Conference item
Face and emotion recognition with neural networks on mobile devices: Practical implementation on different platforms
- Abstract:
-
We propose a novel architecture for face and emotion recognition and discuss modifications for different types of mobile applications. Emotion recognition task is challenging due to the absence of large-scale datasets and non-uniform labelling. We propose easy-to-implement five class classification approach and suggest modifications for large-scale emotion recognition on three different platforms: desktop, mobile and VPU, and compare the resulting speed and performance. We demonstrate that ou...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Host title:
- 2019 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)
- Journal:
- 14th IEEE International Conference on Automatic Face and Gesture Recognition Journal website
- Publication date:
- 2019-07-11
- DOI:
- ISBN:
- 9781728100890
Item Description
- Pubs id:
-
pubs:1038554
- UUID:
-
uuid:38395ff9-be22-40d6-aac5-ef27958c5914
- Local pid:
- pubs:1038554
- Source identifiers:
-
1038554
- Deposit date:
- 2019-08-05
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2019
- Notes:
- © 2019 IEEE. This paper was presented at the 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 14-19 May 2019 Lille, France
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