Data Augmentation for Human Activity Recognition With Generative Adversarial Networks
Author:
Affiliation:
1. Department of Informatics, University of Almería, Almeria, Spain
2. School of Computing, Ulster University, Belfast, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6221020/10491283/10432776.pdf?arnumber=10432776
Reference42 articles.
1. Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
2. Recent trends in machine learning for human activity recognition—A survey
3. IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment
4. The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development
5. Societal Consequences of Falls in the Older Population: Injuries, Healthcare Costs, and Long-Term Reduced Quality of Life
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