Arm movement speed assessment via a Kinect camera: A preliminary study in healthy subjects

作者：Elgendi Mohamed^*; Picon Flavien; Magnenat Thalmann Nadia; Abbott Derek

来源：BioMedical Engineering Online, 2014, 13(1): 88.

DOI：10.1186/1475-925X-13-88

• Hand speed analysis
• Kinect
• Physiological movement

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 handmovements 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.

• 出版日期2014-6-27