[HTML][HTML] Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review

FX Gaya-Morey, C Manresa-Yee, JM Buades-Rubio - Applied Intelligence, 2024 - Springer
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …

[HTML][HTML] Transformer-based fall detection in videos

A Núñez-Marcos, I Arganda-Carreras - Engineering Applications of …, 2024 - Elsevier
Falls pose a major threat for the elderly as they result in severe consequences for their
physical and mental health or even death in the worst-case scenario. Nonetheless, the …

Deep learning model to detect deceptive generative adversarial network generated images using multimedia forensic

H Byeon, M Shabaz, K Shrivastava, A Joshi… - Computers and …, 2024 - Elsevier
Computer-generated imagery has been made more lifelike and misleading by new
Generative Adversarial Network (GAN) models, such as StyleGAN, posing severe risks to …

Anomaly Detection in Smart Houses for Healthcare: Recent Advances, and Future Perspectives

YM Galvão, L Castro, J Ferreira, FBL Neto… - SN Computer …, 2024 - Springer
Nowadays, device monitoring is an activity present in various different environments.
Ranging from monitoring workers in their workplaces, city traffic, surveillance in shops, to …

Visual fall detection from activities of daily living for assistive living

SQ Wahla, MU Ghani - IEEE Access, 2023 - ieeexplore.ieee.org
Health facilities have increased life expectancy, a key factor for the growth of the elderly
population. Elderly people are at increased risk of falls, causing physical and psychological …

Re-purposing Machine Learning Models: A Human Action Recognition Model Turned Violence Detector

L Portela, A Ayala, B Fernandes, I Farias… - 2023 IEEE Latin …, 2023 - ieeexplore.ieee.org
In the era of big data, resource utilization is a critical consideration. This is particularly true in
machine learning and computer vision, where the complexity of images often necessitates …

A Review on Time Series Learning-Based Human Action Recognition

A Goel, B Gupta - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In recent years, the interest in human activity recognition (HAR) has increased due to its
importance in various fields including medicine When time series features are extracted from …