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Movement

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The Application of Wireless Network-Based Artificial Intelligence Robots in Badminton Teaching and Training.

Computational intelligence and neuroscience
Artificial intelligence technology has already set its foot in various industries, including sports, to train athletes. In this research article, people will study the application of wireless networks based on artificial intelligence robots in badmin...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

Computational intelligence and neuroscience
With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR have been widely used in early childhood education. In the process of the slow development and applica...

Analysis and Correction of Wrong Technical Actions in Juvenile Sports Training Based on Deep Learning.

Computational intelligence and neuroscience
Scientific analysis of students' incorrect actions in class, as well as timely and effective correction, is frequently an important link in the PE process. At the same time, it is an important symbol for assessing a teacher's teaching level and quali...

Long Jump Action Recognition Based on Deep Convolutional Neural Network.

Computational intelligence and neuroscience
Long jump is a test item of national student physical health monitoring, which can reflect the quality of students' lower limb strength. Long jump is a highly technical activity, which includes four basic movements: running aid, jumping, vacating, an...

Analysis of Human Information Recognition Model in Sports Based on Radial Basis Fuzzy Neural Network.

Computational intelligence and neuroscience
In sports, because the movement of the human body is composed of the movements of the human limbs, and the complex and changeable movements of the human limbs lead to various and complicated movement modes of the entire human body, it is not easy to ...

Short report: surgery for implantable brain-computer interface assisted by robotic navigation system.

Acta neurochirurgica
We present an implantable brain-computer interface surgical case assisted by robotic navigation system in an elderly patient with tetraplegia caused by cervical spinal cord injury. Left primary motor cortex was selected for implantation of microelect...

Providing physical relief for nurses by collaborative robotics.

Scientific reports
Manual patient handling is one of the most significant challenges leading to musculoskeletal burden among healthcare workers. Traditional working techniques could be enhanced by innovations that can be individually adapted to the physical capacity of...

Analysis of Main Movement Characteristics of Hip Hop Dance Based on Deep Learning of Dance Movements.

Computational intelligence and neuroscience
In order to explore the main action characteristics of hip hop dance, a deep learning recognition system based on dance action is proposed. The network is based on convolution, pooling, and full connection calculation in a convolutional neural networ...

Research on Theory and a Performance Analysis of an Innovative Rehabilitation Robot.

Sensors (Basel, Switzerland)
This paper presents an innovative application of a 6-DOF robot in the field of rehabilitation training. This robot operates in a parallel fashion for lower limb movement, which adopts a new structure that can help patients to carry out a variety of r...

A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images.

IEEE transactions on bio-medical engineering
Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functions and behaviour. Therefore, movements of distinct anatomical landmarks, such as muscle-tendon junctions, are frequently measured. We propose a relia...