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Reading Robot, Gillian Watts, Andrew Myers, Sabrinna Tan, Taylor Klein, Omeed Djassemi Jun 2020

Reading Robot, Gillian Watts, Andrew Myers, Sabrinna Tan, Taylor Klein, Omeed Djassemi

General Engineering

Presently, there is an insufficient availability of human experts to assist students in reading competency and comprehension. Our team’s goal was to create an improved socially assistive robot for use by therapists, teachers, and parents to help children and adults develop reading skills while they do not have access to specialists. HAPI is a socially assistive robot that we created with the goal of helping students practice their reading comprehension skills. HAPI enables a student to improve their reading skills without an educator present, while enabling educators to review the student's performance remotely. Design constraints included: physical size, weight, duration …


Reaching Performance In Heathy Individuals And Stroke Survivors Improves After Practice With Vibrotactile State Feedback, Valay A. Shah Apr 2020

Reaching Performance In Heathy Individuals And Stroke Survivors Improves After Practice With Vibrotactile State Feedback, Valay A. Shah

Dissertations (1934 -)

Stroke causes deficits of cognition, motor, and/or somatosensory functions. These deficits degrade the capability to perform activities of daily living (ADLs). Many research investigations have focused on mitigating the motor deficits of stroke through motor rehabilitation. However, somatosensory deficits are common and may contribute importantly to impairments in the control of functional arm movement. This dissertation advances the goal of promoting functional motor recovery after stroke by investigating the use of a vibrotactile feedback (VTF) body-machine interface (BMI). The VTF BMI is intended to improve control of the contralesional arm of stroke survivors by delivering supplemental limb-state feedback to the …


Effects Of Weak Electric Fields On Long-Term Synaptic Plasticity, Gregory Kronberg Jan 2020

Effects Of Weak Electric Fields On Long-Term Synaptic Plasticity, Gregory Kronberg

Dissertations and Theses

Transcranial direct current stimulation (tDCS) is a technique where a weak direct electrical current is applied to the scalp with the goal of stimulating the brain. There is tremendous interest in the use of tDCS for treating brain disorders and improving brain function. However, the effects of tDCS have been highly variable across studies, leading to a debate over its efficacy. A major challenge is therefore to design tDCS protocols that yield predictable effects, which will require a better understanding of its basic mechanisms of action. One commonly discussed mechanism is that tDCS may alter synaptic plasticity, but the biophysics …


Portable Sensory Room For The West Orange County Consortium For Special Education, Lindsey Chase, Emma Eskildsen, Alex Fox, Claire Francis, Nate Hoffman, Kaylee Keck, Sarah Sullivan Jun 2016

Portable Sensory Room For The West Orange County Consortium For Special Education, Lindsey Chase, Emma Eskildsen, Alex Fox, Claire Francis, Nate Hoffman, Kaylee Keck, Sarah Sullivan

Biomedical Engineering

This report discusses the development of a Portable Sensory Room to be used at Newland Elementary School in Huntington Beach. Newland Elementary has an exceptional Special Needs program that teaches the children with the most severe cases of autism in its school district. People with autism typically also have sensory processing disorders, which can be extremely disruptive for a child’s development and can make it difficult for a child to be able to concentrate long enough to gain necessary life skills. The idea behind a Sensory Rooms is to create a place to calm the students and to expose them …


Remembering Forward: Neural Correlates Of Memory And Prediction In Human Motor Adaptation, Robert A. Scheidt, Janice Zimbelman, Nicole M.G. Salowitz, Aaron J. Suminski, Kristine M. Mosier, James Houk, Lucia Simo Mar 2015

Remembering Forward: Neural Correlates Of Memory And Prediction In Human Motor Adaptation, Robert A. Scheidt, Janice Zimbelman, Nicole M.G. Salowitz, Aaron J. Suminski, Kristine M. Mosier, James Houk, Lucia Simo

Robert Scheidt

We used functional MR imaging (FMRI), a robotic manipulandum and systems identification techniques to examine neural correlates of predictive compensation for spring-like loads during goal-directed wrist movements in neurologically-intact humans. Although load changed unpredictably from one trial to the next, subjects nevertheless used sensorimotor memories from recent movements to predict and compensate upcoming loads. Prediction enabled subjects to adapt performance so that the task was accomplished with minimum effort. Population analyses of functional images revealed a distributed, bilateral network of cortical and subcortical activity supporting predictive load compensation during visual target capture. Cortical regions – including prefrontal, parietal and hippocampal …


Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt Mar 2015

Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt

Robert Scheidt

We have found, through a series of recent experiments, encouraging evidence that the neuro-motor system is motivated to change motor patterns when exposed to visuo-motor tasks. We have also shown that the learning of these tasks can be heightened with forces and/or visual distortions that appropriately manipulate the error. This process does not require intense concentration and it is often considered a game. We describe the next generation of robotic large-workspace, three dimensional haptics/graphics systems for rehabilitation


Remembering Forward: Neural Correlates Of Memory And Prediction In Human Motor Adaptation, Robert A. Scheidt, Janice Zimbelman, Nicole M.G. Salowitz, Aaron J. Suminski, Kristine M. Mosier, James Houk, Lucia Simo Jan 2012

Remembering Forward: Neural Correlates Of Memory And Prediction In Human Motor Adaptation, Robert A. Scheidt, Janice Zimbelman, Nicole M.G. Salowitz, Aaron J. Suminski, Kristine M. Mosier, James Houk, Lucia Simo

Biomedical Engineering Faculty Research and Publications

We used functional MR imaging (FMRI), a robotic manipulandum and systems identification techniques to examine neural correlates of predictive compensation for spring-like loads during goal-directed wrist movements in neurologically-intact humans. Although load changed unpredictably from one trial to the next, subjects nevertheless used sensorimotor memories from recent movements to predict and compensate upcoming loads. Prediction enabled subjects to adapt performance so that the task was accomplished with minimum effort. Population analyses of functional images revealed a distributed, bilateral network of cortical and subcortical activity supporting predictive load compensation during visual target capture. Cortical regions – including prefrontal, parietal and hippocampal …


Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt Jan 2006

Motivating Rehabilitation By Distorting Reality, James L. Patton, Yejun Wei, Chris Scharver, Robert V. Kenyon, Robert A. Scheidt

Biomedical Engineering Faculty Research and Publications

We have found, through a series of recent experiments, encouraging evidence that the neuro-motor system is motivated to change motor patterns when exposed to visuo-motor tasks. We have also shown that the learning of these tasks can be heightened with forces and/or visual distortions that appropriately manipulate the error. This process does not require intense concentration and it is often considered a game. We describe the next generation of robotic large-workspace, three dimensional haptics/graphics systems for rehabilitation