AIMC Topic: Man-Machine Systems
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Feedback for reinforcement learning based brain-machine interfaces using confidence metrics.
Journal of neural engineering
Feb 27, 2017
OBJECTIVE: For brain-machine interfaces (BMI) to be used in activities of daily living by paralyzed individuals, the BMI should be as autonomous as possible. One of the challenges is how the feedback is extracted and utilized in the BMI. Our long-ter...
A mathematical model for the two-learners problem.
Journal of neural engineering
Feb 22, 2017
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine.
Reduction of Assessment Time for Stroke-Related Impairments Using Robotic Evaluation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Feb 16, 2017
Robotic technologies can provide objective, reliable tools for assessing a broad range of sensory, motor and cognitive functions. However, as additional tasks are developed on these platforms, the time necessary to assess a patient increases. In this...
Robotic Arm-Assisted Sonography: Review of Technical Developments and Potential Clinical Applications.
AJR. American journal of roentgenology
Feb 8, 2017
OBJECTIVE: Ultrasound imaging requires trained personnel. Advances in robotics and data transmission create the possibility of telesonography. This review introduces clinicians to current technical work in and potential applications of this developin...
Enhanced Hazard Analysis and Risk Assessment for Human-in-the-Loop Systems.
Human factors
Feb 1, 2017
OBJECTIVE: The objective of this study was to enhance the existing system hazard analysis (SHA) technique by introducing the concepts of human and automation reliability quantification as well as fuzzy classification of system risks. These enhancemen...
[Artificial intelligence in the field of internal medicine].
La Revue de medecine interne
Jan 25, 2017
Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.
Journal of neural engineering
Jan 9, 2017
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently ...
Local and Remote Cooperation With Virtual and Robotic Agents: A P300 BCI Study in Healthy and People Living With Spinal Cord Injury.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 23, 2016
The development of technological applications that allow people to control and embody external devices within social interaction settings represents a major goal for current and future brain-computer interface (BCI) systems. Prior research has sugges...
Using Contact Forces and Robot Arm Accelerations to Automatically Rate Surgeon Skill at Peg Transfer.
IEEE transactions on bio-medical engineering
Dec 2, 2016
OBJECTIVE: Most trainees begin learning robotic minimally invasive surgery by performing inanimate practice tasks with clinical robots such as the Intuitive Surgical da Vinci. Expert surgeons are commonly asked to evaluate these performances using st...
Kinesthetic Feedback During 2DOF Wrist Movements via a Novel MR-Compatible Robot.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 1, 2016
We demonstrate the interaction control capabilities of the MR-SoftWrist, a novel MR-compatible robot capable of applying accurate kinesthetic feedback to wrist pointing movements executed during fMRI. The MR-SoftWrist, based on a novel design that co...
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