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Volumn 2015-September, Issue , 2015, Pages 65-76

Understanding and modeling of WiFi signal based human activity recognition

Author keywords

Activity recognition; Channel state information (CSI); WiFi

Indexed keywords

DYNAMICS; MOBILE COMPUTING; PATTERN RECOGNITION; WI-FI;

EID: 84954213402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2789168.2790093     Document Type: Conference Paper
Times cited : (985)

References (35)
  • 1
    • 0003593249 scopus 로고    scopus 로고
    • Enhancements for higher throughput
    • 11n
    • Enhancements for higher throughput. IEEE Standard 802. 11n, 2009.
    • (2009) IEEE Standard 802
  • 2
    • 84954278397 scopus 로고    scopus 로고
    • Google project Soli. https://www.youtube.com/watch?v=0QNiZfSsPc0.
    • Google Project Soli
  • 7
    • 83455176188 scopus 로고    scopus 로고
    • AutoSense: Unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field
    • E. Ertin, N. Stohs, S. Kumar, A. Raij, M. al'Absi, and S. Shah. AutoSense: unobtrusively wearable sensor suite for inferring the onset, causality, and consequences of stress in the field. In Proceedings of ACM Sensys, 2011.
    • (2011) Proceedings of ACM Sensys
    • Ertin, E.1    Stohs, N.2    Kumar, S.3    Raij, A.4    Al'Absi, M.5    Shah, S.6
  • 9
    • 79551483702 scopus 로고    scopus 로고
    • Tool release: Gathering 802.11n traces with channel state information
    • D. Halperin, W. Hu, A. Sheth, and D. Wetherall. Tool release: Gathering 802.11n traces with channel state information. ACM SIGCOMM CCR, 41(1):53, 2011.
    • (2011) ACM SIGCOMM CCR , vol.41 , Issue.1 , pp. 53
    • Halperin, D.1    Hu, W.2    Sheth, A.3    Wetherall, D.4
  • 10
    • 84904416250 scopus 로고    scopus 로고
    • Wifall: Device-free fall detection by wireless networks
    • C. Han, K. Wu, Y. Wang, and L. M. Ni. Wifall: Device-free fall detection by wireless networks. In Proceedings of IEEE INFOCOM, pages 271-279, 2014.
    • (2014) Proceedings of IEEE INFOCOM , pp. 271-279
    • Han, C.1    Wu, K.2    Wang, Y.3    Ni, L.M.4
  • 16
    • 77954935330 scopus 로고    scopus 로고
    • Human gait classification using microdoppler time-frequency signal representations
    • B. Lyonnet, C. Ioana, and M. G. Amin. Human gait classification using microdoppler time-frequency signal representations. In Proceedings of IEEE Radar Conference, pages 915-919, 2010.
    • (2010) Proceedings of IEEE Radar Conference , pp. 915-919
    • Lyonnet, B.1    Ioana, C.2    Amin, M.G.3
  • 19
    • 84881164734 scopus 로고    scopus 로고
    • Avoiding multipath to revive inbuilding WiFi localization
    • S. Sen, J. Lee, K.-H. Kim, and P. Congdon. Avoiding multipath to revive inbuilding WiFi localization. In Proceeding of ACM MobiSys, pages 249-262, 2013.
    • (2013) Proceeding of ACM MobiSys , pp. 249-262
    • Sen, S.1    Lee, J.2    Kim, K.-H.3    Congdon, P.4
  • 20
    • 84864356204 scopus 로고    scopus 로고
    • You are facing the mona lisa: Spot localization using phy layer information
    • S. Sen, B. Radunovic, R. R. Choudhury, and T. Minka. You are facing the mona lisa: spot localization using phy layer information. In Proceedings of ACM MobiSys, pages 183-196, 2012.
    • (2012) Proceedings of ACM MobiSys , pp. 183-196
