A survey on wearable human activity recognition: innovative pipeline development for enhanced research and practice
Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …
State-of-the-art in 1d convolutional neural networks: A survey
Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …
most common approach being the Convolutional Neural Network (CNN). Through CNN …
A deep local-temporal architecture with attention for lightweight human activity recognition
Abstract Human Activity Recognition (HAR) is an essential area of pervasive computing
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
deployed in numerous fields. In order to seamlessly capture human activities, various inertial …
[PDF][PDF] Journal of Computing, Science &Technology
Mobility, ease of accessibility, and portability have continued to grant ease in the adoption
rise of smartphones; while, also proliferating the vulnerability of users that are often …
rise of smartphones; while, also proliferating the vulnerability of users that are often …
Exploring the Enhanced Performance of Unsupervised Feature Learning and Compression with Auto encoders
The sector of information compression and unsupervised feature getting to know has been
gaining in recent years. A chief step forward in this location is the introduction of vehicle …
gaining in recent years. A chief step forward in this location is the introduction of vehicle …