research-article

RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar

Authors:

Yanyong ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 8, Issue 3

Article No.: 134, Pages 1 - 31

https://doi.org/10.1145/3678552

Published: 09 September 2024 Publication History

Abstract

In this paper, we aim to study millimeter-wave-based gait recognition in complex indoor environments, focusing on dealing with multipath ghosts and supporting rapid deployment to new environments. We design a ghost detection algorithm based on velocity change patterns. This algorithm relies solely on velocity estimation, requiring no environmental priors or multipath modeling. Hence, it is suitable for single-chip millimeter-wave radar with low angular resolution and can be conveniently deployed in new indoor settings. In addition, we build a gait recognition network based on an attention-based Recurrent Neural Network (RNN) to extract spatiotemporal-velocity features from RD heatmaps.

We have evaluated RDGait in two scenarios: a corridor scenario and a crowded office scenario, with 125 volunteers of different genders and ages ranging from 6 to 63. RDGait achieves a user recognition accuracy exceeding 95% among 125 candidates in both scenarios. We have further deployed RDGait in two additional scenarios using the pretrain-finetune approach. With minimal user registration data, RDGait could achieve satisfactory (> 90%) recognition accuracy in these new environments considering different radar placements, heights, and number of co-existing users.

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Das DMandal SGolande ASen AChakraborty S(2025)mmWave Based User Identification using Gait Signatures2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)10.1109/COMSNETS63942.2025.10885571(1032-1036)Online publication date: 6-Jan-2025
https://doi.org/10.1109/COMSNETS63942.2025.10885571
Hu CMa XHuang XShen YMa D(2024)LR-Auth: Towards Practical Implementation of Implicit User Authentication on EarbudsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997938:4(1-27)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699793
Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678590
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Index Terms

RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar
1. Human-centered computing
  1. Ubiquitous and mobile computing

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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 8, Issue 3

September 2024

1782 pages

EISSN:2474-9567

DOI:10.1145/3695755

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Published: 09 September 2024

Published in IMWUT Volume 8, Issue 3

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Cited By

Das DMandal SGolande ASen AChakraborty S(2025)mmWave Based User Identification using Gait Signatures2025 17th International Conference on COMmunication Systems and NETworks (COMSNETS)10.1109/COMSNETS63942.2025.10885571(1032-1036)Online publication date: 6-Jan-2025
https://doi.org/10.1109/COMSNETS63942.2025.10885571
Hu CMa XHuang XShen YMa D(2024)LR-Auth: Towards Practical Implementation of Implicit User Authentication on EarbudsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997938:4(1-27)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699793
Li BRen YWang YYang J(2024)SpaceBeat: Identity-aware Multi-person Vital Signs Monitoring Using Commodity WiFiProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785908:3(1-23)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678590
Pettys-Baker RClarke MHolschuh BKostakos VKay JHoang T(2024)Functional Now, Wearable Later: Examining the Design Practices of Wearable TechnologistsProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676615(71-81)Online publication date: 5-Oct-2024
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Leng ZJung MHwang SOh SZhang LPlötz TKim KKostakos VKay JHoang T(2024)Emotion Recognition on the Go: Utilizing Wearable IMUs for Personalized Emotion RecognitionCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678452(537-544)Online publication date: 5-Oct-2024
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Fu YZhang YPan HLu YLi XChen LRen JLi XZhang XZhang Y(2024)Pushing the Limits of Acoustic Spatial Perception via Incident Angle EncodingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595838:2(1-28)Online publication date: 15-May-2024
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He CMeng CHe CFan XWang BYan YZhang YGanesan DLane NShi W(2024)See Through Vehicles: Fully Occluded Vehicle Detection with Millimeter Wave RadarProceedings of the 30th Annual International Conference on Mobile Computing and Networking10.1145/3636534.3690658(740-754)Online publication date: 4-Dec-2024
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