Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review
E Ramanujam, T Perumal… - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Human Activity Recognition (HAR) is a field that infers human activities from raw time-series
signals acquired through embedded sensors of smartphones and wearable devices. It has …
signals acquired through embedded sensors of smartphones and wearable devices. It has …
Elderly fall detection systems: A literature survey
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …
growing aging population, there is an urgent need for the development of fall detection …
UP-fall detection dataset: A multimodal approach
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …
detection systems can mitigate negative consequences of falls. Among the important …
Activity-aware fall detection and recognition based on wearable sensors
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …
most costly treatments, which usually extends to a long time. One bad fall can cause severe …
Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis
As aging problem gets severe, more elderly people require better residences to support their
later lives. Considering complicated safety and health risks the elderly would encounter …
later lives. Considering complicated safety and health risks the elderly would encounter …
Pathway of trends and technologies in fall detection: a systematic review
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
Online fall detection using recurrent neural networks on smart wearable devices
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …
Deep learning based systems developed for fall detection: a review
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …
elderly. Accidental falls also have a remarkable impact on the costs of national health …
Vision-based fall detection using st-gcn
O Keskes, R Noumeir - IEEE Access, 2021 - ieeexplore.ieee.org
Falls are a growing issue in society and has become a hot topic in the healthcare domain.
Falls are more likely to occur to due to age or health problems such as cardiovascular issues …
Falls are more likely to occur to due to age or health problems such as cardiovascular issues …