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Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFi

Authors:

Jie YangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 4

Article No.: 176, Pages 1 - 29

https://doi.org/10.1145/3494973

Published: 30 December 2021 Publication History

Abstract

WiFi human sensing has become increasingly attractive in enabling emerging human-computer interaction applications. The corresponding technique has gradually evolved from the classification of multiple activity types to more fine-grained tracking of 3D human poses. However, existing WiFi-based 3D human pose tracking is limited to a set of predefined activities. In this work, we present Winect, a 3D human pose tracking system for free-form activity using commodity WiFi devices. Our system tracks free-form activity by estimating a 3D skeleton pose that consists of a set of joints of the human body. In particular, we combine signal separation and joint movement modeling to achieve free-form activity tracking. Our system first identifies the moving limbs by leveraging the two-dimensional angle of arrival of the signals reflected off the human body and separates the entangled signals for each limb. Then, it tracks each limb and constructs a 3D skeleton of the body by modeling the inherent relationship between the movements of the limb and the corresponding joints. Our evaluation results show that Winect is environment-independent and achieves centimeter-level accuracy for free-form activity tracking under various challenging environments including the none-line-of-sight (NLoS) scenarios.

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Index Terms

Winect: 3D Human Pose Tracking for Free-form Activity Using Commodity WiFi
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 5, Issue 4

Dec 2021

1307 pages

EISSN:2474-9567

DOI:10.1145/3508492

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Published: 30 December 2021

Published in IMWUT Volume 5, Issue 4

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Cited By

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https://dl.acm.org/doi/10.1145/3678590
Scott DBringle MFahad IMorales GZahid ASwaminathan S(2024)NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic CamerasProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785298:3(1-25)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678529
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
Cui MXie BWang QXiong JGanesan DLane NShi W(2024)EVLeSen: In-Vehicle Sensing with EV-Leaked SignalProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3649389(679-693)Online publication date: 29-May-2024
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Zhang XZhang DXie YWu DLi YZhang D(2024)WaffleProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314587:4(1-29)Online publication date: 12-Jan-2024
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Zhang DZhang XXie YZhang FWang XLi YZhang D(2024)LoCalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314367:4(1-27)Online publication date: 12-Jan-2024
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Zeng HLi GLi T(2024)PyroSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314357:4(1-32)Online publication date: 12-Jan-2024
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Chen WHu YSong WLiu YTorralba AMatusik W(2024)CAvatarProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314247:4(1-24)Online publication date: 12-Jan-2024
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Xie BCui MGanesan DXiong J(2024)Wall MattersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314177:4(1-22)Online publication date: 12-Jan-2024
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Ahmad IUllah AChoi W(2024)WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and OpportunitiesIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34115295(3595-3623)Online publication date: 2024
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