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MSD1 Group P14546. Virtual Reality Data Glove. Introductions. 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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MSD1 Group P14546 Virtual Reality Data Glove
Agenda • Introductions • Project Overview • Problem Statement & Deliverables • Desired State • Stakeholder(s) • Customer Needs • Engineering Requirements • Matrix • Use Scenarios • Benchmarking • Risk Assessment • Project Plan
P14546 Problem Statement • Virtual Reality is used to simulate 3D environmentsusing 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
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
Desired State http://www.neurostim.ru/main.html
Stakeholder(s) • Primary Customer: Gabriel Diaz • Contact: Gabriel.Diaz@rit.edu 585-317-3595 • Secondary Customer: Susan Farnard • Contact: Farnard@cis.rit.edu 585-475-4567 • Faculty Guide: Ed Hanzlik • Contact: echeee@rit.edu 585-475-7428 • Sponsor (financial support): RIT
Scenarios for use of VRDG • The virtual reality data glove will be used for scenarios such as… • Grabbing • Catching • Hitting • Etc…
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
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