Infrared–ultrasonic sensor fusion for support vector machine–based fall detection

Chen, Zhangjie; Wang, Ya

doi:10.1177/1045389x18758183

Title: Infrared–ultrasonic sensor fusion for support vector machine–based fall detection

Journal Article · Thu Mar 01 00:00:00 EST 2018 · Journal of Intelligent Material Systems and Structures

DOI:https://doi.org/10.1177/1045389x18758183· OSTI ID:1541874

Chen, Zhangjie ^[1];

^[1]

Department of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA

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Research Organization:: State Univ. of New York (SUNY), Albany, NY (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AR0000531

OSTI ID:: 1541874

Journal Information:: Journal of Intelligent Material Systems and Structures, Vol. 29, Issue 9; ISSN 1045-389X

Publisher:: SAGE

Country of Publication:: United States

Language:: English

References (19)

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Multiple Human Tracking and Identification With Wireless Distributed Pyroelectric Sensor Systems IEEE Systems Journal, Vol. 3, Issue 4 https://doi.org/10.1109/JSYST.2009.2035734	journal	December 2009
Challenges, issues and trends in fall detection systems Igual, Raul; Medrano, Carlos; Plaza, Inmaculada BioMedical Engineering OnLine, Vol. 12, Issue 1 https://doi.org/10.1186/1475-925X-12-66	journal	January 2013
A Survey on Human Activity Recognition using Wearable Sensors Lara, Oscar D.; Labrador, Miguel A. IEEE Communications Surveys & Tutorials, Vol. 15, Issue 3 https://doi.org/10.1109/SURV.2012.110112.00192	journal	October 2013
A pyroelectric infrared sensor-based indoor location-aware system for the smart home Lee, Suk; Ha, Kyoung; Lee, Kyung IEEE Transactions on Consumer Electronics, Vol. 52, Issue 4 https://doi.org/10.1109/TCE.2006.273150	journal	November 2006
A fall detection system using low resolution infrared array sensor Mashiyama, Shota; Hong, Jihoon; Ohtsuki, Tomoaki 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC) https://doi.org/10.1109/PIMRC.2014.7136520	conference	September 2014
Activity recognition using low resolution infrared array sensor Mashiyama, Shota; Hong, Jihoon; Ohtsuki, Tomoaki 2015 IEEE International Conference on Signal Processing for Communications (ICC), 2015 IEEE International Conference on Communications (ICC) https://doi.org/10.1109/ICC.2015.7248370	conference	June 2015
Epidemiology of falls Masud, T.; Morris, R. O. Age and Ageing, Vol. 30, Issue suppl 4 https://doi.org/10.1093/ageing/30.suppl_4.3	journal	November 2001
BLUESOUND: A New Resident Identification Sensor—Using Ultrasound Array and BLE Technology for Smart Home Platform Mokhtari, Ghassem; Zhang, Qing; Nourbakhsh, Ghavameddin IEEE Sensors Journal, Vol. 17, Issue 5 https://doi.org/10.1109/JSEN.2017.2647960	journal	March 2017
A survey on fall detection: Principles and approaches Mubashir, Muhammad; Shao, Ling; Seed, Luke Neurocomputing, Vol. 100 https://doi.org/10.1016/j.neucom.2011.09.037	journal	January 2013
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation Rougier, Caroline; Meunier, Jean; St-Arnaud, Alain IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, Issue 5 https://doi.org/10.1109/TCSVT.2011.2129370	journal	May 2011
Falls in older people: epidemiology, risk factors and strategies for prevention Rubenstein, Laurence Z. Age and Ageing, Vol. 35, Issue suppl_2 https://doi.org/10.1093/ageing/afl084	journal	September 2006
AURES: A Wide-Band Ultrasonic Occupancy Sensing Platform Shih, Oliver; Lazik, Patrick; Rowe, Anthony Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments - BuildSys '16 https://doi.org/10.1145/2993422.2993580	conference	January 2016
HMM-Based Human Fall Detection and Prediction Method Using Tri-Axial Accelerometer IEEE Sensors Journal, Vol. 13, Issue 5 https://doi.org/10.1109/JSEN.2013.2245231	journal	May 2013
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Occupancy Estimation Using a Low-Pixel Count Thermal Imager Tyndall, Ash; Cardell-Oliver, Rachel; Keating, Adrian IEEE Sensors Journal, Vol. 16, Issue 10 https://doi.org/10.1109/JSEN.2016.2530824	journal	May 2016
A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls Zigel, Y.; Litvak, D.; Gannot, I. IEEE Transactions on Biomedical Engineering, Vol. 56, Issue 12 https://doi.org/10.1109/TBME.2009.2030171	journal	December 2009

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