cGAN-based high dimensional IMU sensor data generation for enhanced human activity recognition in therapeutic activities
Authors:
- Mohammad MohammadzadehMMMohammad Mohammadzadeh
- Ali GhadamiAGAli Ghadami
- Alireza TaheriATAlireza Taheri
- Saeed BehzadipourSBSaeed Behzadipour
- 5 January 2025
- journal article
- research article
- Published by Elsevier in Biomedical Signal Processing and Control
- Vol. 103
Abstract
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This publication has 20 references indexed in Scilit:
- Accuracy improvement in simple and complex Human Activity Recognition using a CNN-BiLSTM multi-task deep neural network2022
- A new scheme for the development of IMU-based activity recognition systems for telerehabilitationMedical Engineering & Physics, 2022
- A wearable-HAR oriented sensory data generation method based on spatio-temporal reinforced conditional GANsNeurocomputing, 2022
- A GAN‐based data augmentation method for human activity recognition via the caching abilityInternet Technology Letters, 2020
- GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classificationNeurocomputing, 2018
- MobiGesture: Mobility-aware hand gesture recognition for healthcareSmart Health, 2018
- SensoryGANs: An Effective Generative Adversarial Framework for Sensor-based Human Activity Recognition2018
- Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural networkComputers in Biology and Medicine, 2018
- A biosignal-specific processing tool for machine learning and pattern recognition2017
- Complex activity recognition using time series pattern dictionary learned from ubiquitous sensorsInformation Sciences, 2016