Human activity recognition in cyber-physical systems using optimized machine learning techniques
Abstract Human Activity Recognition (HAR) is an active research topic as it finds use in
many real-world applications such as health monitoring and biometric user identification …
many real-world applications such as health monitoring and biometric user identification …
Deep CNN hyperparameter optimization algorithms for sensor-based human activity recognition
S Raziani, M Azimbagirad - Neuroscience Informatics, 2022 - Elsevier
Human activity recognition (HAR) is an active field of research for the classification of human
movements and applications in a wide variety of areas such as medical diagnosis, health …
movements and applications in a wide variety of areas such as medical diagnosis, health …
Biometric user identification based on human activity recognition using wearable sensors: An experiment using deep learning models
S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - mdpi.com
Currently, a significant amount of interest is focused on research in the field of Human
Activity Recognition (HAR) as a result of the wide variety of its practical uses in real-world …
Activity Recognition (HAR) as a result of the wide variety of its practical uses in real-world …
Deep learning and model personalization in sensor-based human activity recognition
Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …
automatic techniques for recognizing activities of daily living (ADLs) using signals from …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
A survey of deep learning based models for human activity recognition
NS Khan, MS Ghani - Wireless Personal Communications, 2021 - Springer
Abstract Human Activity Recognition (HAR) is a process of recognizing human activities
automatically based on streaming data obtained from various sensors, such as, inertial …
automatically based on streaming data obtained from various sensors, such as, inertial …
Wearable sensor‐based human activity recognition in the smart healthcare system
Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …
demands in many areas. Applications of HAR include healthcare systems to monitor …
Employment of ensemble machine learning methods for human activity Recognition
The endeavor to detect human activities and behaviors is targeted as a real‐time detection
mechanism that tends to predict the form of human motions and actions. Though sensors …
mechanism that tends to predict the form of human motions and actions. Though sensors …
A survey on human activity recognition using deep learning techniques and wearable sensor data
HAR has attained major attention because of its significant use in real-life scenarios like
activity and fitness monitoring, rehabilitation, gaming, prosthetic limbs, healthcare, smart …
activity and fitness monitoring, rehabilitation, gaming, prosthetic limbs, healthcare, smart …
A review of machine learning-based human activity recognition for diverse applications
Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …
computer science. Due to the articulated nature of human motion, it is not trivial to detect …