Questions related to Human Movement Science
I'm trying to synchronize imu sensor with the Motion Capture system. Is this possible? If so, how?
thanks for answering
N.B I do not want to use flight time to calculate jump height as this does not take into account the centre of mass of the individual
What is the best wall color of the lab to use with a IR cameras MoCap system (Qualisys, Vicon, Optitrack...)? We have always used white walls, without any problems. I read that blue color is the best option to use with the IR systems/spectrum. What is your opinion? Any color in particular? (please add pantone-color number)
Jose Heredia-Jimenez Human Behavior & Motion Analysis Lab. HubemaLab. University of Granada in Ceuta.
patellar reflex movement dataset which has displacement data of leg and foot which recorded by motion capture or collected in other ways
I'm going to examine the relation between the the surface electromyography (sEMG) signals and the arm movements. I have a large number of sEMG signals acquired simultaneously with a large number of human arm joint angles during different movements. Those signals were recorded from forearm and upper-arm muscles. I need to select from those sEMG a subset that contains the most informative channels representing those movements, i.e., I need to exclude the noisy signals from the analysis. So, rather than the visual inspection of the sEMG with the angle signals, is there a method to accomplish this goal? I know there are dimensionality reduction techniques, like the PCA, but I have to avoid this approach.
I'm looking for studies that proves a relation between kinetic chains' training and increasing performance in synchronized swimming for my degree's thesis.
I'm looking about proprioceptive capacities and training methods for the stabilization of chains in the right position, too.
SRT = only one stimulus and one response
CRT = more than one stimulus to respond to and each stimulus has a specific response attached to it
DRT = more than one stimulus, but only one response to one specific stimulus with other stimulus requiring no response
In the last decade, the concepts of many sciences were varied according the new studies that depend on the measurement tools, and the desired aims.
I am a rugby player, I find difficulties when I want to side step my opponents and also I am not able to pass the ball in a particular space we my teammate can intercept the ball without slowing his movement.
A subject performs arm movements in a self-paced manner. Movement parameters are captured by sensors and data is streamed in real-time to the computer. There is a fair amount of variability in the sensors readings: in the attached figure, data points captured from 3 sensors during execution of 10 repetitions of 2 types of movement are shown in the attached file.
A couple of important points:
1) In regards to training data: many subjects will be performing the same types of movements, in slightly different ways. Given the small number of repetitions that each subject will be contributing for each class (say, around 10), we want to take advantage of across-subject structure.
2) In regards to classification: Classification needs to happen in "real time", i.e. while data is streamed. We can assume a typical movement duration (say, 5 seconds) to define a "page size" of data to use for the classification, but that can be pretty variable, both within and across subjects. Ideally, the classifier will return a class more frequently, e..g once per second; obviously, at the beginning of a new movement there will be large uncertainty about the class, which will be getting smaller as more data is streamed.
I am trying to measure plantar pressure in badminton players when they make the shift to the net for linking with lower body injuries and need to have speed variable at which they are shifting around the court. Does anyone have a similar laboratory study with which to help me?
Thanks in advance
I would like to show this to people outside the field to demonstrate what happen when body representations are altered. Preferably in English. Thank you
The optical angle (Tau) changes as a function of the distance to an object (Tau = invtan(ObjectSize / distance). It is argued that when regulating distance it is a common strategy to null the change in Tau (Tau dot).
I am trying to find evidence for this theory in cyclical backwards and forwards human-avatar locomotion. However, when analyzing Tau dot there is a problem, as due to the 'tangential' relationship between Tau and the distance to an object, the rate of change for a deviation of 1 meter is more when the object is close compared to far away. Moreover, a deviation of 1 meter closer to the object results in a bigger rate of change than a deviation of 1 meter away from the object. This results into a bias for using Tau dot to quantify success in distance keeping. How can I normalize tau dot so that it is not sensitive to the distance the object is perceived from?
(I've tried tau / tau dot, but that doesn't seem to work..)
Thanks for any suggestions!
My project is based on compression of body sensor data. It's main objective is to conserve energy during transmission. Hence, the data should be continuously monitored from a person wearing sensors and performing normal routine. If anyone knows where to find such data, please help.
As far as I know, there are some methods for this purpose, such as UCM, GEM, and TNC. However, because these methods are complex, please let me know, are there a more simple methods for this purpose?
Thanks in advance,
I know that the HKB model is applicable for bimanual coordination tasks like waggling two fingers or limbs within or between persons. I am curious if there is an extension of the HKB model, or another model, that would be relevant for coordination between more than two oscillators (e.g., typing, playing piano)?
I'm looking for a bibliography about how body segments change their outer shape in motion. Trying the obvious keywords in different search engines and scientific databases basically lead me to works about (a) markerless motion capture, (b) analysis of silhouettes, and (c) face morphing. I'm more interested in the shape of other parts like upper or lower limbs.
I am looking for any experience or publication about how a coach can create a learning environment, in learning design, for exploiting self-organisation coordination tendencies that exist in human movement systems?
In modeling biologic rhythmic actions as limit-cycles, it has been reported that a negative Duffing term (i.e. -x^3) represents decreasing of variability near reversal points (or softening spring). The question is what type of "variability" we mean here? Spatial? Temporal? Any other type?
How could it be proved or visualized based on Duffing equations or any other method that variability decreases near reversal points?
for example :
the heel contact phase to the toe contact phase (the loading response phase) is ... percentage in the stance phase of running.What percentage?
the toe contact phase to the heel off phase (the midstance phase) is... percentage in the stance phase of running.What percentage?
the heel off phase to the toe off phase (push off phase) is ...percentage in the stance phase of running.What percentage?
Two foot switches are used to record the events running in my research.
please help me. thanks
Since there are a lot of references in this field, I'd like to find one or a few references that define 'coordination' once and for all (if possible).