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arXiv:2301.00250cs.CV

DensePose From WiFi

Jiaqi Geng, Dong Huang, Fernando De la Torre

Abstract

Advances in computer vision and machine learning techniques have led to significant development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars. However, human pose estimation from images is adversely affected by occlusion and lighting, which are common in many scenarios of interest. Radar and LiDAR technologies, on the other hand, need specialized hardware that is expensive and power-intensive. Furthermore, placing these sensors in non-public areas raises significant privacy concerns. To address these limitations, recent research has explored the use of WiFi antennas (1D sensors) for body segmentation and key-point body detection. This paper further expands on the use of the WiFi signal in combination with deep learning architectures, commonly used in computer vision, to estimate dense human pose correspondence. We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input. This paves the way for low-cost, broadly accessible, and privacy-preserving algorithms for human sensing.

arXiv comments
13 pages, 10 figures
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition

On Hacker News

Linked by 16 identifiable commenters in 16 comments across 13 threads, from Jan 2023 to Feb 2026. Found in 3 HN submissions from Jan 2023 to Jan 2023. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments13 threads

  1. WiFi could become an invisible mass surveillance system 1 comment
  2. Wi-fi signal tracks heartbeat without wearables 1 comment
  3. BPS is a GPS alternative that nobody's heard of 1 comment

    • Thanks to the beamforming that's central to modern Wi-Fi and 5G cellular standards they can even see through your walls using the backscattered energy of the steered beam, like an airport security scanner for the entire planet: https://arxiv.org/pdf/2301.00250.pdf…

      LammyView on HNParent context

  4. Overengineering a way to know if people are in my university's CS lab 1 comment

    • I saw "over-engineering" in the title and half expected to see Wi-Fi signals being abused to detect human bodies in the room. https://arxiv.org/abs/2301.00250

      withinrafaelView on HNParent context

  5. Wi-Fi devices set to become object sensors by 2024 via IEEE 802.11bf standard 1 comment

    • It's really interesting that people seem to be getting [0] such good results from wifi imaging while in practice (and my personal experience at least) bluetooth which operates in the same band can't even muster a reliable 2D angle of arrival with a 6 inch array of 5 antennas. I…

      moffkalastView on HNParent context

  6. Your WiFi Can See You 1 comment

    • I'm a little skeptical of the paper in question: https://arxiv.org/pdf/2301.00250.pdf If you look at the training and test set info: > We report results on two protocols: (1) Same layout: We train on the training set in all 16 spatial layouts, and test on remaining frames.…

      newhousebView on HNParent context

  7. WiFi can read through walls 1 comment

    • Related: 2013 - gesture recognition from Wi-Fi https://wisee.cs.washington.edu/ 2013 - see through walls with Wi-Fi https://people.csail.mit.edu/fadel/papers/wivi-paper.pdf 2023 - dense pose estimation from Wi-Fi https://arxiv.org/abs/2301.00250

      nighthawk454View on HNParent context

  8. French Assembly to allow remote police surveillance via phone cameras and mics 1 comment
  9. New study shows how to use WiFi signals like sonar to spy on people 1 comment
  10. Ask HN: What will be the first AI “incident”? 1 comment

    • - FluLM : Using language model to generate, synthesize and evaluate new symptoms and variants in various flu strains. (Something like "Learning the language of viral evolution and escape" https://pubmed.ncbi.nlm.nih.gov/33446556/ ) - PornDiffusion : A tailored to your need…

      GistNoesisView on HNParent context

  11. WiFi Routers Used to Produce 3D Images of Humans 4 comments

    • Seems like they've remove the PDF from the article. You can get the original PDF from Arxiv : https://arxiv.org/abs/2301.00250

      tecleandorView on HNParent context

    • Try https://arxiv.org/pdf/2301.00250.pdf -- looks like they removed the original PDF from the linked article.

      thedrexsterView on HNParent context

    • https://arxiv.org/abs/2301.00250

      avaldez_View on HNParent context

    • Good shout. I checked the actual paper (here: https://arxiv.org/pdf/2301.00250.pdf, link in the article is broken), and seems you would need multiple routers: > [...] three WiFi transmitters and three aligned receivers [...]. It should be noted that many WiFi routers, such as…

      d1sxeyesView on HNParent context

  12. Using deep neural networks to improve virtual images of people using WiFi signal 1 comment
  13. Accurate Pose Estimation via WiFi Signals 1 comment

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