title: Arm movement speed assessment via a Kinect camera: a preliminary study in healthy subjects.
abstract: 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.
authors: Department of Computing Science, University of Alberta, 2-32 Athabasca Hall, T6G 2E1 Edmonton, Canada. moe.elgendi@gmail.com.
authors: Mohamed
authors: M
authors: Elgendi
authors: Flavien
authors: F
authors: Picon
authors: Nadia
authors: N
authors: Magnenat-Thalmann
authors: Derek
authors: D
authors: Abbott
mesh_terms: D000328:Adult; D000465:Algorithms; D001132:Arm / Q000502:physiology*; D001696:Biomechanical Phenomena; D005260:Female; D064368:Healthy Volunteers; D006801:Humans; D008297:Male; D009068:Movement