3D human pose recognition for home monitoring of elderly

Author

Jansen, B. ; Temmermans, F. ; Deklerck, R.

Author_Institution

Vrije Univ. Brussel, Brussels

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

4049

Lastpage

4051

Abstract

A toolbox for the automatic monitoring of elderly in a nursing home or in the natural home environment is proposed. Rather than monitoring vital signs or other biomedical parameters, the toolbox is focussed on the monitoring of activity patterns and changes therein. Activity information is derived from visual information using image processing algorithms. The visual information is acquired using 3D camera technology. Besides a traditional visual image, 3D cameras also provide highly accurate depth information. The 3D position of the subject is derived and serves as the primary information source for the different components in the toolbox.

Keywords

biomedical measurement; biomedical optical imaging; cameras; geriatrics; image classification; image recognition; mechanoception; medical image processing; patient monitoring; vision; 3D camera technology; 3D human pose recognition; automatic elderly person monitoring; daily activity patterns monitoring; home monitoring; image processing algorithms; visual information; Accelerometers; Biomedical monitoring; Cameras; Computerized monitoring; Condition monitoring; Detectors; Humans; Image processing; Medical services; Senior citizens; Adult; Aged; Aged, 80 and over; Female; Humans; Imaging, Three-Dimensional; Male; Pattern Recognition, Automated; Posture; Telemetry;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353222

Filename

4353222