Referenced Items are not available for this document.
In this paper, we address natural human-robot interaction (HRI) in a smart assisted living (SAIL) system for the elderly and the disabled. Two common HRI problems are studied: hand gesture recognition and daily activity recognition. For hand gesture recognition, we implemented a neural network for gesture spotting and a hierarchical hidden Markov model for context-based recognition. For daily activity recognition, a multisensor fusion scheme is developed to process motion data collected from the foot and the waist of a human subject. Experiments using a prototype wearable sensor system show the effectiveness and accuracy of our algorithms.
Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
(Volume:41
,
Issue:
3
)
Date of Publication: May 2011
- Page(s):
- 569 - 573
- ISSN :
- 1083-4427
- INSPEC Accession Number:
- 11944411
- Digital Object Identifier :
- 10.1109/TSMCA.2010.2093883
- Product Type:
- Journals & Magazines
- Date of Publication :
- 10 January 2011
- Date of Current Version :
- 15 April 2011
- Issue Date :
- May 2011
- Sponsored by :
- IEEE Systems, Man, and Cybernetics Society
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