P1.3.12 Camera Sensor Based Human Gait Analysis for Ubiquitous Healthcare Monitoring System
- Event
- 14th International Meeting on Chemical Sensors - IMCS 2012
2012-05-20 - 2012-05-23
Nürnberg/Nuremberg, Germany - Chapter
- P1.3 Sensors Based on Optical Techniques
- Author(s)
- Y. Lee - Electronic Information Communication Research Center (South Korea), W. Chung - Department of Electronic Engineering, Pukyong National University (South Korea)
- Pages
- 963 - 966
- DOI
- 10.5162/IMCS2012/P1.3.12
- ISBN
- 978-3-9813484-2-2
- Price
- free
Abstract
A novel camera sensor based algorithm for automated human gait recognition using computer vision technology is presented. We develop a real-time camera sensor based ubiquitous healthcare monitoring system for human gait recognition that employs gait feature information such as the stride length variations, gait cycle time and the angle variations from the detected subject's center point and to end point of feet. Feature extraction in videos is an essential topic in object detection and recognition, as it helps the algorithm to improve the system performance for recognition rates. Experiments performed with video streams show efficient and reliable gait analysis with our approach.