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 …

Fuzzy logic in surveillance big video data analysis: comprehensive review, challenges, and research directions

K Muhammad, MS Obaidat, T Hussain, JD Ser… - ACM computing …, 2021 - dl.acm.org
CCTV cameras installed for continuous surveillance generate enormous amounts of data
daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent …

[HTML][HTML] Occupant behavior monitoring and emergency event detection in single-person households using deep learning-based sound recognition

J Kim, K Min, M Jung, S Chi - Building and Environment, 2020 - Elsevier
The number of single-person households (SPHs) has been consistently increasing owing to
various social issues, such as separation by death, declining marriage rate, and increasing …

The effects of housing environments on the performance of activity-recognition systems using Wi-Fi channel state information: An exploratory study

H Lee, CR Ahn, N Choi, T Kim, H Lee - Sensors, 2019 - mdpi.com
Recently, device-free human activity–monitoring systems using commercial Wi-Fi devices
have demonstrated a great potential to support smart home environments. These systems …

Full respiration rate monitoring exploiting doppler information with commodity wi-fi devices

C Dou, H Huan - Sensors, 2021 - mdpi.com
Respiration rate is an essential indicator of vital signs, which can demonstrate the
physiological condition of the human body and provide clues to some diseases. Commercial …

Contactless fall detection for the elderly

MJA Nahian, MH Raju, Z Tasnim, M Mahmud… - … Human Activity Analysis, 2021 - Springer
Early fall detection imposes a challenge for preventing life-threatening conditions to the
health in geriatrics. As per the World Health Organization, around that half of total elderly …

Construction of an aggregated fall detection model utilizing a microwave Doppler sensor

K Nishio, T Kaburagi, Y Hamada… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Fall accidents are serious problems, especially for elderly people living alone. This is why
many fall event detection methods have been proposed in the past. When constructing …

Mitigation of CSI temporal phase rotation with B2B calibration method for fine-grained motion detection analysis on commodity Wi-Fi devices

N Keerativoranan, A Haniz, K Saito, J Takada - Sensors, 2018 - mdpi.com
Limitations of optical devices for motion sensing such as small coverage, sensitivity to
obstacles, and privacy exposure result in the need for improvement. As motion sensing …

[PDF][PDF] Pathway of Trends and Technologies in Fall Detection: A Systematic Review. Healthcare 2022, 10, 172

R Tanwar, N Nandal, M Zamani, AA Manaf - Cybersecurity and the …, 2022 - core.ac.uk
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 …

A 3D Non‐Stationary Channel Model with Moving Mobile Station in Rectangular Tunnel

Z Ren, F Zhang, G Zheng, A Saleem… - International Journal of …, 2019 - Wiley Online Library
This paper presents a three‐dimensional (3D) geometry‐based stochastic model (GBSM) for
capturing the non‐stationarity of radio channel at 1.8 GHz in a rectangular tunnel. A time …