Radar for Indoor Monitoring: Detection, Classification, and Assessment
Multiple-input multiple-output radar for monitoring of bed-ridden patients
Publication
, Chapter
Xu, C; Krolik, J
January 1, 2017
Human motion monitoring has become a highly active topic in various research areas because of its potential for understanding people’s activities, intents, and even health statuses. The ability to continuously and consistently monitor human motion is an important function in numerous applications, including surveillance, control, and analysis [1]. A typical surveillance application is abnormality detection in public areas. Human-computer interface is a well-known example of control applications. In terms of analysis applications, patient diagnostics and athletic performance analysis are receiving more and more attention from both researchers and practitioners [2-4].
Duke Scholars
DOI
ISBN
9781138746091
Publication Date
January 1, 2017
Start / End Page
227 / 260
Citation
APA
Chicago
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MLA
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Xu, C., & Krolik, J. (2017). Multiple-input multiple-output radar for monitoring of bed-ridden patients. In Radar for Indoor Monitoring: Detection, Classification, and Assessment (pp. 227–260). https://doi.org/10.1201/9781315155340
Xu, C., and J. Krolik. “Multiple-input multiple-output radar for monitoring of bed-ridden patients.” In Radar for Indoor Monitoring: Detection, Classification, and Assessment, 227–60, 2017. https://doi.org/10.1201/9781315155340.
Xu C, Krolik J. Multiple-input multiple-output radar for monitoring of bed-ridden patients. In: Radar for Indoor Monitoring: Detection, Classification, and Assessment. 2017. p. 227–60.
Xu, C., and J. Krolik. “Multiple-input multiple-output radar for monitoring of bed-ridden patients.” Radar for Indoor Monitoring: Detection, Classification, and Assessment, 2017, pp. 227–60. Scopus, doi:10.1201/9781315155340.
Xu C, Krolik J. Multiple-input multiple-output radar for monitoring of bed-ridden patients. Radar for Indoor Monitoring: Detection, Classification, and Assessment. 2017. p. 227–260.
DOI
ISBN
9781138746091
Publication Date
January 1, 2017
Start / End Page
227 / 260