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 …

Sensor technologies for fall detection systems: A review

A Singh, SU Rehman, S Yongchareon… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Acoustic beamforming algorithms and their applications in environmental noise

G Licitra, F Artuso, M Bernardini, A Moro… - Current Pollution …, 2023 - Springer
Abstract Purpose of Review Rather than broadly investigating the beamforming field, the
present work has the distinctive feature of analyzing the most common algorithms through …

A skeleton-free fall detection system from depth images using random decision forest

A Abobakr, M Hossny, S Nahavandi - IEEE Systems Journal, 2017 - ieeexplore.ieee.org
Interest in enhancing medical services and healthcare is emerging exploiting recent
technological capabilities. An integrable fall detection sensor is an essential component …

Automated health alerts using in-home sensor data for embedded health assessment

M Skubic, RD Guevara, M Rantz - IEEE journal of translational …, 2015 - ieeexplore.ieee.org
We present an example of unobtrusive, continuous monitoring in the home for the purpose
of assessing early health changes. Sensors embedded in the environment capture behavior …

Impact of sampling rate on wearable-based fall detection systems based on machine learning models

KC Liu, CY Hsieh, SJP Hsu, CT Chan - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Falls are a leading health risk for the elderly. Various wearable-based fall detection systems
based on machine learning models have been developed to provide emergency alarms and …

Real-time detection of fall from bed using a single depth camera

F Zhao, Z Cao, Y Xiao, J Mao… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Toward the medical and living healthcare for the elderly and patients, fall from bed is a
critical accident that may lead to serious injuries. To alleviate this, an essential problem is to …

The state of knowledge on technologies and their use for fall detection: A scoping review

N Lapierre, N Neubauer, A Miguel-Cruz… - International journal of …, 2018 - Elsevier
Background Globally, populations are aging with increasing life spans. The normal aging
process and the resulting disabilities increase fall risks. Falls are an important cause of …

Innovative head-mounted system based on inertial sensors and magnetometer for detecting falling movements

CL Lin, WC Chiu, TC Chu, YH Ho, FH Chen, CC Hsu… - Sensors, 2020 - mdpi.com
This work presents a fall detection system that is worn on the head, where the acceleration
and posture are stable such that everyday movement can be identified without disturbing the …

Fuzzy inference-based fall detection using kinect and body-worn accelerometer

B Kwolek, M Kepski - Applied Soft Computing, 2016 - Elsevier
In this paper, we present a new approach for reliable fall detection. The fuzzy system
consists of two input Mamdani engines and a triggering alert Sugeno engine. The output of …