Modular Bayesian Networks with Low-Power Wearable Sensors for Recognizing Eating Activities
Recently, recognizing a user’s daily activity using a smartphone and wearable sensors has become a popular issue. However, in contrast with the ideal definition of an experiment, there could be numerous complex activities in real life with respect to its various background and contexts: time, space,...
Main Authors: | Kee-Hoon Kim, Sung-Bae Cho |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/12/2877 |
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