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Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
Multiscale deep feature learning for human activity recognition using wearable sensors
Deep convolutional neural networks (CNNs) achieve state-of-the-art performance in
wearable human activity recognition (HAR), which has become a new research trend in …
wearable human activity recognition (HAR), which has become a new research trend in …
Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …
especially due to the spread of electronic devices such as smartphones, smartwatches and …
Multi-ResAtt: Multilevel residual network with attention for human activity recognition using wearable sensors
MAA Al-Qaness, A Dahou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) applications have received much attention due to their
necessary implementations in various domains, including Industry 5.0 applications such as …
necessary implementations in various domains, including Industry 5.0 applications such as …