EAT -
Author:
Affiliation:
1. Technische Universität München, München, Germany
2. Universität Augsburg, Augsburg, Germany
3. Imperial College London, London, United Kingdom
Funder
ERC Starting Grant
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3242969.3243681
Reference31 articles.
1. Non-invasive monitoring of eating behavior using spectrogram analysis in a wearable necklace
2. Oliver Amft. 2008. Automatic Dietary Monitoring Using On-Body Sensors: Detection of Eating and Drinking Behaviour in Healthy Individuals. Ph.D. Dissertation. Dissertation ETH Zurich. Oliver Amft. 2008. Automatic Dietary Monitoring Using On-Body Sensors: Detection of Eating and Drinking Behaviour in Healthy Individuals. Ph.D. Dissertation. Dissertation ETH Zurich.
3. T. Baltrušaitis P. Robinson and L.-P. Morency. 2016. OpenFace: an Open Source Facial Behavior Analysis Toolkit Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe NV/CA 1--10. T. Baltrušaitis P. Robinson and L.-P. Morency. 2016. OpenFace: an Open Source Facial Behavior Analysis Toolkit Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV). Lake Tahoe NV/CA 1--10.
4. Recent developments in openSMILE, the munich open-source multimedia feature extractor
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1. Rule-based systems to automatically count bites from meal videos;Frontiers in Nutrition;2024-05-17
2. Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2023-10-09
3. Capturing Eating Behavior from Video Analysis: A Systematic Review;Nutrients;2022-11-16
4. Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech;Computer Speech & Language;2021-07
5. Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons’ Call Detection;Interspeech 2020;2020-10-25
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