AIMC Topic: Movement
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Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.
JAMA network open
Jul 1, 2022
IMPORTANCE: Early identification of cerebral palsy (CP) is important for early intervention, yet expert-based assessments do not permit widespread use, and conventional machine learning alternatives lack validity.
Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data features.
PloS one
Jun 30, 2022
Communication interventions have broadened from dialogical meaning-making, assessment approaches, to remote-controlled interactive objects. Yet, interpretation of the mostly pre-or protosymbolic, distinctive, and idiosyncratic movements of children w...
Step Climbing Control of Snake Robot with Prismatic Joints.
Sensors (Basel, Switzerland)
Jun 29, 2022
The ultimate goal of this research study is to perform continuous rather than sequential movements of prismatic joints for effective motion of a snake robot with prismatic joints in a complex terrain. We present herein a control method for robotic st...
Aesthetic Characteristics of Dance Based on Few-Shot Learning and Neural Networks.
Computational intelligence and neuroscience
Jun 29, 2022
Dance is constantly discovering truth, goodness, and beauty in human social life, spreading truth, goodness, and beauty, and fully expressing the artistic pursuit of dance beauty. It shapes different dance images, expresses the aesthetic consciousnes...
An Optical Fiber Sensing Method for Measuring the Surface Flatness of an Object.
Computational intelligence and neuroscience
Jun 27, 2022
Sensing of data or object is a mature research domain where intelligent devices, may possibly be embedded with the artificial intelligence-based techniques, are placed in the closed vicinity of the object or phenomenon. This sensing activity becomes ...
A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.
Sensors (Basel, Switzerland)
Jun 24, 2022
Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of ambulation and gait. However, the ability to perform these motions can be severely impaired by different factors, such as the occurrence of a stroke,...
Analysis of Neural Network Based Proportional Myoelectric Hand Prosthesis Control.
IEEE transactions on bio-medical engineering
Jun 17, 2022
OBJECTIVE: We show that state-of-the-art deep neural networks achieve superior results in regression-based multi-class proportional myoelectric hand prosthesis control than two common baseline approaches, and we analyze the neural network mapping to ...
Methods of Generating Emotional Movements and Methods of Transmitting Behavioral Intentions: A Perspective on Human-Coexistence Robots.
Sensors (Basel, Switzerland)
Jun 17, 2022
The purpose of this paper is to introduce and discuss the following two functions that are considered to be important in human-coexistence robots and human-symbiotic robots: the method of generating emotional movements, and the method of transmitting...
Technical Note: Quantifying music-dance synchrony during salsa dancing with a deep learning-based 2D pose estimator.
Journal of biomechanics
Jun 8, 2022
Dance interventions hold promise for improving gait and balance in people with neurological conditions. It is possible that synchronization of movement to the music is one of the mechanisms through which dance bestows physical benefits. This technica...
The Application of Wireless Network-Based Artificial Intelligence Robots in Badminton Teaching and Training.
Computational intelligence and neuroscience
Jun 2, 2022
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...
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