HCIInterfaceForStroke

dc.contributor.authorTodd, Jacksonen
dc.date.accessioned2023-05-11T14:08:46Zen
dc.date.available2023-05-11T14:08:46Zen
dc.date.issued2023-05-10en
dc.description.abstractThe Robotics and Sensorimotor Control Laboratory (RoSenCo), led by Dr. Netta Gurari, in the Department of Biomedical Engineering and Mechanics, is dedicated to conducting neurological research with stroke survivors. Stroke is a leading cause of disability worldwide, and RoSenCo aims to contribute to the development of treatments by studying the effects of stroke on tactile perception. RoSenCo researchers have designed a series of experiments to advance their goals, and this project focuses on developing software to facilitate these experiments in a flexible and expandable manner. The software, known as RoSenCo Experiment Manager (RoSenCoExMan), has been implemented to control actuators and collect data from sensors at a rate of 1600Hz. It also provides real-time graphing of selected data streams, displays text-to-speech-powered audio-visual instructions for participants, and saves collected data in the required format for subsequent analysis. RoSenCoExMan is written in Python, utilizing various libraries for implementing features such as graphing, hardware access, and text-to-speech capabilities. The software employs multi-processing techniques to achieve the required performance. Opportunities for future work include extending the audio-visual participant feedback functionality to enable experiments utilizing more dynamic visuals, and the addition of a graphical user interface.en
dc.description.notesHCIinterfaceForStrokeReport.pdf - PDF version of final report HCIinterfaceForStrokeReport.zip - Zip of Overleaf project version of final report HCIinterfaceForStrokePresentation.pptx - PowerPoint version of final presentation HCIinterfaceForStrokePresentation.pdf - PDF version of final presentation HCIinterfaceForStrokeCode.zip - Zip file with project codeen
dc.identifier.urihttp://hdl.handle.net/10919/115015en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectNeuroscienceen
dc.subjectPythonen
dc.subjectStrokeen
dc.subjectMagnetic Resonance Imagingen
dc.subjectText to speechen
dc.subjectPneumaticsen
dc.subjectReal-time plottingen
dc.titleHCIInterfaceForStrokeen
dc.typePresentationen
dc.typeReporten
dc.typeOtheren

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