EmotionTracker: A Mobile Real-time Facial Expression Tracking System with the Assistant of Public AI-as-a-Service
Author:
Affiliation:
1. Xi'an Jiaotong University, Xi'an, China
2. Baidu Inc., Beijing, China
Funder
National Key Research and Development Program of China
the NSFC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394171.3414447
Reference8 articles.
1. 2020. liuxunchenglxc/EmotionTracker. https://github.com/liuxunchenglxc/EmotionTracker. Accessed May. 29 2020. 2020. liuxunchenglxc/EmotionTracker. https://github.com/liuxunchenglxc/EmotionTracker. Accessed May. 29 2020.
2. Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications
3. The case of face recognition on mobile devices
4. Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring
5. AFFDEX SDK
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