Human activity recognition using attention-mechanism-based deep learning feature combination

M Akter, S Ansary, MAM Khan, D Kim - Sensors, 2023 - mdpi.com
Human activity recognition (HAR) performs a vital function in various fields, including
healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor …

Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition

Y Albadawi, T Shanableh - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
With the growth in the wearable device market, wearable sensor-based human activity
recognition (HAR) systems have been gaining increasing interest in research because of …

Comprehensive machine and deep learning analysis of sensor-based human activity recognition

HM Balaha, AES Hassan - Neural Computing and Applications, 2023 - Springer
Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …

Sensors-based human activity recognition using hybrid features and deep capsule network

HY Ghafoor, R Jahangir, A Jaffar… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
With the continuous advancements in artificial intelligence, human activity recognition (HAR)
technologies have garnered widespread attention and found applications across diverse …

MLCNNwav: Multilevel Convolutional Neural Network With Wavelet Transformations for Sensor-Based Human Activity Recognition

A Dahou, MAA Al-Qaness… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a rapidly growing field of research that aims to
automatically identify and classify human motions and activities from different tracking …

An efficient human activity recognition using hybrid features and transformer model

O Saidani, M Alsafyani, R Alroobaea, N Alturki… - IEEE …, 2023 - ieeexplore.ieee.org
Human activity recognition is a challenging and active research topic in computer science
due to its applications in video surveillance, health monitoring, rehabilitation, human-robot …

Cross-Attention Enhanced Pyramid Multi-Scale Networks for Sensor-based Human Activity Recognition

H Pang, L Zheng, H Fang - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Human Activity Recognition (HAR) has recently attracted widespread attention, with the
effective application of this technology helping people in areas such as healthcare, smart …

MFCANN: A feature diversification framework based on local and global attention for human activity recognition

Z Yang, K Li, Z Huang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Human activity recognition (HAR) is a crucial detection technique extensively employed in
various contexts demanding accurate identification of human actions. Currently, mainstream …

A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data

SK Challa, A Kumar, VB Semwal - The Visual Computer, 2022 - Springer
Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …

Wearable Sensor‐Based Human Activity Recognition Using Hybrid Deep Learning Techniques

H Wang, J Zhao, J Li, L Tian, P Tu… - Security and …, 2020 - Wiley Online Library
Human activity recognition (HAR) can be exploited to great benefits in many applications,
including elder care, health care, rehabilitation, entertainment, and monitoring. Many …