Recognition and incremental learning of scenario-oriented human behavior patterns by two threshold models
HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction, Page: 189-190
2011
- 2Citations
- 36Captures
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Conference Paper Description
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.
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