Monitoring System of Wearable Sensor Signal in Rehabilitation Using Efficient Deep Learning Approaches-Reference-Cited by-同舟云学术

Monitoring System of Wearable Sensor Signal in Rehabilitation Using Efficient Deep Learning Approaches

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
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Author:

Jantawong Ponnipa¹,Mekruksavanich Sakorn¹,Jitpattanakul Anuchit²

Affiliation:

1. University of Phayao,School of Information and Communication Technology,Department of Computer Engineering,Thailand

2. King Mongkut’s University of Technology North Bangkok,Intelligent and Nonlinear Dynamic Innovations Research Center,Department of Mathematics Faculty of Applied Science,Bangkok,Thailand

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049326.pdf?arnumber=10049326

Reference22 articles.

1. Multimodal Wearable Sensing for Sport-Related Activity Recognition Using Deep Learning Networks

2. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;Proceedings of the 36th International Conference on Machine Learning ser Proceedings of Machine Learning Research,2019

3. Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs

4. CNN-Based Deep Learning Network for Human Activity Recognition During Physical Exercise from Accelerometer and Photoplethysmographic Sensors

5. ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors

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