EmoSparkle: Tangible Prototype to Convey Visual Expressions for Visually Impaired Individuals in Real-time Conversations
Author:
Affiliation:
1. The Future Laboratory, Tsinghua University, China and Academy of Arts & Design, Tsinghua University, China
2. Department of Computer Science and Technology, Tsinghua University, China
3. The Future Laboratory, Tsinghua University, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3565698.3565768
Reference38 articles.
1. Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis
2. Using Thermal Stimuli to Enhance Photo-Sharing in Social Media
3. Octavio Arriaga Matias Valdenegro-Toro and Paul Plöger. 2017. Real-time convolutional neural networks for emotion and gender classification. arXiv preprint arXiv:1710.07557(2017).
4. Training deep networks for facial expression recognition with crowd-sourced label distribution
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