Tag: Children's Eating Behaviors

New Auracle Dissertation by Shengjie Bi

PhD dissertation

We are proud to announce Dr. Shengjie Bi’s successful dissertation defense and to share his doctoral thesis. Bi’s dissertation focuses on a generalizable approach to sensing eating-related behavior. Bi describes the creation of Auracle, a wearable earpiece that can automatically detect eating episodes, its adaptation to measure children’s eating behavior, and improvements in eating-activity detection algorithms. Bi also describes the development of a computer-vision approach for eating detection in free-living scenarios.

To learn more, check out Bi’s dissertation below.

Bi, Shengjie, “DETECTION OF HEALTH-RELATED BEHAVIOURS USING HEAD-MOUNTED DEVICES” (2021). Dartmouth College Ph.D Dissertations. 75. 
https://digitalcommons.dartmouth.edu/dissertations/75

Measuring children’s eating behavior with Auracle

The Auracle device previously enabled us to automatically and unobtrusively recognize eating behavior in adults. The Auracle team recognized the need for adapting such technology to measure children’s eating behavior and to bolster research efforts focusing on adolescents’ eating behaviors.

We identified and addressed several challenges pertaining to monitoring eating behavior in children, paying particular attention to device fit and comfort. We also improved the accuracy and robustness of the eating-activity detection algorithms.

Check out the 4-minute video below to see graduate student Shengjie Bi’s presentation of our research at IEEE’s International Conference on Healthcare Informatics (ICHI). To read the paper, check out the link at the bottom of this post.

#NSFStories

Shengjie Bi presents Measuring children’s eating behavior with a wearable device at ICHI.

Shengjie Bi, Yiyang Lu, Nicole Tobias, Ella Ryan, Travis Masterson, Sougata Sen, Ryan Halter, Jacob Sorber, Diane Gilbert-Diamond, and David Kotz. Measuring children’s eating behavior with a wearable device. Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI). IEEE, December 2020. ©Copyright IEEE. DOI: https://doi.org/10.1109/ICHI48887.2020.9374304