메뉴 건너뛰기




Volumn 9, Issue 1, 2017, Pages

TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi

Author keywords

Channel state information; Commodity WiFi; Healthcare internet of things (IoT); Stable roommate matching; Tensor decomposition; Vital sign monitoring

Indexed keywords

INTERNET OF THINGS; PATIENT MONITORING; SIGNAL PROCESSING; TENSORS; WIRELESS LOCAL AREA NETWORKS (WLAN);

EID: 85019090826     PISSN: 21576904     EISSN: 21576912     Source Type: Journal    
DOI: 10.1145/3078855     Document Type: Article
Times cited : (174)

References (54)
  • 3
    • 84983287951 scopus 로고    scopus 로고
    • Zephyr: Ubiquitous accurate multi-sensor fusion-based respiratory rate estimation using smartphones
    • IEEE, Los Alamitos, CA
    • H. Aly and M. Youssef. 2016. Zephyr: Ubiquitous accurate multi-sensor fusion-based respiratory rate estimation using smartphones. In Proceedings of the IEEE INFOCOM Conference (INFOCOM'16). IEEE, Los Alamitos, CA, 1-9.
    • (2016) Proceedings of the IEEE INFOCOM Conference (INFOCOM'16) , pp. 1-9
    • Aly, H.1    Youssef, M.2
  • 4
    • 0036762909 scopus 로고    scopus 로고
    • Wireless house calls: Using communications technology for health care and monitoring
    • O. Boric-Lubeke and V. M. Lubecke. 2002. Wireless house calls: Using communications technology for health care and monitoring. IEEE Microwave Magazine 3, 3, 43-48.
    • (2002) IEEE Microwave Magazine , vol.3 , Issue.3 , pp. 43-48
    • Boric-Lubeke, O.1    Lubecke, V.M.2
  • 6
    • 85024898864 scopus 로고    scopus 로고
    • Experimental approach for seeing through walls using Wi-Fi enabled software defined radio technology
    • I. Cushman, D. B. Rawat, A. Bhimraj, and M. Fraser. 2016. Experimental approach for seeing through walls using Wi-Fi enabled software defined radio technology. Digital Communications and Networks 2, 4, 245-255.
    • (2016) Digital Communications and Networks , vol.2 , Issue.4 , pp. 245-255
    • Cushman, I.1    Rawat, D.B.2    Bhimraj, A.3    Fraser, M.4
  • 8
    • 84938704293 scopus 로고    scopus 로고
    • Duplex mode selection and channel allocation for full-duplex cognitive femtocell networks
    • IEEE, Los Alamitos, CA
    • M. Feng, S. Mao, and T. Jiang. 2015a. Duplex mode selection and channel allocation for full-duplex cognitive femtocell networks. In Proceedings of the IEEE WCNC Conference (WCNC'15). IEEE, Los Alamitos, CA, 1900-1905.
    • (2015) Proceedings of the IEEE WCNC Conference (WCNC'15) , pp. 1900-1905
    • Feng, M.1    Mao, S.2    Jiang, T.3
  • 9
    • 84969869764 scopus 로고    scopus 로고
    • Joint duplex mode selection, channel allocation, and power control for full-duplex cognitive femtocell networks
    • M. Feng, S. Mao, and T. Jiang. 2015b. Joint duplex mode selection, channel allocation, and power control for full-duplex cognitive femtocell networks. Digital Communications and Networks 1, 1, 30-44.
    • (2015) Digital Communications and Networks , vol.1 , Issue.1 , pp. 30-44
    • Feng, M.1    Mao, S.2    Jiang, T.3
  • 13
    • 84923224316 scopus 로고    scopus 로고
    • Towards scalable systems for big data analytics: A technology tutorial
    • H. Hu, Y. G. Wen, T.-S. Chua, and X. L. Li. 2014. Towards scalable systems for big data analytics: A technology tutorial. IEEE Access Journal 2, 652-687.
    • (2014) IEEE Access Journal , vol.2 , pp. 652-687
    • Hu, H.1    Wen, Y.G.2    Chua, T.-S.3    Li, X.L.4
  • 15
    • 0039468436 scopus 로고
    • An efficient algorithm for the 'stable roommates' problem
    • R. Irving. 1985. An efficient algorithm for the 'stable roommates' problem. Journal of Algorithms 6, 6, 577-595.
    • (1985) Journal of Algorithms , vol.6 , Issue.6 , pp. 577-595
    • Irving, R.1
  • 16
    • 68649096448 scopus 로고    scopus 로고
    • Tensor decompositions and applications
    • T. G. Kolda and B. W. Bader. 2009. Tensor decompositions and applications. SIAM Review 51, 3, 455-500.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 455-500
    • Kolda, T.G.1    Bader, B.W.2
  • 18
    • 84856253450 scopus 로고    scopus 로고
    • Blind separation of exponential polynomials and the decomposition of a tensor in rank-(Lr, Lr, 1) terms
