AIMC Topic: Movement

Clear Filters Showing 291 to 300 of 1059 articles

Neurorobotics and neuroprostheses: Towards a new anatomy.

Anatomical record (Hoboken, N.J. : 2007)
The idea of this Special Issue arose from the technological advances in bionic, robotic, and neural rehabilitation systems and the common need to comprehend in detail how human anatomical structures can be replicated or controlled. Motor control theo...

An interpretable machine learning approach to multimodal stress detection in a simulated office environment.

Journal of biomedical informatics
BACKGROUND AND OBJECTIVE: Work-related stress affects a large part of today's workforce and is known to have detrimental effects on physical and mental health. Continuous and unobtrusive stress detection may help prevent and reduce stress by providin...

Volleyball Movement Standardization Recognition Model Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Artificial intelligence and deep learning have attracted much attention from researchers in industry and academia. The volleyball movement standardization and recognition model involve the application of artificial intelligence and deep learning. In ...

A Flexible Pressure Sensor Based on Silicon Nanomembrane.

Biosensors
With advances in new materials and technologies, there has been increasing research focused on flexible sensors. However, in most flexible pressure sensors made using new materials, it is challenging to achieve high detection sensitivity across a wid...

WMNN: Wearables-Based Multi-Column Neural Network for Human Activity Recognition.

IEEE journal of biomedical and health informatics
In recent years, human activity recognition (HAR) technologies in e-health have triggered broad interest. In literature, mainstream works focus on the body's spatial information (i.e. postures) which lacks the interpretation of key bioinformatics ass...

Non Linear Control System for Humanoid Robot to Perform Body Language Movements.

Sensors (Basel, Switzerland)
In social robotics, especially with regard to direct interactions between robots and humans, the robotic movements of the body, arms and head must make an adequate displacement to guarantee an adequate interaction, both from a functional and social p...

Humanlike spontaneous motion coordination of robotic fingers through spatial multi-input spike signal multiplexing.

Nature communications
With advances in robotic technology, the complexity of control of robot has been increasing owing to fundamental signal bottlenecks and limited expressible logic state of the von Neumann architecture. Here, we demonstrate coordinated movement by a fu...

Electroencephalography Reflects User Satisfaction in Controlling Robot Hand through Electromyographic Signals.

Sensors (Basel, Switzerland)
This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We designed a robot control system using electromyography signals. In each trial, participants were expos...

A Systematic Analysis of 3D Deformation of Aging Breasts Based on Artificial Neural Networks.

International journal of environmental research and public health
The measurement and prediction of breast skin deformation are key research directions in health-related research areas, such as cosmetic and reconstructive surgery and sports biomechanics. However, few studies have provided a systematic analysis on t...

Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.

Sensors (Basel, Switzerland)
(1) Background: The success of physiotherapy depends on the regular and correct unsupervised performance of movement exercises. A system that automatically evaluates these exercises could increase effectiveness and reduce risk of injury in home based...