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Bambi R. Brewer

dblp:22/6217 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
3 papers
Health and well-being technologies · 67% Haptics and multimodal interaction · 33%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › rehabilitation technology
rehabilitation robotics
0.232006
Visual-Feedback Distortion in a Robotic Rehabilitation Environment · Proc. IEEE 2006
Enhanced Visual Error in a Coordinated Pinch Task · ICRA 2006
Effects of Visual Feedback Distortion for the Elderly and the Motor-impaired in a Robotic Rehabilitation Environment · ICRA 2004
Haptics and multimodal interaction
sensory feedback
0.112006
Visual-Feedback Distortion in a Robotic Rehabilitation Environment · Proc. IEEE 2006
Health and well-being technologies › rehabilitation
motor rehabilitation
0.012006
Visual-Feedback Distortion in a Robotic Rehabilitation Environment · Proc. IEEE 2006
Haptics and multimodal interaction › haptic perception
force perception
0.012004
Effects of Visual Feedback Distortion for the Elderly and the Motor-impaired in a Robotic Rehabilitation Environment · ICRA 2004

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

just noticeable difference measurement · 0.1visual distortion · 0.1
YearPublicationVenuePosition
2006 Enhanced Visual Error in a Coordinated Pinch Task
abstract
Our previous work has shown that visual distortion of subject-controlled goals can be used to manipulate force production and movement distance. Thus, visual distortion may be a helpful addition to robotic rehabilitation for brain-injured and stroke patients. In this work, we investigated the effects of distortion on unimpaired subjects learning a two-finger coordinated pinch task. Rather than distorting the subject's goal, we enhanced the apparent error attributable to one or both fingers. Distortion affected the distribution of attention between the two fingers; when the error enhancement was given to one finger, the performance of that finger improved relative to the other. This result indicates that enhanced visual error could be used to manipulate the performance and the coordination pattern between fingers to achieve desired movements during rehabilitation
Bambi R. Brewer, Roberta L. Klatzky, Yoky Matsuoka
ICRA1
2006 Visual-Feedback Distortion in a Robotic Rehabilitation Environment
abstract
We create a robotic rehabilitation environment that distorts the visual feedback of a movement representation to restore lost movements. The use of visual-feedback distortion produces a perceptual gap between the perceived (visual) and actual somatosensory experiences, in which movements can be manipulated without patients' knowledge. Previously, we reported the smallest amount of distortion that is imperceptible by measuring just noticeable difference (JND), the distortion size that is tolerable without detection, and the invariance of perceived physical effort under visual-feedback distortion. In this paper, we report the performance changes under visual-feedback distortion in a robotic rehabilitation environment. By interleaving trials with no visual feedback, we showed that the internal somatosensory representation of the movement goal changed along with visual distortion for unimpaired and motor-impaired subjects. In addition, a gradual change of visual-feedback distortion within one experiment allowed movement changes significantly larger than the JND. These changes were robust under sudden lack of visual feedback and even when subjects were informed of possible distortion ahead of time. Finally, preliminary results of a six-week rehabilitation paradigm are reported. Improvements in the patient's hand condition were found, particularly in the range of motion of the index and middle fingers
Bambi R. Brewer, Roberta L. Klatzky, Yoky Matsuoka
Proc. IEEE1
2004 Effects of Visual Feedback Distortion for the Elderly and the Motor-impaired in a Robotic Rehabilitation Environment
abstract
In order to design a robotic rehabilitation environment using visual feedback distortion, we investigated in this study the limits and effects of visual feedback distortion for the elderly and the motor-impaired. To determine the minimum imperceptible amount of visual distortion, we measured the Just Noticeable Differences (JNDs) for force and position for elderly, unimpaired subjects; values of 31.0% (0.619 N) and 16.1% (5.01 mm), respectively, were obtained. JNDs of 46.0% (0.920 N) and 45.0% (14.8 mm) were measured for a motor-impaired individual. These JNDs were larger than corresponding measurements previously taken with young subjects, showing a decrease in discrimination ability with age and impairment. Visual distortion based on these values caused elderly subjects and the motor-impaired individual to increase their force production levels by 72.5% and 97.7%, respectively. These results were similar to those obtained with young subjects, but differences were observed on interspersed trials with no visual feedback. Poor discrimination abilities in elderly and impaired subjects and visual dominance in our environment for this subject group support our hypothesis that visual distortion can be an effective tool for rehabilitation in a robotic environment.
Bambi R. Brewer, Roberta L. Klatzky, Yoky Matsuoka
ICRA1