Imperial College London
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DrBennyLo

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

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Contact

 

+44 (0)20 7594 0806benny.lo Website

 
 
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Location

 

Bessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Lei:2021:10.1007/978-3-030-68821-9_45,
author = {Lei, J and Qiu, J and Lo, FP-W and Lo, B},
doi = {10.1007/978-3-030-68821-9_45},
pages = {549--557},
publisher = {Springer International Publishing},
title = {Assessing individual dietary intake in food sharing scenarios with food and human pose detection},
url = {http://dx.doi.org/10.1007/978-3-030-68821-9_45},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Food sharing and communal eating are very common in some countries. To assess individual dietary intake in food sharing scenarios, this work proposes a vision-based approach to first capturing the food sharing scenario with a 360-degree camera, and then using a neural network to infer different eating states of each individual based on their body pose and relative positions to the dishes. The number of bites each individual has taken of each dish is then deduced by analyzing the inferred eating states. A new dataset with 14 panoramic food sharing videos was constructed to validate our approach. The results show that our approach is able to reliably predict different eating states as well as individual’s bite count with respect to each dish in food sharing scenarios.
AU  - Lei,J
AU  - Qiu,J
AU  - Lo,FP-W
AU  - Lo,B
DO  - 10.1007/978-3-030-68821-9_45
EP  - 557
PB  - Springer International Publishing
PY  - 2021///
SN  - 0302-9743
SP  - 549
TI  - Assessing individual dietary intake in food sharing scenarios with food and human pose detection
UR  - http://dx.doi.org/10.1007/978-3-030-68821-9_45
UR  - https://link.springer.com/book/10.1007/978-3-030-68821-9
UR  - http://hdl.handle.net/10044/1/88611
ER  -
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