting hit rates in basketball, consequently affecting the success of the competition.
Article
Full-text available
Two capacitive sensing units were designed, fabricated, and embedded into two corresponding fingerstalls through microelectronic and additive manufacturing with flexible materials and ergonomic considerations in this study. The sensing units were routed to an adaptor, which in turn was routed to a transmission port (comprising a signal converter and a Bluetooth module), realizing a wearable and wireless force sensing system for sports science applications as the objective. The collected capacitive signals were converted through a preliminarily established database, indicating local force distributions on finger segments. Practical examinations with badminton actions (forehand cross-net shots) were conducted by players to show the effectiveness of the proposed system as an application example. Statistical and quantified results reflected the visual observations on valid shots (67% and 39% for the professional and amateur players, respectively) and well-controlled racket-holding attitude (19.69% and 35.31% force application difference between the first two segments of the index finger of the professional and amateur player, respectively). These proved that the proposed system outperforms existing similar systems in the market and is able to not only classify players with different skill levels but also distinguish attitude stability and controllability, showing scientific evidence in sports science for the first time.
Article
Full-text available
Purpose Performing effective actions requires the basketball player to balance factors such as motor variability, error minimalization and a complex sequence of coordination to determine the best action. Aim of study. The aim of the study was to differentiate the strength of the muscles of the index and middle fingers when performing a basketball shot. Methods Material and method. Study group enrolled 122 male college basketball league students. The study included psychophysiological tests to determine indices of individual and typological characteristics of higher nervous activity, proprioceptive sensitivity tests of the fingers of the leading hand, and field tests to assess participants' shooting skills. The touch-based finger pressure sensing system measured the different levels of pressure exerted by the participants' main index and middle finger during grasping. Results For both the middle and index finger, the highest correlation with shot efficiency was found for a 120 g load g (p < 0,01 for 2PS; 2PS40 suc; FT; 3PSO and 3,5mS). Furthermore, high reproducibility of proprioceptive sensitivity of the index and middle finger of the leading hand was found in basketball players. Conclusions The research indicates that it is possible to organize compensatory behavior between joints on the basis of proprioception, with the last compensatory movements of the kinematic chain being performed by the fingers of the hand. The demonstrated high proprioceptive sensitivity of the index and middle finger of the leading hand in basketball players at a weekly interval may indicate ability to maintain high repeatability of movements controlled by these fingers.
Article
Full-text available
This paper investigates the integration of a multimodal sensing system for exploring limits of vibrato tactile haptic feedback when interacting with 3D representation of real objects. In this study, the spatial locations of the objects are mapped to the work volume of the user using a Kinect sensor. The position of the user’s hand is obtained using the marker-based visual processing. The depth information is used to build a vibrotactile map on a haptic glove enhanced with vibration motors. The users can perceive the location and dimension of remote objects by moving their hand inside a scanning region. A marker detection camera provides the location and orientation of the user’s hand (glove) to map the corresponding tactile message. A preliminary study was conducted to explore how different users can perceive such haptic experiences. Factors such as total number of objects detected, object separation resolution, and dimension-based and shape-based discrimination were evaluated. The preliminary results showed that the localization and counting of objects can be attained with a high degree of success. The users were able to classify groups of objects of different dimensions based on the perceived haptic feedback.
Article
Full-text available
A soft condensed matter sensor (SCMS) designed to measure strains on the human body is presented. The hybrid material based on carbon black (CB) and a thermoplastic elastomer (TPE) was bonded to a textile elastic band and used as a sensor on the human wrist to measure hand motion by detecting the movement of tendons in the wrist. Additionally it was able to track the blood pulse wave of a person, allowing for the determination of pulse wave peaks corresponding to the systole and diastole blood pressures in order to calculate the heart rate. Sensor characterization was done using mechanical cycle testing, and the band sensor achieved a gauge factor of 4-6.3 while displaying low signal relaxation when held at a strain levels. Near-linear signal performance was displayed when loading to successively higher strain levels up to 50% strain.
Article
Full-text available
Wearable technologies are gaining momentum and widespread diffusion. Thanks to devices such as activity trackers, in form of bracelets, watches, or anklets, the end-users are becoming more and more aware of their daily activity routine, posture, and training and can modify their motor-behavior. Activity trackers are prevalently based on inertial sensors such as accelerometers and gyroscopes. Loads we bear with us and the interface pressure they put on our body also affect posture. A contact interface pressure sensing wearable would be beneficial to complement inertial activity trackers. What is precluding force sensing resistors (FSR) to be the next best seller wearable? In this paper, we provide elements to answer this question. We build an FSR based on resistive material (Velostat) and printed conductive ink electrodes on polyethylene terephthalate (PET) substrate; we test its response to pressure in the range 0–2.7 kPa. We present a state-of-the-art review, filtered by the need to identify technologies adequate for wearables. We conclude that the repeatability is the major issue yet unsolved.
