Paper in ACM IUI15: “Inferring Meal Eating Activities in Real-World Settings from Ambient Sounds: A Feasibility Study”
Citation
- E. Thomaz, C. Zhang, I. Essa, and G. D. Abowd (2015), “Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study,” in ACM Conference on Intelligence User Interfaces (IUI), 2015. (Best Short Paper Award) [PDF] [DOI] [BIBTEX]
@InProceedings{ 2015-Thomaz-IMEARWSFASFS, author = {Edison Thomaz and Cheng Zhang and Irfan Essa and Gregory D. Abowd}, awards = {(Best Short Paper Award)}, booktitle = {{ACM Conference on Intelligence User Interfaces (IUI)}}, doi = {10.1145/2678025.2701405}, month = {May}, pdf = {http://www.cc.gatech.edu/~irfan/p/2015-Thomaz-IMEARWSFASFS.pdf}, title = {Inferring Meal Eating Activities in Real World Settings from Ambient Sounds: A Feasibility Study}, year = {2015} }
Abstract
Dietary self-monitoring has been shown to be an effective method for weight-loss, but it remains an onerous task despite recent advances in food journaling systems. Semi-automated food journaling can reduce the effort of logging, but often requires that eating activities be detected automatically. In this work we describe results from a feasibility study conducted in-the-wild where eating activities were inferred from ambient sounds captured with a wrist-mounted device; twenty participants wore the device during one day for an average of 5 hours while performing normal everyday activities. Our system was able to identify meal eating with an F-score of 79.8% in a person-dependent evaluation, and with 86.6% accuracy in a person-independent evaluation. Our approach is intended to be practical, leveraging off-the-shelf devices with audio sensing capabilities in contrast to systems for automated dietary assessment based on specialized sensors.
- Awarded the Best Short Paper Award
- Presented at the 20th annual meeting of the ACM Intelligent User Interfaces (ACM IUI 2015) held in Atlanta, GA, March 29 – April 1, 2015.
- For more details see Edison Thomaz’s Webpage