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Human Sensing Using Visible Light Communication
Abstract
We present LiSense, the first-of-its-kind system that enables both data communication and fine-grained, real-time human skeleton reconstruction using Visible Light Communication (VLC). LiSense uses shadows created by the human body from blocked light and reconstructs 3D human skeleton postures in real time. We overcome two key challenges to realize shadow-based human sensing. First, multiple lights on the ceiling lead to diminished and complex shadow patterns on the floor. We design light beacons enabled by VLC to separate light rays from different light sources and recover the shadow pattern cast by each individual light. Second, we design an efficient inference algorithm to reconstruct user postures using 2D shadow information with a limited resolution collected by photodiodes embedded in the floor. We build a 3 m x 3 m LiSense testbed using off-the-shelf LEDs and photodiodes. Experiments show that LiSense reconstructs the 3D user skeleton at 60 Hz in real time with 10 degrees mean angular error for five body joints.
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Cited by
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
Yao, S., Hu, S., Zhao, Y., Zhang, A., & Abdelzaher, T. (2017) · Proceedings of the 26th International Conference on World Wide Web · doi:10.1145/3038912.3052577 · Cited by 667
Toward immersive communications in 6G
Shen, X. (., Gao, J., Li, M., Zhou, C., Hu, S., He, M., & Zhuang, W. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.1068478 · Cited by 124
SmartVLC: When Smart Lighting Meets VLC
Wu, H., Wang, Q., Xiong, J., & Zuniga, M. (2017) · Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies · doi:10.1145/3143361.3149824 · Cited by 18
Metadata
- Authors
- Li, T., An, C., Tian, Z., Campbell, A. T., & Zhou, X.
- Venue
- Proceedings of the 21st Annual International Conference on Mobile Computing and Networking
- Publisher
- ACM
- Published
- 2015-09-07
- Pages
- 331-344
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2050304483
- Cited by
- 240
- References
- 0
- FWCI
- 34.36
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Li, T., An, C., Tian, Z., Campbell, A. T., & Zhou, X. (2015). Human Sensing Using Visible Light Communication. Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. https://doi.org/10.1145/2789168.2790110
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