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...

Full description

Saved in:

Bibliographic Details
Published in:	Computing Vol. 103; no. 7; pp. 1461 - 1478
Main Authors:	Dua, Nidhi, Singh, Shiva Nand, Semwal, Vijay Bhaskar
Format:	Journal Article
Language:	English
Published:	Vienna Springer Vienna 01.07.2021 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!