A Real-Time Eating Detection System for Capturing Eating Moments and Triggering Ecological Momentary Assessments to Obtain Further Context: System Development and Validation Study.

Mehrab Bin Morshed Samruddhi Shreeram Kulkarni Richard Li Koustuv Saha Leah Galante Roper Lama Nachman Hong Lu Lucia Mirabella Sanjeev Srivastava Munmun De Choudhury Kaya de Barbaro Thomas Ploetz Gregory D Abowd

Published in: JMIR mHealth and uHealth (2020)

The presented eating detection system is the first of its kind to leverage EMAs to capture the eating context, which has strong implications for well-being research. We reflected on the contextual data gathered by our system and discussed how these insights can be used to design individual-specific interventions.

Keyphrases

physical activity
weight loss
loop mediated isothermal amplification
label free
climate change
human health
risk assessment
deep learning
data analysis
artificial intelligence