Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition-Reference-Cited by-同舟云学术

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
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Author:

Ahuja Karan¹,Jiang Yue²,Goel Mayank³,Harrison Chris¹

Affiliation:

1. Human-Computer Interaction Institute Carnegie Mellon University, United States

2. Max Planck Institute for Informatics, Germany

3. School of Computer Science Carnegie Mellon University, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445138

Reference109 articles.

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3. Human activity recognition using thigh angle derived from single thigh mounted IMU data

4. Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Paul Natsev George Toderici Balakrishnan Varadarajan and Sudheendra Vijayanarasimhan. 2016. Youtube-8m: A large-scale video classification benchmark. arXiv preprint arXiv:1609.08675(2016). Sami Abu-El-Haija Nisarg Kothari Joonseok Lee Paul Natsev George Toderici Balakrishnan Varadarajan and Sudheendra Vijayanarasimhan. 2016. Youtube-8m: A large-scale video classification benchmark. arXiv preprint arXiv:1609.08675(2016).

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