DOI: 10.22215/etd/2017-12170
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Human Activity and Posture Classification Using Single Non-Contact Radar Sensor

Abstract: Radar has been proposed for monitoring the health of elderly patients in long term care because it is safe, non-contact and preserves the privacy of patients. Random body movements (RBM) obscure radar return signals making it difficult if not impossible to accurately estimate vitals. Activity classification is presented in this thesis as a preprocessing step for dealing with RBMs. Posture classification is presented in this thesis for assistance in preventing falls. Two popular radar architectures-continuous w… Show more

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Cited by 3 publications
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“…It also does not have a problem with privacy or removal of wearable vital sign-monitoring devices by the wearer. It can detect posture changes and could possibly for detection bed-exiting [36].…”
Section: Discussionmentioning
confidence: 99%
“…It also does not have a problem with privacy or removal of wearable vital sign-monitoring devices by the wearer. It can detect posture changes and could possibly for detection bed-exiting [36].…”
Section: Discussionmentioning
confidence: 99%
“…The radar is equipped with 6-8.5 GHz directional patch antennas with a beam of 60° in both azimuth and elevation axes. The sampling rate of this radar is 23 GS/s in fast time, up to 20S/s in slow time (Baird, 2017 ) and it was set to 17 S/s in this work. The output data is in the form of a matrix where rows represent observations or samples in slow time and the columns represent samples in fast time (corresponding to range bins).…”
Section: Materials and Protocolsmentioning
confidence: 99%