DocumentCode
3068853
Title
Gesture recognition for interactive exercise programs
Author
Perkins, Jedediah ; Pavel, Misha ; Jimison, Holly B. ; Scott, Susan
Author_Institution
Department of Biomedical Engineering, Oregon Health & Science University, Portland, 97239, USA
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
1915
Lastpage
1917
Abstract
This paper describes a gesture recognition system which can recognize seated exercises that will be incorporated into an in-home automated interactive exercise program. Hidden Markov Models (HMMs) are used as a motion classifier, with motion features extracted from the grayscale images and the location of the subject´s head estimated at initialization. An overall recognition rate of 94.1% is achieved.
Keywords
Biomedical engineering; Feature extraction; Gray-scale; Head; Hidden Markov models; Image databases; Image recognition; Image segmentation; Pixel; Skin; Biomedical Engineering; Exercise; Exercise Therapy; Gestures; Humans; Image Interpretation, Computer-Assisted; Markov Chains; Movement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649561
Filename
4649561
Link To Document