MSD II Group P14546 Introductions Name Role Corey Rothfuss Team - - PowerPoint PPT Presentation
MSD II Group P14546 Introductions Name 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
MSD II Group P14546
Name 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
Project Overview – Brief Explanation Engineering Requirements Final Design Project Status Testing Results Opportunities for Improvement
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 (our project)
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
Current State
Current techniques use active markers with cameras to track hand motion
Desired State
The project will focus on providing a functional prototype to track hand movement that is lightweight, durable, and relatively inexpensive
The glove will not interfere with user’s natural hand movements
Sensors transmit useable motion data to the computer for analysis
Project Goals
Analyze current designs
Identify opportunities for improvement of benchmarked designs
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Lighter
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Better data rate
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More accurate
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Cheaper
Constraints
Must be able to stay within budget means ($1000)
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
Major Components of the overall system
are functional
Most Engineering Requirements were met in full
Flex Sensors and lightweight glove assembly provides a cost efficient Data Glove
The glove allows more information for hand movements with correlating eye movements in addition to camera markers in the Virtual Reality Environment providing more accurate research
All sensors are functional provide signal in real-time to be processed in python
Awaiting orders for PCB board to make final creation of the glove
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Due by Tuesday 12/9
3000.00 3200.00 3400.00 3600.00 3800.00 4000.00 4200.00 4400.00 20 40 60 80 100 Sensor 1 Sensor 2 Sensor 3 Sensor 4 Sensor 5 Sensor 6 Sensor 7 Sensor 8 Sensor 9
500 1000 1500 2000 2500 3000 3500 4000 4500 2870000 2880000 2890000 2900000 2910000 2920000
6 cm Cylinder
Sensor 2 Sensor 3 Sensor 4 Sensor 5 Sensor 6 Sensor 7 Sensor 8 Sensor 9
Calibration Equation y = -0.0558x2 + 9.6141x + 3288.9 Middle Finger, Main Knuckle Pre-Calibration Middle Finger, Main Knuckle Post-Calibration
Create veins on glove to house wires Gather additional characterization data
now that filtering is functional
Revise signal conditioning circuit board to
use full signal scale
Develop Python-based calibration
calculations
Evaluate other knuckle assembly mounting
solutions
The Budget for this project was $1000
Our team spent around $860 of that budget.
Majority of the purchasing money was used for buying Microcontroller parts, PCBs in a timely fashion, and flex sensors.