GAFormer: Wearable IMU-Based Human Activity Recognition with Gramian Angular Field and Transformer-Reference-Cited by-同舟云学术

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GAFormer: Wearable IMU-Based Human Activity Recognition with Gramian Angular Field and Transformer

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
Short-container-title:

Author:

Le Trung-Hieu¹,Nguyen Thai-Khanh¹,Tran Trung-Kien²,Tran Thanh-Hai¹,Pham Cuong³

Affiliation:

1. Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam

2. Military Information Technology Institute,Hanoi,Vietnam

3. Posts and Telecom Institute of Technology,Department of Computer Science,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317315.pdf?arnumber=10317315

Reference23 articles.

1. Imaging time-series to improve classification and imputation;wang,2015

2. MobileNetV2: Inverted Residuals and Linear Bottlenecks

3. Human Activity Recognition Based on Gramian Angular Field and Deep Convolutional Neural Network

4. C-mhad: Continuous multimodal human action dataset of simultaneous video and inertial sensing;haoran wei;Sensors 2020,2020

5. Coatnet: Marrying convolution and attention for all data sizes;dai;Advances in neural information processing systems,2021

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