Human Activity Recognition Using Wearable Sensors Based on Image Classification
Author:
Affiliation:
1. Electrical Engineering Department, Yazd University, Yazd, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9795939/09772489.pdf?arnumber=9772489
Reference39 articles.
1. A Novel Approach to Detect Emergency Using Machine Learning
2. Mobile sensor based human activity recognition: distinguishing of challenging activities by applying long short-term memory deep learning modified by residual network concept
3. Stochastic Recognition of Physical Activity and Healthcare Using Tri-Axial Inertial Wearable Sensors
4. Multi-task Self-Supervised Learning for Human Activity Detection
5. SelfHAR
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1. AS-APF: Encoding time series as images for human activity recognition with SK-based convolutional networks;Transactions of the Institute of Measurement and Control;2024-08-24
2. A Multiscale Cross-Modal Interactive Fusion Network for Human Activity Recognition Using Wearable Sensors and Smartphones;IEEE Internet of Things Journal;2024-08-15
3. CSI-Based Human Activity Recognition via Lightweight CNN Model and Data Augmentation;IEEE Sensors Journal;2024-08-01
4. A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique;Sensors;2024-07-04
5. Multiscale knowledge distillation with attention based fusion for robust human activity recognition;Scientific Reports;2024-05-30
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