[HTML][HTML] Ambient assisted living: a review of technologies, methodologies and future perspectives for healthy aging of population
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 …
development of Active and Assisted Living (AAL) systems to support independent living. The …
Real-time hand gesture recognition based on deep learning YOLOv3 model
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 …
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 …
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 …
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
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 …
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
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 …
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
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …
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
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 …
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 …
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 …
among the elderly but also among young people. In this regard, the use of machine learning …