Geriatric care management system powered by the IoT and computer vision techniques
The digitalisation of geriatric care refers to the use of emerging technologies to manage and
provide person-centered care to the elderly by collecting patients' data electronically and …
provide person-centered care to the elderly by collecting patients' data electronically and …
3D PostureNet: A unified framework for skeleton-based posture recognition
Image-based posture recognition is a very challenging problem as it is difficult to acquire
rich 3D information from postures in 2D images. Existing methods founded on 3D skeleton …
rich 3D information from postures in 2D images. Existing methods founded on 3D skeleton …
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
Driver Posture Recognition: A Review
AS Mahomed, AK Saha - IEEE Access, 2024 - ieeexplore.ieee.org
Driver Posture Recognition Systems (DPRS) are indispensable for advancement in vehicle
safety by tracking driver posture using sensors and cameras. These systems monitor the …
safety by tracking driver posture using sensors and cameras. These systems monitor the …
[HTML][HTML] A survey on artificial intelligence in posture recognition
Over the years, the continuous development of new technology has promoted research in
the field of posture recognition and also made the application field of posture recognition …
the field of posture recognition and also made the application field of posture recognition …
Robust Human Pose Estimation and Action Recognition Over Multi-level Perceptron
M Hanzla, W Wahid, A Jalal - 2024 3rd International …, 2024 - ieeexplore.ieee.org
This research proposes a novel method that combines human pose estimation (HPE) and
sustainable event classification (SEC), focusing on skeleton and context-aware feature …
sustainable event classification (SEC), focusing on skeleton and context-aware feature …
Deep learning of human posture image classification using convolutional neural networks
AR Rababaah - International Journal of Computing Science …, 2022 - inderscienceonline.com
In this paper a study of deep learning applied to human posture image classification using
convolutional neural networks (CNNs) is presented. Typical computer vision workflow …
convolutional neural networks (CNNs) is presented. Typical computer vision workflow …
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Real-Time Posture Detection to Prevent Sciatica, Kyphosis, Lordosis
PV Satish, M Belwal - IoT Based Control Networks and Intelligent Systems …, 2022 - Springer
People must incorporate a “work from home” strategy because of the COVID-19 outbreak. In
today's pandemic situation, due to working from home, employees are working for long …
today's pandemic situation, due to working from home, employees are working for long …
Classification of Desk Workers' Behaviors for a Service Robot
T Rianthong, W Chonnaparamutt… - 2022 19th …, 2022 - ieeexplore.ieee.org
Currently, many people are working their works at a desk at an office or their homes, and
work is the one problem that makes humans stressed. A service robot is the one type of …
work is the one problem that makes humans stressed. A service robot is the one type of …
Study and Analysis of Machine Learning Techniques for Detection of Distracted Drivers
F Qu - 2024 - search.proquest.com
Abstract The rise of Advanced Driver-Assistance Systems (ADAS) and Autonomous Vehicles
(AVs) emphasizes the urgent need to combat distracted driving. This study introduces a …
(AVs) emphasizes the urgent need to combat distracted driving. This study introduces a …