Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU-Reference-Cited by-同舟云学术

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Evaluation Metrics for Food Intake Activity Recognition Using Segment-Wise IoU

Published:2024-06-26 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Wang Chunzhuo¹,Kumar T. Sunil²,De Raedt Walter³,Camps Guido⁴,Hallez Hans⁵,Vanrumste Bart¹

Affiliation:

1. ESAT-STADIUS KU Leuven,e-Media Research Lab,Leuven,Belgium

2. Mathematics and Science University of Gävle,Department of Electrical Engineering,Gävle,Sweden

3. IMEC,Life Science Department,Leuven,Belgium

4. Wageningen University and Research,Department of Agrotechnology and Food Sciences,Wageningen,Netherlands

5. KU Leuven,Department of Computer Science,Leuven,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596554/10596704/10596709.pdf?arnumber=10596709

Reference19 articles.

1. A Data Driven End-to-End Approach for In-the-Wild Monitoring of Eating Behavior Using Smartwatches

2. “Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images

3. Learning Deep Representations for Video-Based Intake Gesture Detection

4. Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention

5. Eating speed measurement using wrist-worn IMU sensors in free-living environments;Wang,2023

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