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Trinetra Project

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Difficult to obtain data. Poor reliability of output. Trinetra? ... Training with the measured data. Classification the test data set. Pattern. Classification ... – PowerPoint PPT presentation

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Title: Trinetra Project


1
Trinetra Project
Alternative Pointing Device with Hidden Markov
Model
CSE 19991253 Seung hyun, Yang
2
Problems
  • Present pointing device Mouse
  • Occupies much place
  • Needs ground
  • Future pointing device EEG BCI
  • Difficult to obtain data
  • Poor reliability of output

3
Trinetra?
  • Distance measuring to 3 directions
  • Training with the measured data
  • Classification the test data set

HMM, FHMM
Recognition
Pattern Classification
4
Pattern Classification
  • Direction
  • Expectation angle of the likelihood of each 3
    direction (with addition of vector)
  • Click (down)
  • Click (up)

Hidden Markov Model
  • Assume that finger doesnt move in parallel along
    a wall.
  • Optional implementation of moving distance

5
Data Gathering
  • Senscomp. SE-600-I
  • Ultrasonic sensor
  • Measure the distance to an object
  • Three directional measuring
  • Parallel Port 11-13
  • (input)

6
Data Gathering
7
Plan
  • Prepare The Equipments (H/W)
  • 6, Nov.
  • Data gathering part
  • 20, Nov.
  • Implementation of classification
  • 4, Dec.
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