A Human Activity Recognition Model Based on Wearable Sensor-Reference-Cited by-同舟云学术

A Human Activity Recognition Model Based on Wearable Sensor

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 9th International Conference on Digital Home (ICDH)
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Author:

Zhou Fan¹,Wang Ruomei¹,Su Hang¹,Xu Shenyi¹

Affiliation:

1. Sun Yat-sen University,School of Computer Science and Engineering, Research Institute of Sun Yat-sen University in Shenzhen National-Local Joint Laboratory of Digital Home Interactive Applications,Guangzhou,China,510006

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9978166/9978276/09978338.pdf?arnumber=9978338

Reference17 articles.

1. FEATURES SELECTION FOR HUMAN ACTIVITY RECOGNITION IN THE TELEREHABILITATION SYSTEM

2. Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks

3. An effective deep autoencoder approach for online smartphonebased human activity recognition;almaslukh;International Journal of Computer Science and Network Security,2017

4. Deep cnn hyperparameter optimization algorithms for sensor-based human activity recognition;saeid;Neuro informatics,2022

5. Improving Human Activity Recognition in Smart Homes

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1. Hybrid Attention with CNN-BiLSTM and CBAM for Efficient Wearable Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31

2. Federated Learning Framework for Human Activity Recognition Using Smartphones;Procedia Computer Science;2024