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Charles G. Burgar

dblp:49/6491 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 77% Haptics and multimodal interaction · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology
assistive technology
0.012000
Control Strategies for a Split-Wheel Car-Steering Simulator for Upper Limb Stroke Therapy · ICRA 2000
Haptics and multimodal interaction
haptic interaction
0.012000
Control Strategies for a Split-Wheel Car-Steering Simulator for Upper Limb Stroke Therapy · ICRA 2000

Methods — techniques the papers use, named apart from their topics

force measurement · 0.0control algorithm · 0.0
YearPublicationVenuePosition
2000 Control Strategies for a Split-Wheel Car-Steering Simulator for Upper Limb Stroke Therapy
abstract
The need for effective and low-cost ways of facilitating upper limb therapy for individuals recovering from stroke has led to the Driver's Simulation Environment for Arm Therapy (Driver's SEAT). This assistive device is an upper limb one-degree-of-freedom robotic therapy device that incorporates a modified PC-based driving simulator. This paper describes the novel use of a driving simulator to implement an upper limb bimanual exercise task and presents control algorithms that use torque feedback as a method of encouraging the preferential use of one limb over another. The key feature is a split steering wheel, which allows us to measure the tangential forces applied to the wheel by the subjects' impaired and unimpaired upper limbs independently. We present experimental results to show Driver's SEAT's ability to measure bilateral forces and quantify tracking performance.
Michelle J. Johnson, H. F. Machiel Van der Loos, Charles G. Burgar, Peggy Shor, Larry J. Leifer
ICRA3