VIRTUAL REALITY DATA GLOVE

MSD1

Group P14546

IntroductionsName Major/Role

Corey Rothfuss Team Leader

Kayla King Mechanical Engineer

Josh Horner Mechanical Engineer

Ryan Dunn Electrical Engineer

David Yoon Electrical Engineer

Matthew Nealon Electrical Engineer

Cody Stevens Electrical Engineer

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 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

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

Customer Requirements

Engineering Requirements

Matrix

Scenarios for use of VRDG The virtual reality data glove will be used

for scenarios such as…Grabbing CatchingHittingEtc…

Benchmarking

CyberGlove II and IIIWirelessly interfaces with computerThree flexion sensors per fingerWireless USB interfaceMotion tracking marker mounting pointActive palm arch sensorMicroSD Card interface

Benchmarking

Soft Curvature sensorsUses a soft film with conductive liquid

channels More natural movement but not as accurate

as classic rigid sensorsOutside the scope of the project

○ Very new technology○ References numerous related papers

Risk Assessment

Project Plan (WK 4-6)

Questions?