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Updated: Apr 27, 2026
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
Published on: February 12, 2018
Arm movement speed assessment via a Kinect camera: a preliminary study in healthy subjects
Mohamed Elgendi1, Flavien Picon, Nadia Magnenat-Thalmann
1Department of Computing Science, University of Alberta, 2-32 Athabasca Hall, T6G 2E1 Edmonton, Canada. moe.elgendi@gmail.com.
Background:
Many clinical studies have shown that the arm movement of patients with neurological injury is often slow. In this paper, the speed of arm movements in healthy subjects is evaluated in order to validate the efficacy of using a Kinect camera for automated analysis. The consideration of arm movement appears trivial at first glance, but in reality it is a very complex neural and biomechanical process that can potentially be used for detecting neurological disorders.
Methods:
We recorded hand movements using a Kinect camera from 27 healthy subjects (21 males) with a mean age of 29 years undergoing three different arbitrary arm movement speeds: fast, medium, and slow.
Results:
Our developed algorithm is able to classify the three arbitrary speed classes with an overall error of 5.43% for interclass speed classification and 0.49% for intraclass classification.
Conclusions:
This is the first step toward laying the foundation for future studies that investigate abnormality in arm movement via use of a Kinect camera.
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