[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population

G Cicirelli, R Marani, A Petitti, A Milella, T D'orazio - Sensors, 2021 - mdpi.com
Over the last decade, there has been considerable and increasing interest in the
development of Active and Assisted Living (AAL) systems to support independent living. The …

Real-time hand gesture recognition based on deep learning YOLOv3 model

A Mujahid, MJ Awan, A Yasin, MA Mohammed… - Applied Sciences, 2021 - mdpi.com
Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …

A SWOT analysis of portable and low-cost markerless motion capture systems to assess lower-limb musculoskeletal kinematics in sport

C Armitano-Lago, D Willoughby… - Frontiers in Sports and …, 2022 - frontiersin.org
Markerless motion capture systems are promising for the assessment of movement in more
real world research and clinical settings. While the technology has come a long way in the …

Detection of sitting posture using hierarchical image composition and deep learning

A Kulikajevas, R Maskeliunas, R Damaševičius - PeerJ computer science, 2021 - peerj.com
Human posture detection allows the capture of the kinematic parameters of the human body,
which is important for many applications, such as assisted living, healthcare, physical …

BiomacVR: A virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors

R Maskeliūnas, R Damaševičius, T Blažauskas… - Electronics, 2023 - mdpi.com
Remote patient monitoring is one of the most reliable choices for the availability of health
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …

[HTML][HTML] Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

ME Issa, AM Helmi, MAA Al-Qaness, A Dahou… - Healthcare, 2022 - mdpi.com
Nowadays, the emerging information technologies in smart handheld devices are motivating
the research community to make use of embedded sensors in such devices for healthcare …

Hel** hearing-impaired in emergency situations: A deep learning-based approach

QM Areeb, M Nadeem, R Alroobaea, F Anwer - IEEE Access, 2022 - ieeexplore.ieee.org
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …

Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions

BMV Guerra, E Torti, E Marenzi, M Schmid… - Frontiers in …, 2023 - frontiersin.org
Ambient Assisted Living is a concept that focuses on using technology to support and
enhance the quality of life and well-being of frail or elderly individuals in both indoor and …

[HTML][HTML] An automated recognition of work activity in industrial manufacturing using convolutional neural networks

J Patalas-Maliszewska, D Halikowski, R Damaševičius - Electronics, 2021 - mdpi.com
The automated assessment and analysis of employee activity in a manufacturing enterprise,
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …

Mahalanobis distance based multivariate outlier detection to improve performance of hypertension prediction

K Dashdondov, MH Kim - Neural Processing Letters, 2023 - Springer
In recent years, the incidence of hypertension diseases has increased dramatically, not only
among the elderly but also among young people. In this regard, the use of machine learning …