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

• 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
• DOI: 10.1007/s00607-021-00928-8

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...