Convolutional Neural Network With Multihead Attention for Human Activity Recognition
Author:
Affiliation:
1. Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan
2. Department of Dental Technology and Materials Science, Central Taiwan University of Science and Technology, Taichung, Taiwan
Funder
Ministry of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10384482/10177901.pdf?arnumber=10177901
Reference58 articles.
1. Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review
2. Deep Learning for Sensor-based Human Activity Recognition
3. Unobtrusive Activity Recognition of Elderly People Living Alone Using Anonymous Binary Sensors and DCNN
4. Activity-Based Person Identification Using Multimodal Wearable Sensor Data
5. A survey on wearable sensor modality centred human activity recognition in health care
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