Evaluation of the Microsoft Kinect as a clinical assessment tool of body sway

Yeung, Ling-Fung; Cheng, Kan; Fong, Ching‐hang; Lee, Winson C.C.; Tong, Kai-Yu

doi:10.1016/j.gaitpost.2014.06.012

Cited by 121 publications

(62 citation statements)

References 23 publications

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“…The COM can be computed by skeleton joints position and Dempster's body segment parameters. 20 We improve the methods 21 to get the COM of human from two dimensions to three dimensions. Our methods include two steps, which we are going to present as follows.…”

Section: Human Balance Determiningmentioning

confidence: 99%

Fall prediction based on biomechanics equilibrium using Kinect

Zhou

2017

International Journal of Distributed Sensor Networks

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The fall is one of the most important research fields of solitary elder healthcare at home based on Internet of Things technology. Current studies mainly focus on the fall detection, which helps medical staffs bring a fallen elder out of danger in time. However, it neither predicts a fall nor provides an effective protection against a fall. This article studies the fall prediction based on human biomechanics equilibrium and body posture characteristics through analyzing threedimensional skeleton joints data from the depth camera sensor Kinect. The research includes building a human bionic mass model using skeleton joints data from Kinect, determining human balance state, and proposing a fall prediction algorithm based on recurrent neural networks by unbalanced posture features. We evaluate the model and algorithm on an open database. The performance indicates that the fall prediction algorithm by studying human biomechanics can predict a fall (91.7%) and provide a certain amount of time (333 ms) before the elder injuring (hitting the floor). This work provides a technical basis and a data analytics approach for the fall protection.

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Section: Human Balance Determiningmentioning

confidence: 99%

Fall prediction based on biomechanics equilibrium using Kinect

Zhou

2017

International Journal of Distributed Sensor Networks

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“…While the Kinect was origi nally designed for gaming, it is currently being used as a rehabilitation tool for intervention in stroke [26], cerebral palsy [27], cognitive dysfunction [28], and fall preven tion [29]. The Kinect is also being used for the assess ment of postural control [30], gait [31], balance [3], static foot posture [32], body sway [33], and common motor movements [34], all with promising comparisons to three-dimensional gold standard systems. The use of the Kinect as a rehabilitation tool outside of the clinic and in the home [35][36][37] suggests the sensor's portability and supports the recommendation of previous research to incorporate assessment throughout the continuum of care [38].…”

Section: Microsoft Kinectmentioning

confidence: 99%

Reliability and validity of the Microsoft Kinect for assessment of manual wheelchair propulsion

Milgrom¹,

OTD²,

Foreman³

et al. 2016

J Rehabil Res Dev

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Abstract-Concurrent validity and test-retest reliability of the Microsoft Kinect in quantification of manual wheelchair pro pulsion were examined. Data were collected from five manual wheelchair users on a roller system. Three Kinect sensors were used to assess test-retest reliability with a still pose. Three sys tems were used to assess concurrent validity of the Kinect to measure propulsion kinematics (joint angles, push loop charac teristics): Kinect, Motion Analysis, and Dartfish ProSuite (Dart fish joint angles were limited to shoulder and elbow flexion). Intraclass correlation coefficients (ICCs) revealed good reliabil ity (0.87-0.99) between five of the six joint angles (neck flexion, shoulder flexion, shoulder abduction, elbow flexion, wrist flexion). ICCs suggested good concurrent validity for elbow flexion between the Kinect and Dartfish and between the Kinect and Motion Analysis. Good concurrent validity was revealed for maximum height, hand-axle relationship, and maximum area (0.92-0.95) between the Kinect and Dartfish and maxi mum height and hand-axle relationship (0.89-0.96) between the Kinect and Motion Analysis. Analysis of variance revealed sig nificant differences (p < 0.05) in maximum length between Dartfish (mean 58.76 cm) and the Kinect (40.16 cm). Results pose promising research and clinical implications for propul sion assessment and overuse injury prevention with the applica tion of current findings to future technology.

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“…Kinect as a new type of console has lots of advantages in rehabilitation training for children with mental retardation, which are proved to be more effective than those traditional methods (Yeung et al 2014). …”

Section: Kinect a Supportive Sensor For Rehabilitationmentioning

confidence: 99%

Game System for Rehabilitation Based on Kinect is Effective for Mental Retardation

et al. 2015

MATEC Web of Conferences

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Kinect has already been widely used in the area of retardation, and this study is to evaluate whether the Game System for Rehabilitation based on Kinect is effective for children with mental retardation. The subjects in this paper are 112 children with mental retardation in Zhejiang province of China. The Game System for Rehabilitation based on Kinect was applied to assist the rehabilitation of children. Before the training, the Pediatric Evaluation of Disability Inventory (PEDI) was used to evaluate abilities of children, including self-care, mobility, and social function. And after having been trained for a month, the abilities of these children were evaluated again by PEDI. The results in this paper is that, after the application of Game System for Rehabilitation based on Kinect, the PEDI score of children is significantly higher than the score before training. And it can be concluded that the Game System for Rehabilitation based on Kinect can significantly improve self-care, mobility, and social function of children with MR.

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Evaluation of the Microsoft Kinect as a clinical assessment tool of body sway

Cited by 121 publications

References 23 publications

Fall prediction based on biomechanics equilibrium using Kinect

Fall prediction based on biomechanics equilibrium using Kinect

Reliability and validity of the Microsoft Kinect for assessment of manual wheelchair propulsion

Game System for Rehabilitation Based on Kinect is Effective for Mental Retardation

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