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Report
ASLLENGE
He Zhou
Hui Zheng
William Mai
Xiang Guo
Advisor: Professor Patrick Kelly
Department of Electrical and Computer Engineering
Outline
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Background
System Requirements
Design Challenges
System Overview
Hardware and Software
Team Roles
Timeline
Q/A
Department of Electrical and Computer Engineering
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Background
 Leverage Kinect technology to recognize and
offer feedback on American Sign Language
 ASL is the one of most commonly used language
in US(.5 to 2 million population use ASL as their
primary form of communication)
 Educational learning tool for ASL
Department of Electrical and Computer Engineering
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Motivation
 Helping hearing impaired people to learn ASL.
 Facilitate communication between ASL speaker
and non-speaker
Department of Electrical and Computer Engineering
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System Requirements
 Create a user-friendly interface that recognize
sign language and offer feedback
• Software must be easy to use
 Display translated word or phase being
demonstrated by user
• Provide quality feedback to user concerning
the accuracy of ASL
 Cost should be within the budget
Department of Electrical and Computer Engineering
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Design Challenges
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Human Factors
Background Interferences
Finger Gestures
Hardware limitation
• Kinect only has 320x240 resolution and 16 bit
depth
Department of Electrical and Computer Engineering
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Kinect
 Has a depth and regular Camera
 Associated with software development kit
• Able to track a human being.
• Use computer generated algorithms
to form human skeleton data points
 Track upper body movements
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System Overview
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Video demonstration(Hand Rotation)
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Video demonstration(Hand Crossing)
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Video demonstration(Hand behind Head)
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Video demonstration(Hand behind Back)
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Hardware Implementation 1
 Increasing the flex sensor
output voltage with bend
 Voltage output goes into
an AD converter board
 AD converter digitizes the
output signal
 PC captures the signal via
USB or Bluetooth
Department of Electrical and Computer Engineering
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Hardware Implementation 2
 Kinect Camera captures the raw image and the
depth image data
 The data send to PC to be processed into skeleton
tracker
 Combining the signal from flex sensor and search
in database for matching motions
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Software Design Flow
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Development Model
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Cost of Major Components
Name of
Component
Flex
Sensor
A/D
Converter
Board
A Pair of
Gloves
Kinect
Sensor
Bluetooth
Module
Quantities
10
1
1
1
1
Unit Price
$12
$50
$10
$150
$20
Total Price
Department of Electrical and Computer Engineering
$350
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Team Roles
 He - test and integrate software prototype
 Hui- image processing and programming
 William - build microcontroller to detect finger
and palm movements
 Xiang- website, overall testing and building ASL
database
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MDR deliverables
The goal for our MDR is to be able to detect and
track arm and hand positions, possibly be able to
translate simple hand gestures
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Conclusion
Our project is good for SDP:
• Contains both hardware and software
• Expandable: database, audio recognition, braile
Our project is a good product:
• Aid the disabled people
• Personal/commercial use
• Relatively inexpensive
Department of Electrical and Computer Engineering
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Timeline
10/16/2011
12/5/2011
1/24/2012
3/14/2012
5/3/2012
PDR
Purchase Parts
Planning
GUI
Interface with the Sensors
Build Finger Sensors
Build Test Database
Prototype 1
MileStone MDR Deliverables
System Integration
Winter Break
Expand Database
Prototype 2
MileStone CDR Deliverables
Alpha Testing
Update
Beta Testing
Spring Break
Finalize Project
MileStone FRP Deliverables
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Q&A
Department of Electrical and Computer Engineering
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