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Task Performance and Analysis

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A Robot with an Augmented-Reality Display for Functional Capacity Evaluation and Rehabilitation of Injured Workers.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Occupational rehabilitation is an integral part of the recovery process for workers who have sustained injuries at the workplace. It often requires the injured worker to engage in functional tasks that simulate the workplace environment to help regai...

Semi-Autonomous Tongue Control of an Assistive Robotic Arm for Individuals with Quadriplegia.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Individuals suffering from quadriplegia can achieve increased independence by using an assistive robotic manipulator (ARM). However, due to their disability, the interfaces that can be used to operate such devices become limited. A versatile intraora...

Semi-supervised learning of a nonnative phonetic contrast: How much feedback is enough?

Attention, perception & psychophysics
Semi-supervised learning refers to learning that occurs when feedback about performance is provided on only a subset of training trials. Algorithms for semi-supervised learning are popular in machine learning because of their minimal reliance on labe...

Quantifying upper extremity performance with and without assistance of a soft-robotic glove in elderly patients: A kinematic analysis.

Journal of rehabilitation medicine
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.

gazeNet: End-to-end eye-movement event detection with deep neural networks.

Behavior research methods
Existing event detection algorithms for eye-movement data almost exclusively rely on thresholding one or more hand-crafted signal features, each computed from the stream of raw gaze data. Moreover, this thresholding is largely left for the end user. ...

Superstitious Perception: Comparing Perceptual Prediction by Humans and Neural Networks.

Current topics in behavioral neurosciences
Recent developments in convolutional neural networks (CNNs) have introduced new ways to model the complex processes of human vision. To date, the comparison of human vision and CNNs has focused on internal representations (i.e., receptive fields), wi...

Design, analysis and performance evaluation of a hand gesture platform for navigation.

Technology and health care : official journal of the European Society for Engineering and Medicine
Prevailing technological solutions that address the problems that are experienced by the infirm and elderly people in terms of locomotion needs, offer limited options when it comes to control mechanism and customization. For more than a decade, joyst...

Human-Machine Interface Degree of Freedom Effects on Performance in Space Telerobotics.

Aerospace medicine and human performance
There are many potential human-machine interfaces for controlling complex robotics. However, restrictions in hardware, software, or human capability may pose limits on the input device degrees-of-freedom (DOF). This study examined effects on operati...

Scanpath modeling and classification with hidden Markov models.

Behavior research methods
How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, ca...