EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses-Reference-Cited by-同舟云学术

EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

Published:2024-05-11 Issue: Volume: Page:1-24
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Li Ke¹^ORCID,Zhang Ruidong¹^ORCID,Chen Siyuan²^ORCID,Chen Boao²^ORCID,Sakashita Mose¹^ORCID,Guimbretiere Francois¹^ORCID,Zhang Cheng³^ORCID

Affiliation:

1. Information Science, Cornell University, United States

2. Cornell University, United States

3. Information Science, Cornell, United States and Computing and Information Science, Cornell University, United States

Funder

National Science Foundation

National Science Foundation?s Innovation Corps

Cornell University Ignite Program

Publisher

ACM

Link

Reference84 articles.

1. Meta AI. 2022. PyTorch Mobile - Home | PyTorch. Retrieved Aug 19, 2022 from https://pytorch.org/mobile/home/

4. BOGO. 2023. OWR-05049T-38D. Retrieved Sept 13, 2023 from https://www.bogosemi-ca.com/products/B01976428/OWR-05049T-38D.html

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