Human activity recognition: Review, taxonomy and open challenges

MH Arshad, M Bilal, A Gani - Sensors, 2022 - mdpi.com
Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Human activity recognition data analysis: History, evolutions, and new trends

PP Ariza-Colpas, E Vicario, AI Oviedo-Carrascal… - Sensors, 2022 - mdpi.com
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …

A cybertwin based multimodal network for ecg patterns monitoring using deep learning

W Qi, H Su - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
In next-generation network architecture, the Cybertwin drove the sixth generation of cellular
networks sixth-generation (6G) to play an active role in many applications, such as …

[HTML][HTML] Human activity recognition based on residual network and BiLSTM

Y Li, L Wang - Sensors, 2022 - mdpi.com
Due to the wide application of human activity recognition (HAR) in sports and health, a large
number of HAR models based on deep learning have been proposed. However, many …

GRU-INC: An inception-attention based approach using GRU for human activity recognition

TR Mim, M Amatullah, S Afreen, MA Yousuf… - Expert Systems with …, 2023 - Elsevier
Abstract Human Activity Recognition (HAR) is very useful for the clinical applications, and
many machine learning algorithms have been successfully implemented to achieve high …

Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction

J Li, J Wang, H Peng, L Zhang, Y Hu, H Su - Neurocomputing, 2020 - Elsevier
The accuracy of trajectory tracking and stable operation with heavy load are the main
challenges of parallel mechanism for wheel-legged robots, especially in complex road …

A smartphone-based adaptive recognition and real-time monitoring system for human activities

W Qi, H Su, A Aliverti - IEEE Transactions on Human-Machine …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …

Wearable sensor-based human activity recognition with hybrid deep learning model

YJ Luwe, CP Lee, KM Lim - Informatics, 2022 - mdpi.com
It is undeniable that mobile devices have become an inseparable part of human's daily
routines due to the persistent growth of high-quality sensor devices, powerful computational …

AHAR: Adaptive CNN for energy-efficient human activity recognition in low-power edge devices

N Rashid, BU Demirel… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. This article proposes an …

Recognizing sports activities from video frames using deformable convolution and adaptive multiscale features

L **ao, Y Cao, Y Gai, E Khezri, J Liu… - Journal of Cloud …, 2023 - Springer
Automated techniques for evaluating sports activities inside dynamic frames are highly
dependent on advanced sports analysis by smart machines. The monitoring of individuals …