An unsupervised method to recognise human activity at home using non-intrusive sensors

R Gómez-Ramos, J Duque-Domingo, E Zalama… - Electronics, 2023 - mdpi.com
As people get older, living at home can expose them to potentially dangerous situations
when performing everyday actions or simple tasks due to physical, sensory or cognitive …

Human activity identification system for video database using deep learning technique

RK Yadav, SG Neogi, VB Semwal - SN Computer Science, 2023 - Springer
This paper proposes a deep learning-based computation model for different activity
recognition. The Motion Video dataset (MoVi) investigates human activity recognition. The …

Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings

J Dridi, M Amayri, N Bouguila - Journal of Building Engineering, 2024 - Elsevier
Smart buildings rely on estimating the number of occupants and recognizing their behaviors
to provide several benefits such as energy efficiency, HVAC (Heating, Ventilation, and Air …

Motion Signal-based Recognition of Human Activity from Video Stream Dataset Using Deep Learning Approach

RK Yadav, D Arockiam… - Recent Advances in …, 2024 - ingentaconnect.com
Background: Human physical activity recognition is challenging in various research eras,
such as healthcare, surveillance, senior monitoring, athletics, and rehabilitation. The use of …

Cognitive Classifier of Hand Gesture Images for Automated Sign Language Recognition: Soft Robot Assistance Based on Neutrosophic Markov Chain Paradigm

M Al-Saidi, Á Ballagi, OA Hassen, SM Saad - Computers, 2024 - mdpi.com
In recent years, Sign Language Recognition (SLR) has become an additional topic of
discussion in the human–computer interface (HCI) field. The most significant difficulty …

Smarter Aging: Developing A Foundational Elderly Activity Monitoring System with AI and GUI Interface

Y Htet, TT Zin, P Tin, H Tamura, K Kondo… - IEEE …, 2024 - ieeexplore.ieee.org
The global rise in the elderly population, which presents challenges to healthcare systems
owing to labor shortages in caregiving facilities, necessitates innovative solutions for elderly …

“Intelligent Systems for Clinical Care and Remote Patient Monitoring”

G Sannino, A Celesti, I De Falco - Sensors, 2023 - mdpi.com
The year 2020 was definitely like no other. COVID-19 shut down the world, and its spread
and resulting impact led to a global crisis of unprecedented reach and proportion. This virus …

The dynamic impact of regional construction industry economy, energy and carbon emissions based on HMM

G Zhou, Z Fu, Y Liu, Z He, M Cai… - International Journal of …, 2024 - inderscienceonline.com
Aiming at the uncertainty of the internal correlation between economic growth, energy
consumption and carbon emissions in regional construction industry, a dynamic impact …

Unsupervised Human Activity Recognition Approach in Multi-User Households

R Gómez-Ramos, J Duque-Domingo, E Zalama… - Available at SSRN … - papers.ssrn.com
As people get older, living at home can expose them to potentially dangerous situations
when performing everyday actions or simple tasks due to physical, sensory or cognitive …