Multi-input CNN-GRU based human activity recognition using wearable sensors

Human Activity Recognition (HAR) has attracted much attention from researchers in the recent past. The intensification of research into HAR lies in the motive to understand human behaviour and inherently anticipate human intentions. Human activity data obtained via wearable sensors like gyroscope an...

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Vydané v:	Computing Ročník 103; číslo 7; s. 1461 - 1478
Hlavní autori:	Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Vienna Springer Vienna 01.07.2021 Springer Nature B.V
Predmet:	Accelerometers Artificial Intelligence Artificial neural networks Classification Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Feature extraction Human activity recognition Information Systems Applications (incl.Internet) Moving object recognition Neural networks Regular Paper Sensors Software Engineering Wearable technology Long short term memory (LSTM) CNN Deep neural networks 68W Primary Classification: 68T GRU Human activity recognition 62H 15A
ISSN:	0010-485X, 1436-5057
On-line prístup:	Získať plný text
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