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The standardized jump-landing task consists of 2 segments: (1) subject jumps down from box and lands on ground and (2) subject immediately jumps vertically upward as high as possible. 

The standardized jump-landing task consists of 2 segments: (1) subject jumps down from box and lands on ground and (2) subject immediately jumps vertically upward as high as possible. 

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Anterior cruciate ligament injuries are common in athletes and have serious sequelae. A valid clinical tool that reliably identifies individuals at an increased risk for ACL injury would be highly useful for screening sports teams, because individuals identified as "high-risk" could then be provided with intensive prevention programs. A clinical sc...

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... knee valgus moments during a drop-landing task were at an increased risk of sustaining an ACL injury. 19 Although knee valgus angle and moment are identified as risk factors for ACL injury, this does not imply that isolated knee valgus is the primary ACL injury mechanism because isolated knee valgus does not facilitate sufficient load to injure the ACL without first causing medial collateral ligament injury. 7,15,28-30 Rather, knee valgus occurring in combination with other ACL loading mechanisms, such as anterior tibial shear force, may generate significant ACL loading between knee flexion angles of 0 ° and 40 ° . 28 The presence of faulty movement patterns in addition to knee valgus likely contributes to an elevated risk of noncontact ACL injury. Women have a higher incidence of ACL injury relative to men performing the same activities. 18 Thus, gender differences in sagittal plane and transverse plane motions at the hip and knee are also hypothesized to be potential risk factors for ACL injury. Potential risk factors in these planes include decreased knee flexion angle, 11,27,34 increased anterior tibial shear force, 12 decreased hip flexion angle, 11,25,26,34 increased hip internal rotation angle, 11 and increased knee internal rotation angle 31 during dynamic activities. To identify subjects at high risk for ACL injury it is necessary to have a standardized tool for detecting the presence of multiple high-risk movement patterns. The Landing Error Scoring System (LESS) is an inexpensive clinical assessment tool that we developed to provide a standardized instrument; it uses 2 standard video cameras for identifying potentially high-risk movement patterns (“errors”) during a jump-landing maneuver. Laboratory- based motion analysis systems are undoubtedly the gold standard for investigating biomechanical risk factors. However, because of time and cost constraints they are an impractical means to perform large-scale mass screenings with the goal of identifying subjects with high-risk movement patterns. To be feasible, a clinical assessment tool for high-risk landing mechanics should be brief, easily imple- mented as part of a large-scale team-screening session, and should provide a valid and reliable measure of landing biomechanics. We developed the LESS to meet this need. The purpose of this study was to investigate the con- current validity and reliability of the LESS. Laboratory- based 3-dimensional motion analysis was used as the gold standard against which we assessed the validity of the LESS. We hypothesized that the LESS would be able to distinguish between subjects with different joint kinematics and kinetics in the sagittal, frontal, and transverse planes of motion. In addition, we hypothesized that women (who are at higher risk of ACL injury) would have worse LESS scores compared with men. We collected LESS data on 2691 subjects who were incoming freshmen at the 3 large US military academies to compare 2 motion analysis systems: a sophisticated laboratory system (gold standard) and an inexpensive field analysis system (LESS) using 2 commercial video record- ers. Each subject was analyzed simultaneously with the laboratory and field motion analysis systems. The kinematic and kinetic measures from the 3-dimensional motion analysis were used as the gold standard to assess the validity of the LESS. We also examined whether the LESS varied by gender, and established the intrarater and interrater reliability of the LESS using multiple raters for a subset of 50 subjects. This study uses data from the first 2 years of enrollment in the JUMP-ACL (Joint Undertaking to Monitor and Prevent ACL Injury) study, a prospective study of biomechanical risk factors for ACL injury. There were 2691 participants (men: N = 1655, height = 178.29 ± 7.12 cm, weight = 77.54 ± 12.34 kg; women: N = 1036, height = 165.94 ± 6.63 cm, weight = 63.12 ± 7.88 kg) included in this study. Participants were incoming freshmen at the 3 largest US military academies who were deemed fit to participate in a physically demanding military training program and were preparing to participate in competitive collegiate or recreational varsity sports. Previous knee injury was not an exclusion criterion for participation in this study, but participants had to be healthy and free of orthopaedic injury at the time of testing. All subjects signed an informed con- sent form approved by multiple internal review boards before entering the JUMP-ACL study. Data were collected during July/August 2005 and July/August 2006. The LESS data (inexpensive field analysis using 2 standard video cameras) and 3-dimensional motion analysis (gold standard) were collected simultaneously during a jump-landing task. The jump-landing