AI Medical Compendium Journal:
Frontiers in neurorobotics

Showing 1 to 10 of 12 articles

A scalable multi-modal learning fruit detection algorithm for dynamic environments.

Frontiers in neurorobotics
INTRODUCTION: To enhance the detection of litchi fruits in natural scenes, address challenges such as dense occlusion and small target identification, this paper proposes a novel multimodal target detection method, denoted as YOLOv5-Litchi.

3D convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery EEG signal.

Frontiers in neurorobotics
Non-invasive brain-computer interfaces (BCI) hold great promise in the field of neurorehabilitation. They are easy to use and do not require surgery, particularly in the area of motor imagery electroencephalography (EEG). However, motor imagery EEG s...

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol.

Frontiers in neurorobotics
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain stability or even revert to cog...

Weighted residual network for SAR automatic target recognition with data augmentation.

Frontiers in neurorobotics
INTRODUCTION: Decades of research have been dedicated to overcoming the obstacles inherent in synthetic aperture radar (SAR) automatic target recognition (ATR). The rise of deep learning technologies has brought a wave of new possibilities, demonstra...

Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.

Frontiers in neurorobotics
The human factor plays a key role in the automotive field since most accidents are due to drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal with this concern: in the short term, there is the development of s...

Harmonizing minds and machines: survey on transformative power of machine learning in music.

Frontiers in neurorobotics
This survey explores the symbiotic relationship between Machine Learning (ML) and music, focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere. Beginning with a historical contextualization of the intertwined traje...

Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices.

Frontiers in neurorobotics
Mental stress has been identified as the root cause of various physical and psychological disorders. Therefore, it is crucial to conduct timely diagnosis and assessment considering the severe effects of mental stress. In contrast to other health-rela...

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks.

Frontiers in neurorobotics
Robotic leg prostheses and exoskeletons can provide powered locomotor assistance to older adults and/or persons with physical disabilities. However, the current locomotion mode recognition systems being developed for automated high-level control and ...

Eye-Tracking Feature Extraction for Biometric Machine Learning.

Frontiers in neurorobotics
CONTEXT: Eye tracking is a technology to measure and determine the eye movements and eye positions of an individual. The eye data can be collected and recorded using an eye tracker. Eye-tracking data offer unprecedented insights into human actions an...

Learning to Predict Perceptual Distributions of Haptic Adjectives.

Frontiers in neurorobotics
When humans touch an object with their fingertips, they can immediately describe its tactile properties using haptic adjectives, such as hardness and roughness; however, human perception is subjective and noisy, with significant variation across indi...