A Review on the Use of Microsoft Kinect for Gait Abnormality and Postural Disorder Assessment.

Anthony Bawa,Maysam Abbod,Konstantinos Banitsas,Daniel Espino

doi:10.1155/2021/4360122

Abstract

Gait and posture studies have gained much prominence among researchers and have attracted the interest of clinicians. The ability to detect gait abnormality and posture disorder plays a crucial role in the diagnosis and treatment of some diseases. Microsoft Kinect is presented as a noninvasive sensor essential for medical diagnostic and therapeutic purposes. There are currently no relevant studies that attempt to summarise the existing literature on gait and posture abnormalities using Kinect technology. The purpose of this study is to critically evaluate the existing research on gait and posture abnormalities using the Kinect sensor as the main diagnostic tool. Our studies search identified 458 for gait abnormality, 283 for posture disorder of which 26 studies were included for gait abnormality, and 13 for posture. The results indicate that Kinect sensor is a useful tool for the assessment of kinematic features. In conclusion, Microsoft Kinect sensor is presented as a useful tool for gait abnormality, postural disorder analysis, and physiotherapy. It can also help track the progress of patients who are undergoing rehabilitation.

Highlights

Microsoft’s Kinect sensor is a motion-sensing device that gives users the features to interact with game consoles and computers via ways such as gestures, spoken commands, or movement [1]
Kinect sensors introduce many features that allow for more accurate research into the movement of the human body and its gestures. e sensors allow for interaction through voice commands that is a unique component of the technology
We presented Microsoft Kinect as a noncontact tool for the assessment of gait abnormality and posture disorder

Summary

Introduction

Microsoft’s Kinect sensor is a motion-sensing device that gives users the features to interact with game consoles and computers via ways such as gestures, spoken commands, or movement [1]. E sensors allow for interaction through voice commands that is a unique component of the technology. E second version of Kinect has some enhanced features compared to earlier Kinect [2]. In terms of the depth camera capabilities, Kinect v2 uses 512 × 424 pixels, while Kinect v1 uses 320 × 240 pixels, and as a result, Kinect v2 has better image recognition compared to the earlier version. Kinect v2 is noted to have a wider area view compared to Kinect v1. Another key feature is that Kinect v2 has better skeletal joint tracking where it is able to capture 26 joints, whereas Kinect v1 can only capture 20 joints. Another key feature is that Kinect v2 has better skeletal joint tracking where it is able to capture 26 joints, whereas Kinect v1 can only capture 20 joints. e unique feature of Kinect sensors can be applied to the medical field for the purposes of diagnosing diseases and physiotherapy rehabilitation of people who may have walking disabilities due to physical injury or related diseases

Methods

Findings

Discussion

Conclusion