AIMC Topic: Psychomotor Performance
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Sparse Ensemble Machine Learning to Improve Robustness of Long-Term Decoding in iBMIs.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 27, 2019
This paper presents a novel sparse ensemble based machine learning approach to enhance robustness of intracortical Brain Machine Interfaces (iBMIs) in the face of non-stationary distribution of input neural data across time. Each classifier in the en...
Haptic Exploration During Fast Video Playback: Vibrotactile Support for Event Search in Robot Operation Videos.
IEEE transactions on haptics
Dec 10, 2019
Fast playback allows quick video exploration, but it also decreases the saliency of short events. We propose a haptic exploration for detection of short events during fast video playback, considering that event-related information in vibrotactile fee...
Decoding and mapping task states of the human brain via deep learning.
Human brain mapping
Dec 9, 2019
Support vector machine (SVM)-based multivariate pattern analysis (MVPA) has delivered promising performance in decoding specific task states based on functional magnetic resonance imaging (fMRI) of the human brain. Conventionally, the SVM-MVPA requir...
A Bayesian Shared Control Approach for Wheelchair Robot With Brain Machine Interface.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Dec 6, 2019
To enhance the performance of the brain-actuated robot system, a novel shared controller based on Bayesian approach is proposed for intelligently combining robot automatic control and brain-actuated control, which takes into account the uncertainty o...
A versatile robotic platform for the design of natural, three-dimensional reaching and grasping tasks in monkeys.
Journal of neural engineering
Dec 5, 2019
OBJECTIVE: Translational studies on motor control and neurological disorders require detailed monitoring of sensorimotor components of natural limb movements in relevant animal models. However, available experimental tools do not provide a sufficient...
The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Nov 21, 2019
Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning properties, individual and ...
A machine learning algorithm successfully screens for Parkinson's in web users.
Annals of clinical and translational neurology
Nov 12, 2019
OBJECTIVE: To develop, apply, and evaluate, a novel web-based classifier for screening for Parkinson disease among a large cohort of search engine users.
Haptic Material Analysis and Classification Inspired by Human Exploratory Procedures.
IEEE transactions on haptics
Nov 8, 2019
We present a framework for the acquisition and parametrization of object material properties. The introduced acquisition device, denoted as Texplorer2, is able to extract surface material properties while a human operator is performing exploratory pr...
Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 30, 2019
Assistive robotic arms have become popular to help users with upper limb disabilities achieve autonomy in their daily tasks, such as drinking and grasping objects in general. Usually, these robotic arms are controlled with an adapted joystick. Joysti...
Attribution of intentional agency towards robots reduces one's own sense of agency.
Cognition
Oct 29, 2019
In the presence of others, sense of agency (SoA), i.e. the perceived relationship between our own actions and external events, is reduced. The present study aimed at investigating whether the phenomenon of reduced SoA is observed in human-robot inter...
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