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Published byLisa Harmon Modified over 9 years ago
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MSD1 Group P14546
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Introductions NameMajor/Role Corey RothfussTeam Leader Kayla KingMechanical Engineer Josh HornerMechanical Engineer Ryan DunnElectrical Engineer David YoonElectrical Engineer Matthew NealonElectrical Engineer Cody StevensElectrical Engineer
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Agenda Introductions Project Overview Problem Statement & Deliverables Desired State Stakeholder(s) Customer Needs Engineering Requirements Matrix Use Scenarios Benchmarking Risk Assessment Project Plan
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P14546 Problem Statement Virtual Reality is used to simulate 3D environments using multiple cameras, sensors, and immersive displays Most people know it from video games but it can be used for research applications Relate eye movements to their corresponding body movements Training in specialized tasks Healthcare Current techniques use markers in combination with cameras to track hand motion In some positions, markers are occluded from optical view, resulting in missing data points The objective of this project is to create a glove that collects data aquired from the hand’s movements without the use of motion cameras
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Project Deliverables The project will focus on providing a functional prototype that is lightweight, durable, and relatively inexpensive The glove will not interfere with user’s natural hand movements Sensors transmit motion data to the computer for analysis Instruction manual for repairs and operation of the glove
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Desired State http://www.neurostim.ru/main.html
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Stakeholder(s) Primary Customer: Gabriel Diaz Contact: Gabriel.Diaz@rit.edu 585-317-3595Gabriel.Diaz@rit.edu Secondary Customer: Susan Farnard Contact: Farnard@cis.rit.edu 585-475-4567Farnard@cis.rit.edu Faculty Guide: Ed Hanzlik Contact: echeee@rit.edu 585-475-7428echeee@rit.edu Sponsor (financial support): RIT
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Customer Requirements
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Engineering Requirements
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Matrix
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Scenarios for use of VRDG The virtual reality data glove will be used for scenarios such as… Grabbing Catching Hitting Etc…
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Benchmarking CyberGlove II and III Wirelessly interfaces with computer Three flexion sensors per finger Wireless USB interface Motion tracking marker mounting point Active palm arch sensor MicroSD Card interface
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Benchmarking Soft Curvature sensors Uses a soft film with conductive liquid channels More natural movement but not as accurate as classic rigid sensors Outside the scope of the project ○ Very new technology ○ References numerous related papers
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Risk Assessment
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Project Plan (WK 4-6)
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Questions?
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