A Hybrid Model Using Hidden Markov Chain and Logic Model for Daily Living Activity Recognition
We detail the solution to the UCAmI Cup Challenge to recognizing on going activities at home from sensor measurements. We use binary sensors and proximity sensor measurements for the recognition. We use an hybrid strategy, combining a probabilistic model and a definition-based model. The former cons...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-10-01
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Series: | Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3900/2/19/1266 |