Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
A review of deep learning-based human activity recognition on benchmark video datasets
Different types of research have been done on video data using Artificial Intelligence (AI)
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
A federated learning system with enhanced feature extraction for human activity recognition
With the rapid growth of mobile devices, wearable sensor-based human activity recognition
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
(HAR) has become one of the hottest topics in the Internet of Things. However, it is …
Attention induced multi-head convolutional neural network for human activity recognition
ZN Khan, J Ahmad - Applied soft computing, 2021 - Elsevier
Deep neural networks, including convolutional neural networks (CNNs), have been widely
adopted for human activity recognition in recent years. They have attained significant …
adopted for human activity recognition in recent years. They have attained significant …
[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
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 …
A multichannel CNN-GRU model for human activity recognition
L Lu, C Zhang, K Cao, T Deng, Q Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the important research areas in pervasive
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
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 …
Dense and long-term monitoring of earth surface processes with passive RFID—a review
Abstract Billions of Radio-Frequency Identification (RFID) passive tags are produced yearly
to identify goods remotely. New research and business applications are continuously …
to identify goods remotely. New research and business applications are continuously …
The state-of-the-art sensing techniques in human activity recognition: A survey
Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …
decade because of the pervasive user scenarios and the overwhelming development of …