AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Movement

Showing 331 to 340 of 998 articles

Clear Filters

Motion Recognition Based on Deep Learning and Human Joint Points.

Computational intelligence and neuroscience
In order to solve the problem that the traditional feature extraction methods rely on manual design, the research method is changed from the traditional method to the deep learning method based on convolutional neural networks. The experimental resul...

A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space.

IEEE transactions on neural networks and learning systems
In a small operational space, e.g., mesoscale or microscale, we need to control movements carefully because of fragile objects. This article proposes a novel structure based on spiking neural networks to imitate the joint function of multiple brain r...

Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot.

Sensors (Basel, Switzerland)
Human Machine Interfaces (HMI) principles are for the development of interfaces for assistance or support systems in physiotherapy or rehabilitation processes. One of the main problems is the degree of customization when applying some rehabilitation ...

Hypertuned Deep Convolutional Neural Network for Sign Language Recognition.

Computational intelligence and neuroscience
Sign language plays a pivotal role in the lives of impaired people having speaking and hearing disabilities. They can convey messages using hand gesture movements. American Sign Language (ASL) recognition is challenging due to the increasing intra-cl...

Development and Experimental Studies of an Identification Method of Kinematic Parameters for Industrial Robots without External Measuring Instruments.

Sensors (Basel, Switzerland)
This paper proposes a method for the identification of kinematic parameters of multilink series industrial robots, which does not require the use of complex and expensive equipment for high-precision external measurements of the position and orientat...

Anthropomorphic Robotic Eyes: Structural Design and Non-Verbal Communication Effectiveness.

Sensors (Basel, Switzerland)
This paper shows the structure of a mechanical system with 9 DOFs for driving robot eyes, as well as the system's ability to produce facial expressions. It consists of three subsystems which enable the motion of the eyeballs, eyelids, and eyebrows in...

Decoding finger movement patterns from microscopic neural drive information based on deep learning.

Medical engineering & physics
Recent development of surface electromyogram (sEMG) decomposition technique provides a good basis of decoding movements from individual motor unit (MU) activities that directly representing microscopic neural drives. How to interpret the function and...

Vision-Based Learning from Demonstration System for Robot Arms.

Sensors (Basel, Switzerland)
Robotic arms have been widely used in various industries and have the advantages of cost savings, high productivity, and efficiency. Although robotic arms are good at increasing efficiency in repetitive tasks, they still need to be re-programmed and ...

Efficient quantitative assessment of robot swarms: coverage and targeting Lévy strategies.

Bioinspiration & biomimetics
Biologically inspiredhave long been adapted to swarm robotic systems, including biased random walks, reaction to chemotactic cues and long-range coordination. In this paper we applydeveloped for modeling biological systems, such as continuum descript...

Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.

Scientific data
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pock...