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 …
Fall detection paradigm for embedded devices based on YOLOv8
Human-action recognition attempts to determine which deed occurs by people. Owing to the
wide spectrum of human activities, action recognition spans a wide range. Among all, falls …
wide spectrum of human activities, action recognition spans a wide range. Among all, falls …
High-performance lightweight fall detection with an improved YOLOv5s algorithm
The aging population has drastically increased in the past two decades, stimulating the
development of devices for healthcare and medical purposes. As one of the leading …
development of devices for healthcare and medical purposes. As one of the leading …
Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
Human action recognition is a computer vision task that identifies how a person or a group
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …
CAGn: High-Order Coordinated Attention Module for Improving Fall Detection Models
G Chen, S Sun, Y Sun, H Chen… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
In order to quickly and accurately detect the occurrence of accidental falls and save the lives
of more elderly people living alone, this paper proposes a new convolutional network …
of more elderly people living alone, this paper proposes a new convolutional network …
Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction
S McCall, SS Kolawole, A Naz, L Gong… - IEEE …, 2024 - ieeexplore.ieee.org
Falls bring about significant risks to individuals' well-being and independence, prompting
widespread public health concerns. Swift detection and even predicting the risk of falls are …
widespread public health concerns. Swift detection and even predicting the risk of falls are …
Fall Detection for Smart Living using YOLOv5
GA Pereira - arXiv preprint arXiv:2408.15955, 2024 - arxiv.org
This work introduces a fall detection system using the YOLOv5mu model, which achieved a
mean average precision (mAP) of 0.995, demonstrating exceptional accuracy in identifying …
mean average precision (mAP) of 0.995, demonstrating exceptional accuracy in identifying …
Falling People Detection in Real Time Video Using Convolution Neural Network
S Prasomphan, E Suriyachay, S Samonothai… - Science and Information …, 2023 - Springer
Nowadays accidents can happen anywhere, anytime, especially in private areas, houses or
condos. Use of surveillance camera technology and machine learning-based object …
condos. Use of surveillance camera technology and machine learning-based object …