Article
Full-text available
A blood pressure sensor suitable for wireless biomedical applications is designed and optimized. State-of-the-art blood pressure sensors based on piezoresistive transducers in a full Wheatstone bridge configuration use low ohmic values because of relatively high sensitivity and low noise approach resulting in high power consumption. In this paper, the piezoresistance values are increased in order to reduce by one order of magnitude the power consumption in comparison with literature approaches. The microelectromechanical system (MEMS) pressure sensor, the mixed signal circuits signal conditioning circuitry, and the successive approximation register (SAR) analog-to-digital converter (ADC) are designed, optimized, and integrated in the same substrate using a commercial 1 μ m CMOS technology. As result of the optimization, we obtained a digital sensor with high sensitivity, low noise (0.002 μ V/Hz), and low power consumption (358 μ W). Finally, the piezoresistance noise does not affect the pressure sensor application since its value is lower than half least significant bit (LSB) of the ADC.
Article
Full-text available
To improve the control effectiveness and make the prosthetic hand not only controllable but also perceivable, an EMG prosthetic hand control strategy was proposed in this paper. The control strategy consists of EMG self-learning motion recognition, backstepping controller with stiffness fuzzy observation, and force tactile representation. EMG self-learning motion recognition is used to reduce the influence on EMG signals caused by the uncertainty of the contacting position of the EMG sensors. Backstepping controller with stiffness fuzzy observation is used to realize the position control and grasp force control. Velocity proportional control in free space and grasp force tracking control in restricted space can be realized by the same controller. The force tactile representation helps the user perceive the states of the prosthetic hand. Several experiments were implemented to verify the effect of the proposed control strategy. The results indicate that the proposed strategy has effectiveness. During the experiments, the comments of the participants show that the proposed strategy is a better choice for amputees because of the improved controllability and perceptibility.
Article
Full-text available
We survey the state of the art in a variety of force sensors for designing and application of robotic hand.Most of the force sensors are examined based on tactile sensing. For a decade, many papers have widely discussed various sensor technologies and transducer methodswhich are based on microelectromechanical system(MEMS) and silicon used for improving the accuracy and performance measurement of tactile sensing capabilities especially for robotic hand applications.We found that transducers and materials such as piezoresistive and polymer, respectively, are used in order to improve the sensing sensitivity for graspingmechanisms in future.This predicted growth in such applications will explode into high risk tasks which requires very precise purposes. It shows considerable potential and significant levels of research attention.
Article
Full-text available
Sensing strain of soft materials in small scale has attracted increasing attention. In this work, graphene woven fabrics (GWFs) are explored for highly sensitive sensing. A flexible and wearable strain sensor is assembled by adhering the GWFs on polymer and medical tape composite film. The sensor exhibits the following features: ultra-light, relatively good sensitivity, high reversibility, superior physical robustness, easy fabrication, ease to follow human skin deformation, and so on. Some weak human motions are chosen to test the notable resistance change, including hand clenching, phonation, expression change, blink, breath, and pulse. Because of the distinctive features of high sensitivity and reversible extensibility, the GWFs based piezoresistive sensors have wide potential applications in fields of the displays, robotics, fatigue detection, body monitoring, and so forth.
Article
Shooting technology as the core technology in the basketball game, from the point of view of biomechanics, basketball shooting skill is a very effective means to improve the shooting percentage of basketball shooting. The details of basketball shooting were analyzed by the methods of aerodynamics, biomechanics, sports science and statistics. Through the analysis of shooting action, based on the mathematical and physical methods as auxiliary means, analysis of human shooting motion arm trajectory, shooting direction, angle, shooting efforts, and shooting rate between the relationship, from the relationship between time, speed, distance and other physical quantities are analyzed and calculated, to improve the method of shooting skills were the summary of the research and the practice.
Article
To imitate tactile sensing for application to artificial skin, we propose a highly sensitive tactile sensor for a flexible architecture by introducing a film of the reduced graphene oxide flakes that significantly enhances the sensitivity for static and dynamic input forces. Its working pressure covers the human perception range due to interaction with touching events. In particular, high sensitivity (40.8 kPa−1) for the low pressure response allows the detection of internal pressure generated by muscle movement. Demonstrations are performed to monitor the motions of the finger and elbow through a sensor attached to human skin. In addition, detection of the dynamic pressure induced by an artificial fingerprint structure equipped on the sensor is tested and analyzed using different scan velocities (3–32.5 mm/s) to ensure the tactile sensing capability.
Article
This study explored the feasibility of the flexible resistive (FlexiForce) force sensors for measurement of the hand-arm biodynamic response. Two FlexiForce sensors were installed on an instrumented handle to measure the palm-handle and finger–handle interface dynamic forces. The measurements were performed with six subjects grasping a 38 mm diameter instrumented handle with nine different combinations of grip (10, 30 and 50 N) and push (25, 50 and 75 N) forces and two levels of broad-band random vibration (1.5 and 3.0 m/s2 weighted rms acceleration) in the 4–1000 Hz frequency range. The data acquired from the instrumented handle was analyzed to determine the palm and finger impedance responses, which served as the reference values to evaluate feasibility of the FlexiForce sensors. The comparisons revealed very similar trends, while the impedance magnitude responses obtained from the FlexiForce sensors were substantially lower in the entire frequency range than the reference values, except at very low frequencies. A correction function was subsequently developed and applied to the FlexiForce measured data, which resulted in similar hand-arm impedance response trends compared to the reference values. It was concluded that the low-cost FlexiForce sensors could be applied for measurements of biodynamic responses of the hand-arm system in real tool handles in the field. Due to the physiological risks associated with prolonged exposure to tool vibration the applicability of a low-cost biodynamic response measurement system can be used as a preventative measure for such risks.