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

Authors:
 [1]; ORCiD logo [1]
  1. Department of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA
Publication Date:
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1507201
Grant/Contract Number:  
AR0000531
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Intelligent Material Systems and Structures
Additional Journal Information:
Journal Name: Journal of Intelligent Material Systems and Structures Journal Volume: 29 Journal Issue: 9; Journal ID: ISSN 1045-389X
Publisher:
SAGE Publications
Country of Publication:
United States
Language:
English

Citation Formats

Chen, Zhangjie, and Wang, Ya. Infrared–ultrasonic sensor fusion for support vector machine–based fall detection. United States: N. p., 2018. Web. doi:10.1177/1045389X18758183.
Chen, Zhangjie, & Wang, Ya. Infrared–ultrasonic sensor fusion for support vector machine–based fall detection. United States. doi:10.1177/1045389X18758183.
Chen, Zhangjie, and Wang, Ya. Fri . "Infrared–ultrasonic sensor fusion for support vector machine–based fall detection". United States. doi:10.1177/1045389X18758183.
@article{osti_1507201,
title = {Infrared–ultrasonic sensor fusion for support vector machine–based fall detection},
author = {Chen, Zhangjie and Wang, Ya},
abstractNote = {},
doi = {10.1177/1045389X18758183},
journal = {Journal of Intelligent Material Systems and Structures},
issn = {1045-389X},
number = 9,
volume = 29,
place = {United States},
year = {2018},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1177/1045389X18758183

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