Extraction of Gait Features Using a Wireless Body Sensor Network (BSN)

Author

Liand Dong ; Wu, Jiankang ; Bao, Xiaoming ; Xiao, Wendong

Author_Institution

Inst. of Infocomm Res.

fYear

2006

fDate

38869

Firstpage

987

Lastpage

991

Abstract

A body sensor network (BSN) is presented in this paper, which targets at integrating physical activity signal and physiologically related features to provide detailed body context information. Issues concerning the structure of the proposed BSN, functions and interactions between its components are stressed. The BSN has been applied to conduct gait analysis in this study. A gait tracker based on Kalman filter is proposed to estimate hip angle and swing velocity of the lower limb segment using the sensor measurements. Experimental result shows that the movement of the legs during gait cycles is well revealed with the proposed method

Keywords

Kalman filters; feature extraction; gait analysis; image segmentation; medical image processing; physiology; tracking filters; velocity measurement; wireless sensor networks; BSN; Kalman filter; body context information; gait analysis; gait feature extraction; gait tracker; hip angle estimation; lower limb segment; physical activity signal integration; physiology; sensor measurements; swing velocity estimation; wireless body sensor network; Biomedical monitoring; Body sensor networks; Data mining; Databases; Feature extraction; Hip; Network servers; Sensor systems; Wearable sensors; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

ITS Telecommunications Proceedings, 2006 6th International Conference on

Conference_Location

Chengdu

Print_ISBN

0-7803-9587-5

Electronic_ISBN

0-7803-9587-5

Type

conf

DOI

10.1109/ITST.2006.288719

Filename

4068752