Robust human locomotion and localization activity recognition over multisensory

D Khan, M Alonazi, M Abdelhaq, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Patchhar: A mlp-like architecture for efficient activity recognition using wearables

S Wang, L Zhang, X Wang, W Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To date, convolutional neural networks have played a dominant role in sensor-based human
activity recognition (HAR) scenarios. In 2021, researchers from four institutions almost …

Deep Incremental Learning for Personalized Human Activity Recognition on Edge Devices

S Younan, M Abu-Elkheir - IEEE Canadian Journal of Electrical …, 2022 - ieeexplore.ieee.org
Tracking human daily activities is a useful functionality supported in many applications,
especially with the pervasive use of wearable devices. State-of-the-art human activity …

Novel Human Activity Recognition by graph engineered ensemble deep learning model

M Ghalan, RK Aggarwal - IFAC Journal of Systems and Control, 2024 - Elsevier
This research delves into the domain of Human Activity Recognition (HAR) through sensor
data analysis, offering a comprehensive exploration of three diverse datasets: UniMiB …