Human activity recognition: Review, taxonomy and open challenges
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 …
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …
Human activity recognition data analysis: History, evolutions, and new trends
The Assisted Living Environments Research Area–AAL (Ambient Assisted Living), focuses
on generating innovative technology, products, and services to assist, medical care and …
on generating innovative technology, products, and services to assist, medical care and …
A cybertwin based multimodal network for ecg patterns monitoring using deep learning
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 …
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 …
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 …
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
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 …
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
Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …
guidance for telemedicine and long-term treatment. Machine learning and deep learning …
Wearable sensor-based human activity recognition with hybrid deep learning model
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 …
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
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 …
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 …
dependent on advanced sports analysis by smart machines. The monitoring of individuals …