Fivepoint VoicetureSign Language Translator

Bridging the communication gap

Vision statement

To become the world leader in sign language translation products

About Us

● four engineering students (4th year) from SFU

– Ganesh Swami (President and CEO)

– David Brayden (VP, R&D)

– Phoenix Yuan (COO)

– Kjell Eggen (CTO)

Agenda

● Problem overview● Voiceture solution overview● Design Implementation● Market analysis● Business model● Product demonstration

Problem• communication between a deaf/mute person and an English speaking person

• deaf and mute people depend on translators

Solution

● Integrated hardware and software solution

● Innovative algorithms

● Economical● Portable

System OverviewUser

Data Input Glove

Sensor Electronics

Computer Analysis System

User Interface

Key Features● Adaptive● Platform portable● Requires minimal

setup

System Implementation

Sensor PCB

Main Software flow

Technology

● bend sensors– Strain gauge– One per finger

detect finger position

– economical– reliable– Low profile

Technology

● sophisticated pattern recognition algorithm

● gaussian statistics

● adapts to the users specific gestures

● 7D statistical sample space

Detection AlgorithmStart

Create an index(0 = A, 1 = B, etc):

i = 0

Calculate the 7-D distance (d) from

letterData[i]

Increment i

Subtract a factor from the letter bin:

letterCounter[i] =- factor

Is the distance less than radius[i]

Calculate a Gaussian factor:

gFactor = exp( d^2 / (2 * radius[i]^2) )

Add the Gaussian factor to the letter bin:

letterCounter += gFactor

Is the letter bin enough to be output:

letterCounter > Threshold?

Are all the letters scanned:i = 26?

Output the letter:Result = letter[i]

Output nothing:Result = “noMatch”

Exit

Y N

N

Y

Y

N

Was letter[i] output in the last two

seconds

Reset all binsAll letterCounter = 0

N

Y

Business model

● Product– Marketable product for sign language

translation– One time non-recurring cost ($400-$500)

● technology licensing– Customized solutions to meet specific

customer needs (i.e. teaching institutions)

Market position

● Segmentation– teaching aid– replaces human

translator (up to $70USD/hr!)

● Competition– image recognition

(not including English)

Languages in the US

SpanishFrenchASLItalianChinese

Project Cost

Timeline

Prototype Status● 16 / 24 letters with greater than ~80% accuracy● remaining letters working with less accuracy

● resolution of the glove not to specifications● thumb sensor not sufficient

Voiceture Demo

Bridging the communication gap

Conclusion

● unique solution to a real world problem

Conclusion

● unique solution to a real world problem● first of its kind

Conclusion

● unique solution to a real world problem● first of its kind● practical and economical

Conclusion

● unique solution to a real world problem● first of its kind● practical and economical● enrich the lives of many people

Fivepoint VoicetureSign Language Translator

Bridging the communication gap

Questions?