Referenced Items are not available for this document.
Two HMM-based threshold models are suggested for recognition and incremental learning of scenario-oriented human behavior patterns. One is the expected behavior threshold model to discriminate if a monitored behavior pattern is normal or not. The other model is the registered behavior threshold model to detect whether such behavior pattern is already learned. If a behavior patten is detected as a new one, an HMM is generated to represent the pattern, and then the HMM is used to update behavior clusters by hierarchical clustering process.
Published in:
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Date of Conference: 8-11 March 2011
- Page(s):
- 189 - 190
- ISSN :
- 2167-2121
- E-ISBN :
- 978-1-4503-0561-7
- Print ISBN:
- 978-1-4673-4393-0
- INSPEC Accession Number:
- 12963973
- Conference Location :
- Lausanne
- Product Type:
- Conference Publications
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