Kun Qian
ABSTRACT
Recent advances in wireless sensing show promise for ubiquitous human activity recognition interface with Wi-Fi. Despite its attractiveness, multiple challenges still exist in bottom-up translation from CSI values to human activities, making existing approaches unready for practical use. To this end, we recognize three key challenges, non-coherent CSI measurements, context-dependent features and diverse human activities. Our preliminary results demonstrate the feasibility of CSI cleaning and passive human tracking. Based on the initial efforts, we propose the plan for further research.
- X. Li, D. Zhang, Q. Lv, J. Xiong, S. Li, Y. Zhang, and H. Mei. Indotrack: Device-free indoor human tracking with commodity wi-fi. Procs. of ACM IMWUT, 2017. Google Scholar
Digital Library
- K. Qian, C. Wu, Z. Yang, Y. Liu, F. He, and T. Xing. Enabling contactless detection of moving humans with dynamic speeds using csi. ACM Transactions on Embedded Computing Systems (TECS), 17(2):52, 2018. Google ScholarDigital Library
- K. Qian, C. Wu, Z. Yang, Y. Liu, and K. Jamieson. Widar: Decimeter-level passive tracking via velocity monitoring with commodity wi-fi. In Procs. of ACM MobiHoc. 2017. Google ScholarDigital Library
- K. Qian, C. Wu, Y. Zhang, G. Zhang, Z. Yang, and Y. Liu. Widar2.0: Passive human tracking with a single wi-fi link. In Procs. of ACM MobiSys, 2018.Google ScholarDigital Library
- K. Qian, C. Wu, Z. Zhou, Y. Zheng, Z. Yang, and Y. Liu. Inferring motion direction using commodity wi-fi for interactive exergames. In Procs. of ACM CHI, 2017. Google ScholarDigital Library
- W. Wang, A. X. Liu, M. Shahzad, K. Ling, and S. Lu. Understanding and modeling of wifi signal based human activity recognition. In Procs. of ACM MobiCom, 2015. Google ScholarDigital Library
- S. Yao, S. Hu, Y. Zhao, A. Zhang, and T. Abdelzaher. Deepsense: A unified deep learning framework for time-series mobile sensing data processing. In Procs. of ACM WWW, 2017. Google ScholarDigital Library
- M. Zhao, S. Yue, D. Katabi, T. S. Jaakkola, and M. T. Bianchi. Learning sleep stages from radio signals: A conditional adversarial architecture. In Procs. of ACM ICML, 2017.Google Scholar
Index Terms
- Passive Human Sensing with COTS Wi-Fi
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