task incorporated vertical and horizontal movements as participants jumped from a 30-cm high box to a distance of 50% of their height away from the box, down to a force platform, and immediately rebounded for a maximal vertical jump on landing (Figure 1). During task instruction, emphasis was placed on subjects jumping as high as they could once they landed from the box. Subjects were not provided any feedback or coaching on their landing technique unless they were performing the task incorrectly. After task instruction, the subject was given as many practice trials as needed (typically 2) to perform the task successfully. A successful jump was characterized by (1) jumping off of both feet from the box; (2) jumping forward, but not vertically, to reach the force plate below; (3) landing with the entire foot of the dominant lower extremity on the force plate; (4) landing with the entire foot of the nondominant lower extremity off the force plate; and (5) completing the task in a fluid motion. After task instruction and practice jumps (typically 2), electromagnetic tracking sensors were attached and digiti- zation of the local segments and joint centers occurred. Participants performed 3 successful trials of the jump- landing task. Total testing time, including setup, was typically 5 minutes or less per subject. System (LESS). Two standard video cameras (DCR-HC38 MiniDV Handycam Camcorder, Sony Electronics, San Diego, California) captured a frontal plane and sagittal plane view of each subject as he or she performed the testing procedures. Figure 2 shows the specifications of the camera setup. The LESS score is simply a count of landing technique “errors” on a range of readily observable items of human movement. A higher LESS score indicates poor technique in landing from a jump; a lower LESS score indicates bet- ter jump-landing technique. There are 17 scored items in the LESS. Table 1 (see online Appendix 1 for this article at provides opera- tional definitions and scoring details for each item. One set of items addresses lower extremity and trunk positioning at the time of initial contact with the ground (items 1-6). A second set of items assesses errors in positioning of the feet (items 7-11) and are scored at initial ground contact (item 11), at the time the entire foot is in contact with the ground (items 7 and 8), and between the time of initial contact and maximum knee flexion (items 9 and 10). A third set of items assesses lower extremity and trunk movements between initial contact with the ground and the moment of maximum knee flexion angle (items 12-14) or the moment of maximum knee valgus angle (item 15). Finally, 2 “global” items address overall sagittal plane movement and the rater’s general perception of landing quality (items 16 and 17). Operationally, each test jump is videotaped (using 2 “off-the-shelf ” camcorders) from both front and side views. The 2 videos are replayed at a later date and the LESS is scored during replay using pause and rewind controls. To simplify the scoring process, the rater focused on a designated “test leg,” typically defined as the dominant leg. (We use the question, “Which leg do you refer to kick a ball with?” to establish leg dominance.) A trained rater requires 3 to 4 minutes to score 3 jump-landing trials per subject. The LESS scoring sheet is machine-readable and was created using TeleForm software (Cardiff, Vista, California). Training materials and scoring sheets can be downloaded at www.unc.edu/sportmedlab/less. Laboratory-based Motion Analysis. A Flock of Birds (Ascension Technologies, Inc, Burlington, Vermont) electromagnetic motion analysis system controlled by Motion Monitor software (Innovative Sports Training, Inc, Chicago, Illinois) was used to assess lower extremity kinematics at a sampling rate of 144 Hz. A nonconductive force plate (model 4060-NC, Bertec Corporation, Columbus, Ohio) was used to collect ground-reaction forces. Force plate data were collected synchronously with the kinematic data at a sampling rate of 1440 Hz. Previous research has reported that electromagnetic tracking systems provide accurate 2,35 and reliable 2 data for 3-dimensional movement of body segments and joints. Electromagnetic sensors were placed on the subjects’ skin over the L5 spinous process, lateral aspect of the thigh, and anteromedial aspect of the proximal tibia. Data indicating the orientation and position of each sensor relative to a standard range transmitter were conveyed back to a personal computer. Each sensor was placed over an area of the least muscle mass to minimize potential sensor movement and was secured using double-sided tape, pre- wrap, and athletic tape. Six bony landmarks were digitized with the end point of a stylus on which a fourth receiver was mounted. The 6 bony landmarks were the medial and lateral condyles of the femur, medial and lateral malleoli of the ankle, and left and right anterior superior iliac spine of the pelvis. Medial and lateral malleoli and femoral condyles were digitized to determine the ankle joint center and knee joint center, respectively. Left and right anterior superior iliac spine were digitized to determine the hip joint center of rotation using ...

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[Purpose] The purpose of this study was to provide useful information for future treatments and to organize rehabilitation programs for anterior cruciate ligament injury by assessing isokinetic muscle strength and laxity of knee joints in athletes with anterior cruciate ligament injuries. [Subjects and Methods] Thirty-one high school athletes with...

