Abstract

Several studies have examined the accuracy of the Kinect V2 sensor during gait analysis. Usually the data retrieved by the Kinect V2 sensor are compared with the ground truth of certified systems using a Euclidean comparison. Due to the Kinect V2 sensor latency, the application of a uniform temporal alignment is not adequate to compare the signals. On that basis, the purpose of this study was to explore the abilities of the dynamic time warping (DTW) algorithm to compensate for sensor latency (3 samples or 90 ms) and develop a proper accuracy estimation. During the experimental stage, six iterations were performed using the a dual Kinect V2 system. The walking tests were developed at a self-selected speed. The sensor accuracy for Euclidean matching was consistent with that reported in previous studies. After latency compensation, the sensor accuracy demonstrated considerably lower error rates for all joints. This demonstrated that the accuracy was underestimated due to the use of inappropriate comparison techniques. On the contrary, DTW is a potential method that compensates for the sensor latency, and works sufficiently in comparison with certified systems.

Highlights

  • Despite the fact the Kinect V2 sensor is no longer manufactured, Kinect V2 devices keep working.There are hundreds of users around the world, many of them using the sensor for research in the field of biomechanics

  • Since the global time scaling used in previous validations of Kinect V2 sensor is not adequate to solve this problem, the purpose of this study was to explore the abilities of the dynamic time warping (DTW) algorithm to compensate for sensor latency and develop a proper accuracy estimation

  • The Euclidean matching, which is the common procedure applied in earlier validations of Kinect sensor, was compared with the DTW matching

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Summary

Introduction

Despite the fact the Kinect V2 sensor is no longer manufactured, Kinect V2 devices keep working.There are hundreds of users around the world, many of them using the sensor for research in the field of biomechanics. Despite the fact the Kinect V2 sensor is no longer manufactured, Kinect V2 devices keep working. Microsoft has stopped supporting the adapter, which may affect the development of commercial applications such as motion gaming, but the generic depth detection solutions will prevail, and the Kinect V2 sensor will continue to be used for research purposes. The use of the Kinect V2 sensor in human gait analysis has increased in the last five years. The Kinect V2 sensor has been extensively used for kinematic gait analysis [1] and the identification of normal and pathological gait [2]. Some important studies have analyzed and validated the application of the Kinect V2 sensor for kinematic gait analysis [3,4,5]. There is something interesting in these studies

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