I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing-Reference-Cited by-同舟云学术

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I sense overeating: Motif-based machine learning framework to detect overeating using wrist-worn sensing

Published:2018-05 Issue: Volume:41 Page:37-47
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Zhang Shibo,Stogin William,Alshurafa Nabil

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference33 articles.

1. The clinical significance of loss of control over eating in overweight adolescents;Goldschmidt;Int. J. Eat. Disord.,2008

2. External cues in the control of food intake in humans: the sensory-normative distinction;Herman;Physiol. Behav.,2008

3. Happy eating: the underestimated role of overeating in a positive mood;Bongers;Appetite,2013

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1. A wearable sensors dataset for stress & boredom associated activity recognition;Data in Brief;2024-06

2. StresSense: Real-Time detection of stress-displaying behaviors;International Journal of Medical Informatics;2024-05

3. Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring;IEEE Transactions on Cybernetics;2024-02

4. An End-to-End Energy-Efficient Approach for Intake Detection With Low Inference Time Using Wrist-Worn Sensor;IEEE Journal of Biomedical and Health Informatics;2023-08

5. EatingTrak;Proceedings of the ACM on Human-Computer Interaction;2022-09-19

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