Deep ensemble learning approach for lower extremity activities recognition using wearable sensors

• Published in: Expert systems Vol. 39; no. 6
• Main Authors: Jain, Rahul, Semwal, Vijay Bhaskar, Kaushik, Praveen
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.07.2022
• Subjects: Artificial neural networks; bipedal robots; Classifiers; CNN; Datasets; Deep learning; edge computing; Ensemble learning; Form factors; human activity recognition (HAR); IMU; Inertial platforms; Inertial sensing devices; internet of things (IoT); Locomotion; LSTM; Recognition; Rehabilitation; Robot dynamics; robot walk generation; Robots; tinyML; Walking; wearable sensors; Wearable technology
• ISSN: 0266-4720; 1468-0394
• DOI: 10.1111/exsy.12743

Human walking is a very challenging task and always requires rigorous practice. It is a learning process that involves the complex coordination of the brain and lower limbs. The bipedal robots that mimic the human morphological structure to produce human similar walking, are not capable of producing...