Video-based activity and movement pattern analysis in overnight sleep studies

Author

Liao, Wen-Hung ; Yang, Chien-Ming

Author_Institution

Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

We present a non-contact monitoring system to measure the quality of sleep using near-infrared video in this paper. We envision a smart home environment in which a processing module can be installed in the bedroom to record and monitor sleep in a noninvasive manner. We describe the procedure adopted to infer motion information and discuss the method for estimating wake/sleep status from the acquired video. Performance of the proposed system was evaluated through comparison with simultaneous recordings of actigraph and polysomnography (PSG) data.

Keywords

image motion analysis; infrared imaging; medical computing; medical image processing; neurophysiology; patient monitoring; sleep; video signal processing; actigraph; motion information; movement pattern analysis; near-infrared video; noncontact monitoring system; overnight sleep; polysomnography; sleep monitoring; sleep quality; smart home environment; video-based activity; wake/sleep status estimation; Cameras; Costs; Image sequences; Laboratories; Monitoring; Pattern analysis; Performance analysis; Sleep apnea; Video recording; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761635

Filename

4761635