AIMC Topic: Virtual Reality
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EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.
IEEE transactions on neural networks and learning systems
Jan 10, 2019
Driver fatigue evaluation is of great importance for traffic safety and many intricate factors would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of multichannel electroencephalogram (EEG) signals, we develop a no...
Apps, Avatars, and Robots: The Future of Mental Healthcare.
Issues in mental health nursing
Jan 3, 2019
From artificial intelligence, predictive analytics and biometric sensors, to advanced robotics, virtual reality and mobile applications, rapid advances in technology are transforming the design, delivery and experience of mental healthcare. This pape...
Self-selected speed gait training in Parkinson's disease: robot-assisted gait training with virtual reality versus gait training on the ground.
European journal of physical and rehabilitation medicine
Oct 29, 2018
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disability. Although robot-assisted gait training (RAGT) using the Lokomat device has been demonstrated to improve gait in PD, it is not clear what the best...
Self-debriefing Model Based on an Integrated Video-Capture System: An Efficient Solution to Skill Degradation.
Journal of surgical education
Oct 4, 2018
OBJECTIVE: Video-based teaching is considered highly effective in debriefing, especially in minimally invasive surgeries. In this study, the benefits of using a new integrated video recording system, were investigated and compared to those of the sta...
An Orthopaedic Robotic-Assisted Rehabilitation Method of the Forearm in Virtual Reality Physiotherapy.
Journal of healthcare engineering
Aug 1, 2018
The use of robotic rehabilitation in orthopaedics has been briefly explored. Despite its possible advantages, the use of computer-assisted physiotherapy of patients with musculoskeletal injuries has received little attention. In this paper, we detail...
Upper Extremity
Male
Physical Therapy Modalities
Wrist Joint
Aged, 80 and over
Middle Aged
User-Computer Interface
Elbow Joint
Young Adult
Stroke Rehabilitation
Exercise
Virtual Reality
Adult
Orthopedics
Pilot Projects
Principal Component Analysis
Humans
Feedback
Robotics
Computers
Female
Aged
Equipment Design
Calibration
Stress, Mechanical
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization.
IEEE transactions on neural networks and learning systems
Jun 4, 2018
Inspired by the behavior of humans talking in noisy environments, we propose an embodied embedded cognition approach to improve automatic speech recognition (ASR) systems for robots in challenging environments, such as with ego noise, using binaural ...
Development of a Laparoscopic Box Trainer Based on Open Source Hardware and Artificial Intelligence for Objective Assessment of Surgical Psychomotor Skills.
Surgical innovation
May 29, 2018
BACKGROUND: A trainer for online laparoscopic surgical skills assessment based on the performance of experts and nonexperts is presented. The system uses computer vision, augmented reality, and artificial intelligence algorithms, implemented into a R...
Reshaping Movement Distributions With Limit-Push Robotic Training.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 21, 2018
High-cost situations need to be avoided. However, occasionally, cost may only be learned by experience. Here, we tested whether an artificially induced unstable and invisible high-cost region, a "limit-push" force field, might reshape people's motion...
Robot Assisted Surgical Ward Rounds: Virtually Always There.
Journal of innovation in health informatics
May 2, 2018
While an explosion in technological sophistication has revolutionized surgery within the operating theatre, delivery of surgical ward-based care has seen little innovation. Use of telepresence allowing off-site clinicians communicate with patients ...
A Machine Learning Approach to the Detection of Pilot's Reaction to Unexpected Events Based on EEG Signals.
Computational intelligence and neuroscience
Apr 10, 2018
This work considers the problem of utilizing electroencephalographic signals for use in systems designed for monitoring and enhancing the performance of aircraft pilots. Systems with such capabilities are generally referred to as cognitive cockpits. ...
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