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... However, as muscles are generally grouped and co-activated, the comparison of an intermuscular coordination pattern (muscle synergy) during movement might be worth exploring in future studies. Furthermore, research varying the box height to and/or the horizontal landing distance relative to each participant's jumping ability or the percentage of each participant's body height [44,45] may be conducted. ...
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... Reduced hip, knee and ankle flexion and greater internal knee extension moment during landing have been linked to ACL injury risk. [80][81][82][83] Interestingly, under a given amount of quadriceps muscular contractions (internal knee extension moment) 84 or external force, 85 as the knee flexion decreases, the loading on the ACL increases. Such findings imply that ACL loading is likely greater during landings with reduced knee flexion but comparable internal knee extension moments. ...
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... There is growing interest in using DJs to prevent and rehabilitate anterior cruciate ligament (ACL) injuries [8][9][10][11][12][13][14][15][16]. The risk of sustaining an ACL injury in sports that involve jumping and pivoting movements is significantly higher in females versus males, with the relative risk estimated to be between 4 and 6 times higher for females [17]. ...
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... The independent variables were sex (male and female), fatigue (pre and post fatigue protocol), and time of muscle activation before contact "preactivation" (−200, −150, −100, −50, and 0 ms). The dependent variables were muscle activation (% of activity maximum), landing error scoring system (LESS), 37 peak vertical ground reactions forces (in newtons/body weight), and rate of loading (in body weight/second). ...
... A trial was considered successful if the participant jumped from the box with both feet at the same time, jumping forward but not vertically, initially landing with each foot on a force plate, followed by a maximal vertical jump, and then landing again with each foot on a force plate. Video recordings from the front and side were recorded using 2 fifth-generation iPod Touches (Apple) for use in the LESS, 37 which is a qualitative assessment of jump landing performance. ...
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... Correct biomechanics during high-impact landing is acknowledged as a key element for load management and injury prevention. Assessment of quality of movement is important to be included in PA, and the landing error scoring system (LESS) is considered a valid and reliable tool for the assessment of the athlete's landing pattern during a drop-jump task [19,20]. Regarding strength testing, hand-held dynamometry (HHD) is an appropriate method for use in clinical and field-based settings, with moderate to good reliability and validity [21]. ...
... For muscle strength and hop tests, a common limb symmetry index > 90% is the most common acceptable criterion [17]. For the quality of movement when using the test landing error scoring system, various cutoff scores have been suggested, with up to six errors indicating acceptable landing mechanics [20,22,23]. Apart from the one-dimensional open-kinetic chain tests for muscle strength, hop performance and landing technique represent a global body function, connected to core stability [24][25][26][27]. ...
... The LESS was performed after a five-minute rest from the SLTH test. The LESS is a valid and reliable tool [19,20] that assesses the participant's landing pattern during a drop-jump task. The athletes jumped from a 30 cm box with both feet, landed at a distance equal to half of their height, and performed a maximum vertical jump. ...
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... There is a lack of objective factors to screen for deficient movement patterns (4). The Landing Error Scoring System is a simple tool to identify potentially high-risk movement patterns during a bipedal jumplanding task (13)(14)(15). ...
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... There is evidence 12,13,19,20 for utilizing kinematic variables to screen for associated factors of LE injuries, and new innovations have made it possible to perform this efficiently with large groups of an at-risk population, such as US Military Academy (USMA) cadets. The Landing Error Scoring System (LESS) is a reliable 21 and valid 21,22 movement assessment using a markerless motion capture system (Physimax, Physimax) and depth camera (Microsoft Kinect, Microsoft Corporation) to efficiently identify subjects with increased knee valgus angles during a jump-landing task. ...
... These time points and definitions are the same as used in scoring the LESS. 21 Lower-Extremity Bone Stress Injury BSI was defined by the medical diagnoses of "stress reaction" or "stress fracture" and isolated to the LE (ie, anything including the bones and joints of the hip, thigh, knee, ankle, and foot). Any fractures related to trauma were not included. ...
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... Garrison et al. showed that individuals with FMS Score of 14 or lesser (FMSCS≤14) are at increased risk of subsequent disorder by 5 times (Garrison et al., 2015). In addition, there are other clinical evaluation tools that can detect the risk of injury (Padua et al., 2009). Landing Error Scoring System-Real Time (LESS-RT) is one of these tools that can successfully detect loading and harmful mechanics during jump-landing (Padua et al., 2009). ...
