This paper is in the following e-collection/theme issue:

New Methods (964) Machine Learning (1504) Wearable Devices and Sensors (903) Artificial Intelligence (1427) mHealth for Data Collection and Research (982)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27934, first published .
Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study

Authors of this article:

Bo Zhang1 Author Orcid Image ;   Kaiwen Deng2 Author Orcid Image ;   Jie Shen1 Author Orcid Image ;   Lingrui Cai3 Author Orcid Image ;   Bohdana Ratitch1 Author Orcid Image ;   Haoda Fu1 Author Orcid Image ;   Yuanfang Guan2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Bo Zhang   1 , DPhil ;   Kaiwen Deng   2 , MSc ;   Jie Shen   1 , DPhil ;   Lingrui Cai   3 , MSc ;   Bohdana Ratitch   1 , DPhil ;   Haoda Fu   1 , DPhil ;   Yuanfang Guan   2 , DPhil

1 Eli Lilly and Company, Indianapolis, IN, United States

2 University of Michigan, Ann Arbor, MI, United States

3 Ann Arbor Algorithms, Ann Arbor, MI, United States

Corresponding Author: