Noninvasive human activity recognition using millimeter-wave radar

C Yu, Z Xu, K Yan, YR Chien, SH Fang… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …

Methods for the real-world evaluation of fall detection technology: A sco** review

RW Broadley, J Klenk, SB Thies, LPJ Kenney… - Sensors, 2018 - mdpi.com
Falls in older adults present a major growing healthcare challenge and reliable detection of
falls is crucial to minimise their consequences. The majority of development and testing has …

Deepfall: Non-invasive fall detection with deep spatio-temporal convolutional autoencoders

J Nogas, SS Khan, A Mihailidis - Journal of Healthcare Informatics …, 2020 - Springer
Human falls rarely occur; however, detecting falls is very important from the health and
safety perspective. Due to the rarity of falls, it is difficult to employ supervised classification …

Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats

J Dahmen, DJ Cook, X Wang, W Honglei - Journal of reliable intelligent …, 2017 - Springer
Smart home design has undergone a metamorphosis in recent years. The field has evolved
from designing theoretical smart home frameworks and performing scripted tasks in …

[PDF][PDF] Fall detection from thermal camera using convolutional lstm autoencoder

J Nogas, SS Khan, A Mihailidis - … of the 2nd workshop on aging …, 2018 - academia.edu
Human falls occur very rarely; this makes it difficult to employ supervised classification
techniques. Moreover, the sensing modality used must preserve the identity of those being …

[HTML][HTML] An analytical comparison of datasets of real-world and simulated falls intended for the evaluation of wearable fall alerting systems

E Casilari, CA Silva - Measurement, 2022 - Elsevier
Automatic Fall detection is one of the most promising applications of wearables in the field of
mobile health. The characterization of the effectiveness of wearable fall detectors is …

Fall detection system on smart Walker based on multisensor data fusion and SPRT method

DM Ding, YG Wang, W Zhang, Q Chen - IEEE Access, 2022 - ieeexplore.ieee.org
Traditional walkers are commonly used for the elderly in social life, which solves the basic
problem of walking, but it is difficult to ensure safety when a fall occurs, and the human …

Design of a smart sole with advanced fall detection algorithm

M Zitouni, Q Pan, D Brulin, E Campo - Journal of Sensor Technology, 2019 - scirp.org
Fall has become the second leading cause of unintentional injury, death, after road traffic
injuries, for the elderly in Europe. This proportion will increase in the next decades and …

Issues of human activity recognition in healthcare

EC Dinarević, JB Husić… - 2019 18th international …, 2019 - ieeexplore.ieee.org
Human activity recognition substantiates itself as a useful tool applicable in many smart
assistive technologies. Gathering, evaluating, and analyzing data in order to recognize …

[HTML][HTML] Reduction of time on the ground related to real-time video detection of falls in memory care facilities: observational study

E Bayen, S Nickels, G **ong, J Jacquemot… - Journal of medical …, 2021 - jmir.org
Background Lying on the floor for a long period of time has been described as a critical
determinant of prognosis following a fall. In addition to fall-related injuries due to the trauma …