Conference Proceeding

Real-time tracking of flexion angle by using wearable accelerometer sensors

Inst. for Infocomm Res., Singapore
07/2008; DOI:10.1109/ISSMDBS.2008.4575034 pp.125 - 128 In proceeding of: Medical Devices and Biosensors, 2008. ISSS-MDBS 2008. 5th International Summer School and Symposium on
Source: IEEE Xplore

ABSTRACT This paper presents a new algorithm for real time tracking the flexion angle from wearable accelerometer sensor data using wireless body sensor network (BSN). The proposed algorithm uses dynamic filter for tracking the flexion angles of which the human body dynamics is described by its system model. In this work, the Extended Kalman Filtering is used to demonstrate the superiority of this approach. Results from a thigh tracking experiment show that the flexion angle estimated closely followed that of the video data.

0 0
 · 
0 Bookmarks
 · 
19 Views
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.

Keywords

dynamic filter
 
human body dynamics
 
new algorithm
 
proposed algorithm
 
real time
 
system model
 
video data
 
wearable accelerometer sensor data
 
wireless body sensor network
 

Wee-Soon Yeoh