Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables

Mentiplay, Benjamin F.; Perraton, Luke; Bower, Kelly J; Pua, Yong-Hao; McGaw, Rebekah; Heywood, Sophie; Clark, Ross

doi:10.1016/j.jbiomech.2015.05.021

Cited by 172 publications

(220 citation statements)

References 22 publications

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“…Varying degrees of accuracy have been reported for these measurements. Mentiplay et al, (2015) reported a variance in knee flexion angle during walking of up to 30°, similarly (Pfister et al 2014) reported large errors in knee flexion during walking of up to 10°. The results of the present study show enhanced accuracy of the measurement of knee flexion angles (4°).…”

Section: Discussionmentioning

confidence: 95%

“…This finding is supported by Stone et al, who also found good accuracy in the measurement of knee flexion. Several studies (Stone et al 2013;Pfister et al 2014;Mentiplay et al 2015) have evaluated the accuracy of the Microsoft Kinect, against gold standard biomechanical analysis tools, for knee flexion during various tasks. Varying degrees of accuracy have been reported for these measurements.…”

Section: Discussionmentioning

confidence: 99%

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Accuracy of a Low-Cost Novel Computer-Vision Dynamic Movement Assessment: Potential Limitations and Future Directions

McGroarty¹,

Giblin²,

Meldrum

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The aim of the study was to perform a preliminary validation of a low cost markerless motion capture system (CAPTURE) against an industry gold standard (Vicon). Measurements of knee valgus and flexion during the performance of a countermovement jump (CMJ) between CAPTURE and Vicon were compared. After correction algorithms were applied to the raw CAPTURE data acceptable levels of accuracy and precision were achieved. The knee flexion angle measured for three trials using Capture deviated by -3.8° ± 3° (left) and 1.7° ± 2.8° (right) compared to Vicon. The findings suggest that low-cost markerless motion capture has potential to provide an objective method for assessing lower limb jump and landing mechanics in an applied sports setting. Furthermore, the outcome of the study warrants the need for future research to examine more fully the potential implications of the use of low-cost markerless motion capture in the evaluation of dynamic movement for injury prevention.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Accuracy of a Low-Cost Novel Computer-Vision Dynamic Movement Assessment: Potential Limitations and Future Directions

McGroarty¹,

Giblin²,

Meldrum

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…This is due to noisy data stemming from lower extremities inaccurate tracking by the Kinect as indicated in [7,8].…”

Section: Angular Displacementsmentioning

confidence: 99%

“…In particular, in spinal cord injuries rehabilitation, the Kinect was compared with an expensive high precision optical system and was found to be an accurate low-cost and easy to use alternative [4]. The Kinect was found to be a valid tool for assessing spatiotemporal components of gait [5,6] but it is unable to accurately assess lower limb kinematics [7,8]. In order to bypass the lower extremities inaccuracy a technique that relies on knee joint relative angle has been proposed to detect foot-off and foot contact during the gait cycle [9].…”

Section: Introductionmentioning

confidence: 99%

Gesture based Human Computer Interaction for Athletic Training

Khazaeli¹,

Kari²,

Baizer³

et al. 2017

Int J Appl Exerc Physiol

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ABSTRACT:The invention of depth sensors for mobile devices, has led to availability of relatively inexpensive high-resolution depth and visual (RGB) sensing for a wide range of applications. The complementary nature of the depth and visual information opens up new opportunities to solve fundamental problems in object and activity recognition, people tracking, 3D mapping and localization, etc. One of the most i nteresting challenges that can be tackled by using these sensors is tracking the body movements of athletes and providing natural interaction as a result. In this study depth sensors and gesture recognition tools will be used to analyze the position and angle of an athlete's body parts thought out an exercise. The goal is to assess the training performance of an athlete and decrease injury risk by giving warnings when the trainer is performing a high risk activity.

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“…Video game consoles are being modified to take advantage of their internal hardware and electronic components to study human motion (e.g., gait parameters, standing balance, postural control) (Clark et al, 2015;Mentiplay et al, 2015;Xu, McGorry, Chou, Lin, & Chang, 2015). Recently (A.…”

Section: Technology In Exercise Sciencesmentioning

confidence: 99%

Technological Developments in Health Care and Exercise Sciences

Jiménez¹,

Araya²

2016

7th International Symposium on Technological Innovation

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Abstract-State of the art technology is widely used in health care and exercise sciences. The use of such technology is based on availability and mainly by cost. Current devices are light, small and portable to allow health care practitioners provide accurate diagnostic tools for effective patient treatment. Software and apps such as video games for health are embedded in cell phones and tables, making them available to everyone. Knowledge and use of these devices is not limited to the highly skilled technicians, but rather to patients and common people of all ages. Miniaturization and nanotechnology allow exploring the human body and to collect data in real time. Microrobots seem to integrate technology, miniaturization and nanotechnology; therefore, these particles will extender their applications to health care and other fields like sports. These technologies are used in combating not only diseases such as cancer, but also in sports and exercise science research to provide athletes and staff with the latest instrumentation to achieve the best performance. New materials and devices will also help athletes recovering from injuries and return to play sooner. Next technological developments will include positive key features such as portability, miniaturization, automatization, and power sustainability. They are also challenged to overcome negative features like ethics, high cost, and access to the population.

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Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables

Cited by 172 publications

References 22 publications

Accuracy of a Low-Cost Novel Computer-Vision Dynamic Movement Assessment: Potential Limitations and Future Directions

Accuracy of a Low-Cost Novel Computer-Vision Dynamic Movement Assessment: Potential Limitations and Future Directions

Gesture based Human Computer Interaction for Athletic Training

Technological Developments in Health Care and Exercise Sciences

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