A millimeter-wave wireless sensing approach for at-home exercise recognition-Reference-Cited by-同舟云学术

A millimeter-wave wireless sensing approach for at-home exercise recognition

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
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Author:

Sitar Edward M¹,Saadat Moh Sabbir¹,Sur Sanjib¹

Affiliation:

1. University of South Carolina

Funder

National Science Foundation CAREER

University of South Carolina Magellan Scholar Program

MRI

CNS

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3498361.3538781

Reference5 articles.

1. A. Adhikari , , " MilliPose: Facilitating Full Body Silhouette Imaging from Millimeter-Wave Device," in ACM UbiComp , 2021 . A. Adhikari, et al., "MilliPose: Facilitating Full Body Silhouette Imaging from Millimeter-Wave Device," in ACM UbiComp, 2021.

2. A. Sengupta , , "mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs," IEEE Sensors Journal, vol. 20 , no. 17 , 2020. A. Sengupta, et al., "mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs," IEEE Sensors Journal, vol. 20, no. 17, 2020.

3. P. Zhao , , " mID: Tracking and Identifying People with Millimeter Wave Radar," in IEEE DCOSS , 2019 . P. Zhao, et al., "mID: Tracking and Identifying People with Millimeter Wave Radar," in IEEE DCOSS, 2019.

4. RadHAR

5. FitAssist

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