Non-Parametric Bayesian Human Motion Recognition Using a Single MEMS Tri-Axial Accelerometer

Non-Parametric Bayesian Human Motion Recognition Using a Single MEMS Tri-Axial Accelerometer

In this paper, we propose a non-parametric clustering method to recognize the number of human motions using features which are obtained from a single microelectromechanical system (MEMS) accelerometer. Since the number of human motions under consideration is not known a priori and because of the uns...

Full description

Bibliographic Details
Main Authors: M. Ejaz Ahmed, Ju Bin Song
Format: Article
Language:English
Published: MDPI AG 2012-09-01
Series:Sensors
Subjects:
MEMS application
human motion recognition
non-parametric Bayesian inference
infinite Gaussian mixture model
Gibbs sampler
Online Access:http://www.mdpi.com/1424-8220/12/10/13185

Internet

http://www.mdpi.com/1424-8220/12/10/13185

Similar Items