Pattern Recognition of Human Postures Using the Data Density Functional Method

Pattern Recognition of Human Postures Using the Data Density Functional Method

In this paper, we propose a new approach to recognize the motional patterns of human postures by introducing the data density functional method. Under the framework of the proposed method, sensed time signals will be mapped into specific physical spaces. The most probable cluster number within the s...

Full description

Bibliographic Details
Main Authors: Shin-Jhe Huang, Chi-Jui Wu, Chien-Chang Chen
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
cluster number
cluster boundary
data density functional
posture recognition
tri-axial gravitational sensor
Online Access:http://www.mdpi.com/2076-3417/8/9/1615

Internet

http://www.mdpi.com/2076-3417/8/9/1615

Similar Items