AIMC Topic: Posture

Clear Filters Showing 71 to 80 of 259 articles

System Based on Artificial Intelligence Edge Computing for Detecting Bedside Falls and Sleep Posture.

IEEE journal of biomedical and health informatics
Bedside falls and pressure ulcers are crucial issues in geriatric care. Although many bedside monitoring systems have been proposed, they are limited by the computational complexity of their algorithms. Moreover, most of the data collected by the sen...

Machine learning based canine posture estimation using inertial data.

PloS one
The aim of this study was to design a new canine posture estimation system specifically for working dogs. The system was composed of Inertial Measurement Units (IMUs) that are commercially available, and a supervised learning algorithm which was deve...

Ergonomic investigations on novel dynamic postural estimator using blaze pose and transfer learning.

Ergonomics
The aim is to develop a computer-based assessment model for novel dynamic postural evaluation using RULA. The present study proposed a camera-based, three-dimensional (3D) dynamic human pose estimation model using 'BlazePose' with a data set of 50,00...

Visual Gait Analysis Based on UE4.

Sensors (Basel, Switzerland)
With the development of artificial intelligence technology, virtual reality technology has been widely used in the medical and entertainment fields, as well as other fields. This study is supported by the 3D modeling platform in UE4 platform technolo...

Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning.

Human factors
OBJECTIVE: This study aims to improve workers' postures and thus reduce the risk of musculoskeletal disorders in human-robot collaboration by developing a novel model-free reinforcement learning method.

Diagnostic posture control system for seated-style echocardiography robot.

International journal of computer assisted radiology and surgery
PURPOSE: Conventional robotic ultrasound systems were utilized with patients in supine positions. Meanwhile, the limitation of the systems is that it is difficult to evacuate the patients in case of emergency (e.g., patient discomfort and system fail...

Automated postural asymmetry assessment in infants neurodevelopmental evaluation using novel video-based features.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Neurodevelopmental assessment enables the identification of infant developmental disorders in the first months of life. Thus, the appropriate therapy can be initiated promptly, increasing the chances for correct motor functi...

A 3-DoF robotic platform for the rehabilitation and assessment of reaction time and balance skills of MS patients.

PloS one
The central nervous system (CNS) exploits anticipatory (APAs) and compensatory (CPAs) postural adjustments to maintain the balance. The postural adjustments comprising stability of the center of mass (CoM) and the pressure distribution of the body in...

In-Bed Posture Classification Using Deep Neural Network.

Sensors (Basel, Switzerland)
In-bed posture monitoring has become a prevalent area of research to help minimize the risk of pressure sore development and to increase sleep quality. This paper proposed 2D and 3D Convolutional Neural Networks, which are trained on images and video...

Quantification of Comfort for the Development of Binding Parts in a Standing Rehabilitation Robot.

Sensors (Basel, Switzerland)
Human-machine interfaces (HMI) refer to the physical interaction between a user and rehabilitation robots. A persisting excessive load leads to soft tissue damage, such as pressure ulcers. Therefore, it is necessary to define a comfortable binding pa...