A Mini-Survey and Feasibility Study of Deep-Learning-Based Human Activity Recognition from Slight Feature Signals Obtained Using Privacy-Aware Environmental Sensors

Numerous methods and applications have been proposed in human activity recognition (HAR). This paper presents a mini-survey of recent HAR studies and our originally developed benchmark datasets of two types using environmental sensors. For the first dataset, we specifically examine human pose estima...

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Detaylı Bibliyografya
Asıl Yazarlar:	Hirokazu Madokoro, Stephanie Nix, Hanwool Woo, Kazuhito Sato
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2021-12-01
Seri Bilgileri:	Applied Sciences
Konular:	activities of daily living behavior pattern deep learning human activity recognition long short-term memory
Online Erişim:	https://www.mdpi.com/2076-3417/11/24/11807
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A Mini-Survey and Feasibility Study of Deep-Learning-Based Human Activity Recognition from Slight Feature Signals Obtained Using Privacy-Aware Environmental Sensors

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