UP-fall detection dataset: A multimodal approach

L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor… - Sensors, 2019 - mdpi.com
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …

Activity Classification and Fall Detection Using Monocular Depth and Motion Analysis

S Mobsite, N Alaoui, M Boulmalf, M Ghogho - IEEE Access, 2023 - ieeexplore.ieee.org
In the realm of senior care, falls remain the primary cause of hospitalization and mortality.
Early detection can facilitate timely medical interventions and mitigate the associated risks …

An energy-efficient multi-tier architecture for fall detection on smartphones

MA Guvensan, AO Kansiz, NC Camgoz, HI Turkmen… - Sensors, 2017 - mdpi.com
Automatic detection of fall events is vital to providing fast medical assistance to the causality,
particularly when the injury causes loss of consciousness. Optimization of the energy …

A data science approach for reliable classification of neuro-degenerative diseases using gait patterns

H Alaskar, AJ Hussain, W Khan, H Tawfik… - Journal of Reliable …, 2020 - Springer
Neuro-degenerative diseases (NDD) continue to increase globally and have significant
impact on health, developmental and financial fronts. Recent studies have shown that gait …

CampusFall: A Multi-Perspective Indoor and Outdoor Fall Detection Dataset Based on Campus Surveillance

M Gu, Y Wang, J Bai, Z Chen… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Falls, a common type of accident, especially among the elderly and those with mobility
impairments, potentially leading to serious physical injuries and health issues. Fall detection …

Development of a GPU-based human emotion recognition robot eye for service robot by using convolutional neural network

E Appuhamy, B Madhusanka - 2018 IEEE/ACIS 17th …, 2018 - ieeexplore.ieee.org
Service robots can be used widely to assist elderly and disable population due to the lack of
caregivers in future. Real-time human tracking, detection, focusing and implementing …

[引用][C] Vision-based human activities recognition in supervised or assisted environment

DR Beddiar, B Nini - 2022 - Université De Larbi Ben M'hidi Oum …