The document discusses the 'eyering,' a finger-worn device designed to assist visually impaired individuals through various applications, including navigation and currency recognition. It outlines the technology behind the eyering, such as its embedded camera and software for processing visual information, enabling users to interact with their environment. Future applications include reading printed materials and enhancing tourism experiences with gesture-based navigation.

1. DEPARTMENT OF COMPUTER SCIENCE
AND
ENGINEERING
-Tomorrow’s Technology Through Today’s Education
CHAITANYA INSTITUTE OF SCIENCE AND
TECHNOLOGY

2. EyeRing

4. Over view
• Introduction
• Touch Pointing Gestures
• Free-air Pointing Gestures
• EyeRing – A Finger Worn Assistant
• Applications
• Future Applications
• Conclusion

5. 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
intuitively translate signage.

6. • 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 is based on performing Free-air Pointing (FP) gestures, as well as
Touch Pointing (TP) gestures.

7. 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

8. Optophon
Optacon 2

9. 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.

10. 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

11. EyeRing
Prototype

12. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. Conclusion
• The applications we presented for EyeRing emerge from the current
design.
• Preliminary feedback received from a visually impaired user supports
that EyeRing assistive applications are intuitive and seamless.
• 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.

19. Thank you…!
Presented by:
Ch.Durga Rao
N.S.Priyadarshini