    • Sen, S.1    Radunovic, B.2    Choudhury, R.R.3    Minka, T.4
  • 21
    • 84901334120 scopus 로고    scopus 로고
    • The telepathic phone: Frictionless activity recognition from WiFi-RSSI
    • S. Sigg, U. Blanke, and G. Troster. The telepathic phone: Frictionless activity recognition from WiFi-RSSI. In IEEE PerCom, pages 148-155, 2014.
    • (2014) IEEE PerCom , pp. 148-155
    • Sigg, S.1    Blanke, U.2    Troster, G.3
  • 22
    • 84897864141 scopus 로고    scopus 로고
    • RF-sensing of activities from non-cooperative subjects in device-free recognition systems using ambient and local signals
    • S. Sigg, M. Scholz, S. Shi, Y. Ji, and M. Beigl. RF-sensing of activities from non-cooperative subjects in device-free recognition systems using ambient and local signals. IEEE Transactions on Mobile Computing, 13(4):907-920, 2014.
    • (2014) IEEE Transactions on Mobile Computing , vol.13 , Issue.4 , pp. 907-920
    • Sigg, S.1    Scholz, M.2    Shi, S.3    Ji, Y.4    Beigl, M.5
  • 23
    • 84897612116 scopus 로고    scopus 로고
    • Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and rssi-based signal features
    • S. Sigg, S. Shi, F. Buesching, Y. Ji, and L. Wolf. Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and rssi-based signal features. In Proceedings of ACM MoMM, 2013.
    • (2013) Proceedings of ACM MoMM
    • Sigg, S.1    Shi, S.2    Buesching, F.3    Ji, Y.4    Wolf, L.5
  • 25
    • 40549139737 scopus 로고    scopus 로고
    • Feature-based human motion parameter estimation with radar
    • P. Van Dorp and F. Groen. Feature-based human motion parameter estimation with radar. IET Radar, Sonar & Navigation, 2(2):135-145, 2008.
    • (2008) IET Radar, Sonar & Navigation , vol.2 , Issue.2 , pp. 135-145
    • Van Dorp, P.1    Groen, F.2
  • 28
    • 45349099441 scopus 로고    scopus 로고
    • Hidden Markov models and the baum-welch algorithm
    • L. R. Welch. Hidden markov models and the baum-welch algorithm. IEEE Information Theory Society Newsletter, 53(4):10-13, 2003.
    • (2003) IEEE Information Theory Society Newsletter , vol.53 , Issue.4 , pp. 10-13
    • Welch, L.R.1
  • 31
    • 84907821009 scopus 로고    scopus 로고
    • Tagoram: Real-time tracking of mobile RFID tags to high precision using cots devices
    • L. Yang, Y. Chen, X.-Y. Li, C. Xiao, M. Li, and Y. Liu. Tagoram: real-time tracking of mobile RFID tags to high precision using cots devices. In ACM MobiCom, pages 237-248, 2014.
    • (2014) ACM MobiCom , pp. 237-248
    • Yang, L.1    Chen, Y.2    Li, X.-Y.3    Xiao, C.4    Li, M.5    Liu, Y.6
  • 32
    • 84892653858 scopus 로고    scopus 로고
    • From RSSI to CSI: Indoor localization via channel response
    • Z. Yang, Z. Zhou, and Y. Liu. From RSSI to CSI: Indoor localization via channel response. ACM Computing Surveys, 46(2):25, 2013.
    • (2013) ACM Computing Surveys , vol.46 , Issue.2 , pp. 25
    • Yang, Z.1    Zhou, Z.2    Liu, Y.3
  • 33
    • 84867466925 scopus 로고    scopus 로고
    • Bodyscope: A wearable acoustic sensor for activity recognition
    • K. Yatani and K. N. Truong. Bodyscope: a wearable acoustic sensor for activity recognition. In Proceedings of ACM UbiComp, pages 341-350, 2012.
    • (2012) Proceedings of ACM UbiComp , pp. 341-350
    • Yatani, K.1    Truong, K.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.