Enabling Eating Detection in a Free-living Environment: Integrative Engineering and Machine Learning Study.
| Author | |
|---|---|
| Abstract |
:
Monitoring eating is central to the care of many conditions such as diabetes, eating disorders, heart diseases, and dementia. However, automatic tracking of eating in a free-living environment remains a challenge because of the lack of a mature system and large-scale, reliable training set. |
| Year of Publication |
:
2022
|
| Journal |
:
Journal of medical Internet research
|
| Volume |
:
24
|
| Issue |
:
3
|
| Number of Pages |
:
e27934
|
| Date Published |
:
2022
|
| ISSN Number |
:
1439-4456
|
| URL |
:
https://www.jmir.org/2022/3/e27934/
|
| DOI |
:
10.2196/27934
|
| Short Title |
:
J Med Internet Res
|
| Download citation |
