Radar and RGB-depth sensors for fall detection: A review

E Cippitelli, F Fioranelli, E Gambi… - IEEE Sensors …, 2017‏ - ieeexplore.ieee.org
This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …

[HTML][HTML] Markerless radio frequency indoor monitoring for telemedicine: Gait analysis, indoor positioning, fall detection, tremor analysis, vital signs and sleep …

L di Biase, PM Pecoraro, G Pecoraro, ML Caminiti… - Sensors, 2022‏ - mdpi.com
Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …

[HTML][HTML] A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments

A Jalal, S Kamal, D Kim - Sensors, 2014‏ - mdpi.com
Recent advancements in depth video sensors technologies have made human activity
recognition (HAR) realizable for elderly monitoring applications. Although conventional HAR …

Enlighten wearable physiological monitoring systems: On-body rf characteristics based human motion classification using a support vector machine

Y Geng, J Chen, R Fu, G Bao… - IEEE transactions on …, 2015‏ - ieeexplore.ieee.org
The real-time health monitoring system is a promising body area network application to
enhance the safety of firefighters when they are working in harsh and dangerous …

The state of knowledge on technologies and their use for fall detection: a sco** 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 …

AI trainer: Autoencoder based approach for squat analysis and correction

M Chariar, S Rao, A Irani, S Suresh, CS Asha - IEEE Access, 2023‏ - ieeexplore.ieee.org
Artificial intelligence and computer vision have widespread applications in workout analysis.
It has been extensively used in sports and the athlete industry to identify errors and improve …

Activity recognition for ergonomics assessment of industrial tasks with automatic feature selection

A Malaisé, P Maurice, F Colas… - IEEE Robotics and …, 2019‏ - ieeexplore.ieee.org
In industry, ergonomic assessment is currently performed manually based on the
identification of postures and actions by experts. We aim at proposing a system for automatic …

A gait analysis method based on a depth camera for fall prevention

A Dubois, F Charpillet - … conference of the IEEE engineering in …, 2014‏ - ieeexplore.ieee.org
This paper proposes a markerless system whose purpose is to help preventing falls of
elderly people at home. To track human movements, the Microsoft Kinect camera is used …

Activity recognition with multiple wearable sensors for industrial applications

A Malaisé, P Maurice, F Colas, F Charpillet… - ACHI 2018-Eleventh …, 2018‏ - hal.science
In this paper, we address the problem of recognizing the current activity performed by a
human operator, providing an information useful for automatic ergonomic evaluation for …

Is technology present in frailty? Technology a back-up tool for dealing with frailty in the elderly: a systematic review

I Mugueta-Aguinaga, B Garcia-Zapirain - Aging and disease, 2017‏ - pmc.ncbi.nlm.nih.gov
This study analyzes the technologies used in dealing with frailty within the following areas:
prevention, care, diagnosis and treatment. The aim of this paper is, on the one hand, to …