Sensing technology for human activity recognition: A comprehensive survey
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …
important to gain knowledge about human activities. Human Activity recognition plays an …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
Human movement datasets: An interdisciplinary scoping review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
A study of the use of gyroscope measurements in wearable fall detection systems
E Casilari, M Álvarez-Marco, F García-Lagos - Symmetry, 2020 - mdpi.com
Due to the serious impact of falls on the quality of life of the elderly and on the economical
sustainability of health systems, the study of new monitoring systems capable of …
sustainability of health systems, the study of new monitoring systems capable of …
Docker-based intelligent fall detection using edge-fog cloud infrastructure
Health sector is a life critical domain, which requires fast and intelligent decisions. Artificial
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …
eHomeSeniors dataset: An infrared thermal sensor dataset for automatic fall detection research
F Riquelme, C Espinoza, T Rodenas, JG Minonzio… - Sensors, 2019 - mdpi.com
Automatic fall detection is a very active research area, which has grown explosively since
the 2010s, especially focused on elderly care. Rapid detection of falls favors early …
the 2010s, especially focused on elderly care. Rapid detection of falls favors early …
A comprehensive survey of various approaches on human fall detection for elderly people
R Parmar, S Trapasiya - Wireless Personal Communications, 2022 - Springer
With the advancement in the healthcare and medicine sector, now a day's average life span
of humans has increased. Due to an increase in average life expectancy, the demographic …
of humans has increased. Due to an increase in average life expectancy, the demographic …
A ubiquitous architecture for wheelchair fall anomaly detection using low-cost embedded sensors and isolation forest algorithm
S Yousuf, MB Kadri - Computers and Electrical Engineering, 2023 - Elsevier
Falls represent one of the major health risk issues world-wide. In this paper, a wheelchair fall
anomaly detection framework based on the hybrid Isolation Forest (IF) and threshold based …
anomaly detection framework based on the hybrid Isolation Forest (IF) and threshold based …
Multimodal human activity recognition for smart healthcare applications
Human Activity Recognition (HAR) has emerged as a potential research topic for smart
healthcare owing to the fast growth of wearable and smart devices in recent years. The …
healthcare owing to the fast growth of wearable and smart devices in recent years. The …
Fast wearable sensor–based foot–ground contact phase classification using a convolutional neural network with sliding-window label overlapping
Classification of foot–ground contact phases, as well as the swing phase is essential in
biomechanics domains where lower-limb motion analysis is required; this analysis is used …
biomechanics domains where lower-limb motion analysis is required; this analysis is used …