Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
[HTML][HTML] The methods of fall detection: A literature review
Fall Detection Systems (FDS) are automated systems designed to detect falls experienced
by older adults or individuals. Early or real-time detection of falls may reduce the risk of …
by older adults or individuals. Early or real-time detection of falls may reduce the risk of …
Channel attention for sensor-based activity recognition: embedding features into all frequencies in DCT domain
During recent years, channel attention has attracted great interest in deep learning
community. Despite significant success, it has been rarely exploited in ubiquitous human …
community. Despite significant success, it has been rarely exploited in ubiquitous human …
Robust fall detection in video surveillance based on weakly supervised learning
Fall event detection has been a research hotspot in recent years in the fields of medicine
and health. Currently, vision-based fall detection methods have been considered the most …
and health. Currently, vision-based fall detection methods have been considered the most …
Visionary vigilance: Optimized YOLOV8 for fallen person detection with large-scale benchmark dataset
Falls pose a significant risk to elderly people, patients with diseases such as neurological
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …
Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
Semantic segmentation-based system for fall detection and post-fall posture classification
Fall is one of the most critical issues faced by elders in their daily life. The consequences of
falls range from fatal injuries, severe injuries to no injuries. Therefore, an effective system for …
falls range from fatal injuries, severe injuries to no injuries. Therefore, an effective system for …
Robust grey wolf optimizer for multimodal optimizations: a cross-dimensional coordination approach
B Wang, L Liu, Y Li, M Khishe - Journal of Scientific Computing, 2022 - Springer
This paper proposes a variant of the Gray Wolf Optimizer (GWO) called the Cross-
Dimensional Coordination Gray Wolf Optimizer (CDCGWO), which utilizes a novel learning …
Dimensional Coordination Gray Wolf Optimizer (CDCGWO), which utilizes a novel learning …
Video-based fall detection using human pose and constrained generative adversarial network
Falls are a major health threat for older people. A timely assistance can reduce the extent of
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …
Human centric attention with deep multiscale feature fusion framework for activity recognition in Internet of Medical Things
Recent advancements in the Internet of Medical Things (IoMT) have revolutionized the
healthcare sector, making it an active research area in the academic and industrial sectors …
healthcare sector, making it an active research area in the academic and industrial sectors …