Wearable sensor systems for fall risk assessment: A review

S Subramaniam, AI Faisal, MJ Deen - Frontiers in digital health, 2022 - frontiersin.org
Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Developing smart buildings to reduce indoor risks for safety and health of the elderly: A systematic and bibliometric analysis

F Zhang, APC Chan, D Li - Safety science, 2023 - Elsevier
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 …

A systematic review of wearable sensor-based technologies for fall risk assessment in older adults

M Chen, H Wang, L Yu, EHK Yeung, J Luo, KL Tsui… - Sensors, 2022 - mdpi.com
Falls have been recognized as the major cause of accidental death and injury in people
aged 65 and above. The timely prediction of fall risks can help identify older adults prone to …

Fall risk assessment using wearable sensors: a narrative review

RN Ferreira, NF Ribeiro, CP Santos - Sensors, 2022 - mdpi.com
Recently, fall risk assessment has been a main focus in fall-related research. Wearable
sensors have been used to increase the objectivity of this assessment, building on the …

Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review

J Bezold, J Krell-Roesch, T Eckert, D Jekauc… - European review of aging …, 2021 - Springer
Background Higher age and cognitive impairment are associated with a higher risk of falling.
Wearable sensor technology may be useful in objectively assessing motor fall risk factors to …

Artificial Intelligence and IoT in Elderly Fall Prevention: A Review

D Mohan, DZ Al-Hamid, PHJ Chong… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Globally, the number of falls among the elderly is rising, particularly among those 60 and
older. An important contributing element to these falls is the fact that elderly people who live …

Machine learning prediction of fall risk in older adults using timed up and go test kinematics

V Roshdibenam, GJ Jogerst, NR Butler, S Baek - Sensors, 2021 - mdpi.com
Falls among the elderly population cause detrimental physical, mental, financial problems
and, in the worst case, death. The increasing number of people entering the higher risk age …

Wearable sensor-based prediction model of timed up and go test in older adults

J Choi, SM Parker, BA Knarr, Y Gwon, JH Youn - Sensors, 2021 - mdpi.com
The Timed Up and Go (TUG) test has been frequently used to assess the risk of falls in older
adults because it is an easy, fast, and simple method of examining functional mobility and …

Privacy-preserved fall detection method with three-dimensional convolutional neural network using low-resolution infrared array sensor

S Tateno, F Meng, R Qian, Y Hachiya - Sensors, 2020 - mdpi.com
Due to the rapid aging of the population in recent years, the number of elderly people in
hospitals and nursing homes is increasing, which results in a shortage of staff. Therefore, the …

Rhythmic cueing, dance, resistance training, and Parkinson's disease: A systematic review and meta-analysis

CC Karpodini, PC Dinas, E Angelopoulou… - Frontiers in …, 2022 - frontiersin.org
Objectives The aim of the present systematic review and meta-analysis was to synthesize
evidence associated with the functional and clinical effectiveness of rhythmic cueing, dance …