Review on human action recognition in smart living: Sensing technology, multimodality, real-time processing, interoperability, and resource-constrained processing
Smart living, a concept that has gained increasing attention in recent years, revolves around
integrating advanced technologies in homes and cities to enhance the quality of life for …
integrating advanced technologies in homes and cities to enhance the quality of life for …
Deep learning approach for human action recognition using a time saliency map based on motion features considering camera movement and shot in video image …
A Alavigharahbagh, V Hajihashemi, JJM Machado… - Information, 2023 - mdpi.com
In this article, a hierarchical method for action recognition based on temporal and spatial
features is proposed. In current HAR methods, camera movement, sensor movement …
features is proposed. In current HAR methods, camera movement, sensor movement …
MOFO: MOtion FOcused Self-Supervision for Video Understanding
M Ahmadian, F Guerin, A Gilbert - arXiv preprint arXiv:2308.12447, 2023 - arxiv.org
Self-supervised learning (SSL) techniques have recently produced outstanding results in
learning visual representations from unlabeled videos. Despite the importance of motion in …
learning visual representations from unlabeled videos. Despite the importance of motion in …
Review on human action recognition in smart living: Multimodality, real-time processing, interoperability, resource-constrained processing, and sensing technology
Smart living, a concept that has gained increasing attention in recent years, revolves around
integrating advanced technologies in homes and cities to enhance the quality of life for …
integrating advanced technologies in homes and cities to enhance the quality of life for …
Depth-based human action recognition using histogram of templates
M Younsi, S Yesli, M Diaf - Multimedia Tools and Applications, 2024 - Springer
In this paper, we propose an efficient, fast, and easy-to-implement method for recognizing
human actions in depth image sequences. In this method, the human body silhouettes are …
human actions in depth image sequences. In this method, the human body silhouettes are …
A Shape-Based Feature Descriptor for Multi-View Human Activity Recognition
M Pandey, R Mishra, A Khare - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In recent decades, Human Activity Recognition (HAR) has become an eminent research
topic due to its application in healthcare, surveillance, sports activity monitoring, etc. Despite …
topic due to its application in healthcare, surveillance, sports activity monitoring, etc. Despite …