    • L. De Lathauwer. 2011. Blind separation of exponential polynomials and the decomposition of a tensor in rank-(Lr, Lr, 1) terms. SIAM Journal on Matrix Analysis and Applications 32, 4, 1451-1474.
    • (2011) SIAM Journal on Matrix Analysis and Applications , vol.32 , Issue.4 , pp. 1451-1474
    • De Lathauwer, L.1
  • 19
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • Y. LeCun, Y. Bengio, and G. Hinton. 2015. Deep learning. Nature 521, 7553, 436-444.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3
  • 24
    • 84988285636 scopus 로고    scopus 로고
    • PADS: Passive detection of moving targets with dynamic speed using PHY layer information
    • IEEE, New York, NY
    • Kun Qian, Chenshu Wu, Zheng Yang, Yunhao Liu, and Zimu Zhou. 2014. PADS: Passive detection of moving targets with dynamic speed using PHY layer information. In Proceedings of the IEEE ICPADS Conference (ICPADS'14). IEEE, New York, NY, 1-8.
    • (2014) Proceedings of the IEEE ICPADS Conference (ICPADS'14) , pp. 1-8
    • Qian, K.1    Wu, C.2    Yang, Z.3    Liu, Y.4    Zhou, Z.5
  • 25
    • 84885674772 scopus 로고    scopus 로고
    • COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems
    • P. Rashidi and D. J. Cook. 2013. COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems. ACM Transactions on Intelligent Systems and Technology 4, 4, 64:1-64:20.
    • (2013) ACM Transactions on Intelligent Systems and Technology , vol.4 , Issue.4 , pp. 641-6420
    • Rashidi, P.1    Cook, D.J.2
  • 26
  • 27
    • 80455145427 scopus 로고    scopus 로고
    • Propagation parameter estimation, modeling and measurements for ultrawideband MIMO radar
    • J. Salmi and A. F. Molisch. 2011. Propagation parameter estimation, modeling and measurements for ultrawideband MIMO radar. IEEE Transactions on Microwave Theory and Techniques 59, 11, 4257-4267.
    • (2011) IEEE Transactions on Microwave Theory and Techniques , vol.59 , Issue.11 , pp. 4257-4267
    • Salmi, J.1    Molisch, A.F.2
  • 29
    • 41749090269 scopus 로고    scopus 로고
    • Toward accurate dynamic time warping in linear time and space
    • S. Salvador and P. Chan. 2007. Toward accurate dynamic time warping in linear time and space. Intelligent Data Analysis Journal 11, 5, 561-580.
    • (2007) Intelligent Data Analysis Journal , vol.11 , Issue.5 , pp. 561-580
    • Salvador, S.1    Chan, P.2
  • 31
    • 69649085623 scopus 로고    scopus 로고
    • Comparison of selected parametric models for analysis of the photoplethysmographic signal
    • IEEE, Los Alamitos, CA
    • N. H. Shariati and E. Zahedi. 2005. Comparison of selected parametric models for analysis of the photoplethysmographic signal. In Proceedings of the CCSP Conference (CCSP'05). IEEE, Los Alamitos, CA, 169-172.
    • (2005) Proceedings of the CCSP Conference (CCSP'05). , pp. 169-172
    • Shariati, N.H.1    Zahedi, E.2
  • 32
    • 0033220982 scopus 로고    scopus 로고
    • Optimum receiver design for wireless broad-band systems using OFDM - Part I
    • M. Speth, S. Fechtel, G. Fock, and H. Meyr. 1999. Optimum receiver design for wireless broad-band systems using OFDM - Part I. IEEE Transactions on Communications 47, 11, 1668-1677.
    • (1999) IEEE Transactions on Communications , vol.47 , Issue.11 , pp. 1668-1677
    • Speth, M.1    Fechtel, S.2    Fock, G.3    Meyr, H.4
  • 33
    • 84901193514 scopus 로고    scopus 로고
    • Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation
    • Y. Sun and M. Kumar. 2014. Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation. Computers and Mathematics with Applications 67, 10, 1960-1977.
    • (2014) Computers and Mathematics with Applications , vol.67 , Issue.10 , pp. 1960-1977
    • Sun, Y.1    Kumar, M.2
  • 34
    • 84924735905 scopus 로고    scopus 로고
    • A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids
    • Y. Sun and M. Kumar. 2015. A numerical solver for high dimensional transient Fokker-Planck equation in modeling polymeric fluids. Journal of Computational Physics 289, 10, 149-168.
    • (2015) Journal of Computational Physics , vol.289 , Issue.10 , pp. 149-168
