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DEPARTMENT OF COMPUTER SCIENCE
AND
ENGINEERING
-Tomorrow’s Technology Through Today’s Education
CHAITANYA INSTITUTE OF SCI...
EyeRing
Over view
• Introduction
• Touch Pointing Gestures
• Free-air Pointing Gestures
• EyeRing – A Finger Worn Assistant
• Appl...
Introduction
• Finger-worn interface for interaction.
• For visually impaired people, it opens a world of possibilities.
•...
• Earlier explorations are divided into a few subspaces according to how
they are operated:
o Pointing
o Tapping/Touching
...
Touch Pointing (TP) Gestures
• TP gestures utilize the natural touch sense.
• the action trigger is not based on touch sen...
Optophone
Optacon 2
Free-air Pointing (FP) Gestures
• Human behavior and natural gestural language.
• Previous work revolved around:
o Control...
EyeRing – A Finger Worn
Assistant
• A finger-worn device with an embedded camera, a computation
element and an earpiece fo...
EyeRing
Prototype
Working
• Speech processing engine and computer vision engine were
implemented on a mobile phone.
• User would single clic...
Applications
Virtual Walking Cane:
• Used for navigation is certainly fashionable and appealing.
• Provide an approximate ...
Currency Detector
• Intended to help the user to identify currency bills.
• Simply point index finger to a currency note a...
Color Detector
• Aids a visually impaired person to understand the color of an object.
• Users simply touch point to an ob...
Future Applications
Reading Non-Braille:
• Visually impaired people are mostly bound to reading Braille or
listening to au...
Conclusion
• The applications we presented for EyeRing emerge from the current
design.
• One of the biggest challenges is ...
Thank you…!
Presented by:
Ch.Durga Rao
N.S.Priyadarshini
EyeRing PowerPoint Presentation
EyeRing PowerPoint Presentation
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EyeRing PowerPoint Presentation

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Published on

2016 Project.
A finger wore device helpful for blind people.
Used to know the color and currency and etc.,
Prepared by Ch.Durga Rao, Naidu.S.Piyadarshini.

Published in: Engineering

EyeRing PowerPoint Presentation

  1. 1. DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING -Tomorrow’s Technology Through Today’s Education CHAITANYA INSTITUTE OF SCIENCE AND TECHNOLOGY
  2. 2. EyeRing
  3. 3. Over view • Introduction • Touch Pointing Gestures • Free-air Pointing Gestures • EyeRing – A Finger Worn Assistant • Applications • Future Applications • Conclusion
  4. 4. Introduction • Finger-worn interface for interaction. • For visually impaired people, it opens a world of possibilities. • Eye Ring, a novel design and concept of a finger-worn device • Numerous applications for visually impaired people such as recognizing currency notes and navigating , to tour an unknown city or translate signage.
  5. 5. • Earlier explorations are divided into a few subspaces according to how they are operated: o Pointing o Tapping/Touching o Gesturing o Pressing/Clicking on the device • This device is based on performing Touch Pointing (TP) gestures, as well as Free-air Pointing (FP) gestures
  6. 6. Touch Pointing (TP) Gestures • TP gestures utilize the natural touch sense. • the action trigger is not based on touch sensitivity of the surface, rather on an external sensor • reading aid for the blind date back to the Optophone and later the Optacon1 • Other assistive devices that are using imaging technology are Primpo’s iSONIC2 and the i-Cane3
  7. 7. Optophone Optacon 2
  8. 8. Free-air Pointing (FP) Gestures • Human behavior and natural gestural language. • Previous work revolved around: o Control o information retrieval • Utilize a specialized sensor, between the pointing finger and the target. • Use a general-purpose camera. • Desire to replace an impaired human visual sense had a strong influence on the design.
  9. 9. EyeRing – A Finger Worn Assistant • A finger-worn device with an embedded camera, a computation element and an earpiece for information loopback. • Autonomous and wireless, and includes a single button to initiate the interaction. • The current implementation of finger-worn device uses : o TTL Serial JPEG Camera, o 16 MHz AVR processor, o a Bluetooth module, o 3.7V polymer Lithium-ion battery, o 3.3V regulator, o a push button switch. • All the components are packaged into a wearable ABS nylon casing
  10. 10. EyeRing Prototype
  11. 11. Working • Speech processing engine and computer vision engine were implemented on a mobile phone. • User would single click the pushbutton switch on the side of the ring using his thumb. • A snapshot is taken from the camera and the image is transferred via Bluetooth to the mobile phone. • Mobile phone then analyzes the image using our computer vision engine. • Then the Android application uses a Text-to- Speech module to read out the information though a headset.
  12. 12. Applications Virtual Walking Cane: • Used for navigation is certainly fashionable and appealing. • Provide an approximate estimation of the clear walking space. • Users must use FP gestures to take pictures of the space in front of them, with some motion between the shots. • Receiving the two images, an algorithm to recover the depth is performed.
  13. 13. Currency Detector • Intended to help the user to identify currency bills. • Simply point index finger to a currency note and click the button. • A detection algorithm based on a Bag of Visual Words (BoVW)scans the image and makes a decision. • We use Opponent Space SURF features to retain color information, for notes detection.
  14. 14. Color Detector • Aids a visually impaired person to understand the color of an object. • Users simply touch point to an object and click the button to deliver an image for processing. • Analyses the image and returns the average color via audio feedback. • We use a calibration step to help the system adjust to different lighting conditions.
  15. 15. Future Applications Reading Non-Braille: • Visually impaired people are mostly bound to reading Braille or listening to audio books but are limited. • This will allow the user to read regular printed material using EyeRing. Tourist Helper: • Tourists visiting a new city often rely on maps and landmarks for navigation. • However, even with augmented reality applications such as Layar4, the UI for on-foot navigation is still cumbersome. • Our proposed application relies on natural gesture.
  16. 16. Conclusion • The applications we presented for EyeRing emerge from the current design. • One of the biggest challenges is creating the supporting software that works in unison with this unique design. • However, we believe that adding more hardware will open up a multitude of new uses for this specific wearable design.
  17. 17. Thank you…! Presented by: Ch.Durga Rao N.S.Priyadarshini

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