Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements

This study presents a radar-based remote measurement system for classification of human behaviors and falls in restrooms without privacy invasion. Our system uses a dual Doppler radar mounted onto a restroom ceiling and wall. Machine learning methods, including the convolutional neural network (CNN)...

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Egile Nagusiak:	Kenshi Saho, Sora Hayashi, Mutsuki Tsuyama, Lin Meng, Masao Masugi
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-02-01
Saila:	Sensors
Gaiak:	Doppler radar application restroom fall detection human behavior classification remote monitoring
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/22/5/1721
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