HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms

Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of deep learning, the neural architecture search (NA...

Full description

Saved in:

Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 20; p. 6927
Main Authors:	Wang, Xiaojuan, Wang, Xinlei, Lv, Tianqi, Jin, Lei, He, Mingshu
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 19.10.2021 MDPI
Subjects:	Accuracy Automation Back propagation Classification Datasets Deep learning Discriminant analysis Genetic algorithms human activity recognition Machine learning multi-objective optimization multimodal sensor data neural architecture search Neural networks Optimization Sensors Wearable computers
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!