| Title: |
Research on human daily activity recognition method based on BSN and CHMMs. (English) |
| Authors: |
Ming JIANG, Zhe-long WANG, Xiao-bo LIU, Hong-yu ZHAO, Yao-hua HU |
| Source: |
Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao; 2013, Vol. 53 Issue 1, p121-126, 6p |
| Subject Terms: |
HUMAN activity recognition, PATTERN recognition systems, DETECTORS, MARKOV processes, STOCHASTIC processes, MARKOV operators |
| Abstract: |
Body sensor networks (BSN) may offer continuous monitoring of human activities in a range of healthcare areas, including caring the elderly, helping chronic patients, and monitoring the recovery of post-operative patients. A monitoring platform based on BSN is established for recognizing 9 human daily activities using acceleration signal. A activity recognition method based on coupled hidden Markov models (CHMMs) is proposed for multi-sensor data fusion. The experimental results show that compared with previous methods, the proposed method can achieve satisfactory performance for human daily activity recognition. [ABSTRACT FROM AUTHOR] |
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| Database: |
Supplemental Index |
