Device-free and device-bound activity recognition using radio signal strength
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Michael Beigl | Till Riedel | Markus Scholz | Mario Hock | M. Beigl | Markus Scholz | T. Riedel | Mario Hock
[1] Prasant Misra,et al. Characterization of Asymmetry in Low-Power Wireless Links: An Empirical Study , 2011, ICDCN.
[2] Neal Patwari,et al. A Fade-Level Skew-Laplace Signal Strength Model for Device-Free Localization with Wireless Networks , 2012, IEEE Transactions on Mobile Computing.
[3] M. Beigl,et al. Challenges for device-free radio-based activity recognition , 2011 .
[4] J. D. Janssen,et al. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.
[5] K. Woyach,et al. Sensorless Sensing in Wireless Networks: Implementation and Measurements , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.
[6] Desney S. Tan,et al. Humantenna: using the body as an antenna for real-time whole-body interaction , 2012, CHI.
[7] Yusheng Ji,et al. Activity recognition from radio frequency data: Multi-stage recognition and features , 2012, 2012 IEEE Vehicular Technology Conference (VTC Fall).
[8] Stephan Sigg,et al. Situation Awareness Based on Channel Measurements , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).
[9] Yusheng Ji,et al. SenseWaves: Radiowaves for context recognition , 2011 .
[10] Yusheng Ji,et al. Passive detection of situations from ambient FM-radio signals , 2012, UbiComp.
[11] Lionel M. Ni,et al. Dynamic clustering for tracking multiple transceiver-free objects , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.
[12] Ling Bao,et al. Activity Recognition from User-Annotated Acceleration Data , 2004, Pervasive.
[13] Neal Patwari,et al. Spatial Models for Human Motion-Induced Signal Strength Variance on Static Links , 2011, IEEE Transactions on Information Forensics and Security.
[14] William G. Griswold,et al. Mobility Detection Using Everyday GSM Traces , 2006, UbiComp.