... In addition, there are other clinical evaluation tools that can detect the risk of injury (Padua et al., 2009). Landing Error Scoring System-Real Time (LESS-RT) is one of these tools that can successfully detect loading and harmful mechanics during jump-landing (Padua et al., 2009). Subjects with poor jump-landing technique (LESS-RT score> 6) have poor biomechanics in sagittal, frontal, and horizontal planes and different vertical ground reaction force characteristics in comparison with individuals with good technique (LESS-RT scores ≤4) (Padua et al., 2009). ...
... Landing Error Scoring System-Real Time (LESS-RT) is one of these tools that can successfully detect loading and harmful mechanics during jump-landing (Padua et al., 2009). Subjects with poor jump-landing technique (LESS-RT score> 6) have poor biomechanics in sagittal, frontal, and horizontal planes and different vertical ground reaction force characteristics in comparison with individuals with good technique (LESS-RT scores ≤4) (Padua et al., 2009). Another tool is the Y-Balance test (YBT), which can assess dynamic balance. ...
... Countermovement jump (CMJ) and drop vertical jump (DVJ) [31,32] were measured with a contact platform (Chronojump Boscosystem; Barcelona, Spain). For the CMJ (Figure 1b), participants were instructed to rapidly squat down and then jump as high as possible. ...
... For the evaluation of the strength functional levels of the lower limbs in futsal players, it could be interesting to apply a jump battery that includes bilateral and unilateral tests and in multiple or several jumps [30,32,50]. In this sense, no differences were observed when considering players either globally or in male or female players. ...
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Futsal is one of the most harmful sports due to its great physical demands. The asymmetries have been proposed as one of the most important risk factors of suffering an injury. However, no study has analysed the relationship between neuromuscular assessment and its implication on the likelihood of suffering injuries comparing male and female players. The purpose of the study was to analyse the physical fitness differences between elite futsal players (both male and female) who suffered an injury in the following four months after being evaluated with those who did not suffer the injuries. Twenty-six and twenty-two male and female elite futsal players were recruited from four different teams and underwent an evaluation of different neuromuscular assessments (isometric hip abduction and adduction peak torque, flexion-rotation trunk test, hop test, countermovement jump (CMJ), drop vertical jump (DVJ), leg stiffness, 15 m sprint, Y-balance test, and Illinois test) that have been considered potential sport-related injury risk factors during the pre-season. Statistical analysis only showed differences between injured and non-injured players in isometric hip adduction strength and unilateral ratio for the non-dominant leg (p < 0.05). Neuromuscular performance scores showed significant differences (p < 0.001) between male and female futsal players in several variables (hip abduction non-dominant leg, hops, CMJ, DVJ, leg stiffness, sprint, and Illinois test) but not in ratio or asymmetry. Isometric hip adduction and abduction–adduction unilateral ratio deficits for the non-dominant leg might be an important factor toward suffering an injury. Male and female futsal players showed different neuromuscular performances and consequently different training programs should be implemented for them
... However, the LESS and FMS usually rely on the visual evaluation of the clinician or trainer through video playback. The process can be subjective and time-consuming [2]. Mauntel et al. [3] used the 3D depth camera Kinect to achieve automatic scoring of LESS, but the automation of LESS using 2D camera is still not available. ...
... In 2009, Padua et al. [2] first proposed the LESS to identify subjects with a higher risk of ACL injury. The test process was recorded using cameras positioned in the sagittal and frontal planes to capture the entirety of the evaluation. ...
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This paper aims to detect the potential injury risk of the anterior cruciate ligament (ACL) by proposing an ACL potential injury risk assessment algorithm based on key points of the human body detected using computer vision technology. To obtain the key points data of the human body in each frame, OpenPose, an open-source computer vision algorithm, was employed. The obtained data underwent preprocessing and were then fed into an ACL potential injury feature extraction model based on the Landing Error Evaluation System (LESS). This model extracted several important parameters, including the knee flexion angle, the trunk flexion on the sagittal plane, trunk flexion angle on the frontal plane, the ankle-knee horizontal distance, and the ankle-shoulder horizontal distance. Each of these features was assigned a threshold interval, and a segmented evaluation function was utilized to score them accordingly. To calculate the final score of the participant, the score values were input into a weighted scoring model designed based on the Analytic Hierarchy Process (AHP). The AHP-based model takes into account the relative importance of each feature in the overall assessment. The results demonstrate that the proposed algorithm effectively detects the potential risk of ACL injury. The proposed algorithm demonstrates its effectiveness in detecting ACL injury risk, offering valuable insights for injury prevention and intervention strategies in sports and related fields. Code is available at: https://github.com/ZiyuGong-proj/Assessment-of-ACL-Injury-Risk-Based-on-Openpose