    • Sun, Y.1    Kumar, M.2
  • 35
    • 85010058679 scopus 로고    scopus 로고
    • Multi-column bi-directional long short-term memory for mobile devices-based human activity recognition
    • D. P. Tao, Y. G. Wen, and R. C. Hong. 2016. Multi-column bi-directional long short-term memory for mobile devices-based human activity recognition. IEEE Internet of Things Journal 3, 6, 1124-1134.
    • (2016) IEEE Internet of Things Journal , vol.3 , Issue.6 , pp. 1124-1134
    • Tao, D.P.1    Wen, Y.G.2    Hong, R.C.3
  • 38
    • 84891602874 scopus 로고    scopus 로고
    • Dude, where's my card? RFID positioning that works with multipath and non-line of sight
    • ACM, New York, NY
    • J.Wang and D. Katabi. 2013. Dude, where's my card? RFID positioning that works with multipath and non-line of sight. In Proceedings of the ACM SIGCOMM Conference (SIGCOMM'13). ACM, New York, NY, 51-62.
    • (2013) Proceedings of the ACM SIGCOMM Conference (SIGCOMM'13) , pp. 51-62
    • Wang, J.1    Katabi, D.2
  • 40
    • 84964891416 scopus 로고    scopus 로고
    • PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach
    • IEEE, Los Alamitos, CA
    • X. Wang, L. Gao, and S. Mao. 2015b. PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach. In Proceedings of the GLOBECOM Conference (GLOBECOM'15). IEEE, Los Alamitos, CA, 1-6.
    • (2015) Proceedings of the GLOBECOM Conference (GLOBECOM'15) , pp. 1-6
    • Wang, X.1    Gao, L.2    Mao, S.3
  • 41
    • 85010058298 scopus 로고    scopus 로고
    • CSI phase fingerprinting for indoor localization with a deep learning approach
    • X. Wang, L. Gao, and S. Mao. 2016b. CSI phase fingerprinting for indoor localization with a deep learning approach. IEEE Internet of Things Journal 3, 6, 1113-1123.
    • (2016) IEEE Internet of Things Journal , vol.3 , Issue.6 , pp. 1113-1123
    • Wang, X.1    Gao, L.2    Mao, S.3
  • 42
    • 84938693962 scopus 로고    scopus 로고
    • DeepFi: Deep learning for indoor fingerprinting using channel state information
    • IEEE, Los Alamitos, CA
    • X. Wang, L. Gao, S. Mao, and S. Pandey. 2015c. DeepFi: Deep learning for indoor fingerprinting using channel state information. In Proceedings of the WCNC Conference (WCNC'15). IEEE, Los Alamitos, CA, 1666-1671.
    • (2015) Proceedings of the WCNC Conference (WCNC'15) , pp. 1666-1671
    • Wang, X.1    Gao, L.2    Mao, S.3    Pandey, S.4
  • 43
    • 85009917988 scopus 로고    scopus 로고
    • CSI-based fingerprinting for indoor localization: A deep learning approach
    • X.Wang, L. Gao, S. Mao, and S. Pandey. 2017a. CSI-based fingerprinting for indoor localization: A deep learning approach. IEEE Transactions on Vehicular Technology 66, 1, 763-776.
    • (2017) IEEE Transactions on Vehicular Technology , vol.66 , Issue.1 , pp. 763-776
    • Wang, X.1    Gao, L.2    Mao, S.3    Pandey, S.4
  • 44
    • 85027248737 scopus 로고    scopus 로고
    • PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices
    • IEEE, Atlanta, GA
    • X.Wang, C. Yang, and S. Mao. 2017b. PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices. In Proceedings of the IEEE ICDCS Conference (ICDCS'17). IEEE, Atlanta, GA, 1230-1239.
    • (2017) Proceedings of the IEEE ICDCS Conference (ICDCS'17) , pp. 1230-1239
    • Wang, X.1    Yang, C.2    Mao, S.3
  • 52
    • 84907923426 scopus 로고    scopus 로고
    • User grouping for massive MIMO in FDD systems: New design methods and analysis
    • Y. Xu, G. Yue, and S. Mao. 2014. User grouping for massive MIMO in FDD systems: New design methods and analysis. IEEE Access Journal 2, 1, 947-959. http://dx.doi.org/10.1109/ACCESS.2014.2353297
    • (2014) IEEE Access Journal , vol.2 , Issue.1 , pp. 947-959
    • Xu, Y.1    Yue, G.2    Mao, S.3
  • 54
    • 84892653858 scopus 로고    scopus 로고
    • From RSSI to CSI: Indoor localization via channel response
    • Z. Yang, Z. Zhou, and Y. Liu. 2013. From RSSI to CSI: Indoor localization via channel response. ACM Computing Surveys 46, 2, 25:1-25:32.
    • (2013) ACM Computing Surveys , vol.46 , Issue.2 , pp. 251-2532
    • Yang, Z.1    Zhou, Z.2    Liu, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.