Date of Publication:2022-10-10

Journal:大连理工大学学报

Issue:1

Page Number:121-126

ISSN:1000-8608

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.

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