Fall detection and fall risk assessment in older person using wearable sensors: A systematic review

P Bet, PC Castro, MA Ponti - International journal of medical informatics, 2019 - Elsevier
Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

New advances and challenges of fall detection systems: A survey

T Xu, Y Zhou, J Zhu - Applied Sciences, 2018 - mdpi.com
Falling, as one of the main harm threats to the elderly, has drawn researchers' attentions and
has always been one of the most valuable research topics in the daily health-care for the …

Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
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 …

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 …

In-home older adults' activity pattern monitoring using depth sensors: A review

MS Momin, A Sufian, D Barman, P Dutta, M Dong… - Sensors, 2022 - mdpi.com
The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …

Dynamic fall detection using graph-based spatial temporal convolution and attention network

R Egawa, ASM Miah, K Hirooka, Y Tomioka, J Shin - Electronics, 2023 - mdpi.com
The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …

IR-UWB sensor based fall detection method using CNN algorithm

T Han, W Kang, G Choi - Sensors, 2020 - mdpi.com
Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …

Human activity recognition based on non-contact radar data and improved PCA method

Y Zhao, H Zhou, S Lu, Y Liu, X An, Q Liu - Applied Sciences, 2022 - mdpi.com
Human activity recognition (HAR) can effectively improve the safety of the elderly at home.
However, non-contact millimeter-wave radar data on the activities of the elderly is often …

Multi-sensor data fusion and cnn-lstm model for human activity recognition system

H Zhou, Y Zhao, Y Liu, S Lu, X An, Q Liu - Sensors, 2023 - mdpi.com
Human activity recognition (HAR) is becoming increasingly important, especially with the
growing number of elderly people living at home. However, most sensors, such as cameras …

Fall detection approaches for monitoring elderly healthcare using Kinect technology: a survey

M Fayad, MY Hachani, K Ghoumid, A Mostefaoui… - Applied Sciences, 2023 - mdpi.com
The severity of falls increases with age and reduced mobility. Falls are a frequent source of
domestic accidents and accidental death on the part of fragile people. They produce …