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THAMMASAT UNIVERSITY

Optimization of Networked
Smart Shoe for Gait Analysis
using Heuristic Algorithms
September 10, 2012

Mr. Nantawat Pinkam
Under the supervision of
Dr. Itthisek Nilkhamhang
Dr. Kanokvate Tungpimolrut
Electronics and Communication Engineering Program
          School of Information, Computer and Communication Technology (ICT)

         Sirindhorn International Institute of Technology, Thammasat University




Outline
•   Introduction: a brief review of smart shoe.
•   Project progress.
•   Current work.
•   Research Plan.
•   Future plan.



                                                                                  2
Electronics and Communication Engineering Program
       School of Information, Computer and Communication Technology (ICT)

       Sirindhorn International Institute of Technology, Thammasat University



Introduction: a brief review of smart shoe.
MR Damper




                     Gait Phase
                     Detection



                                                               Smart Shoe       3
Electronics and Communication Engineering Program
      School of Information, Computer and Communication Technology (ICT)

      Sirindhorn International Institute of Technology, Thammasat University




Project Progress(1)




  G1Stand Still
  G2Behind coronal plane
  G3In front of coronal plane
                                                                               4
 Revision of state transition classification
Electronics and Communication Engineering Program
    School of Information, Computer and Communication Technology (ICT)

    Sirindhorn International Institute of Technology, Thammasat University




Project Progress(1)




        E1Stance      E2Heel-off
        E3Swing1      E4Swing2                                             5
        E5Heel-strike
Electronics and Communication Engineering Program
    School of Information, Computer and Communication Technology (ICT)

    Sirindhorn International Institute of Technology, Thammasat University


Project Progress(1)




                                                                             6
Electronics and Communication Engineering Program
      School of Information, Computer and Communication Technology (ICT)

      Sirindhorn International Institute of Technology, Thammasat University




Project Progress(1)
Problems
 • The revised state transition diagram can be
   used with unknown accuracy but better than
   the old one.
 • Need a treadmill to collecting data.
 • Threshold values come from numerous
   observations.                                                               7
Electronics and Communication Engineering Program
     School of Information, Computer and Communication Technology (ICT)

     Sirindhorn International Institute of Technology, Thammasat University




Project Progress(2)
Genetic algorithma population-based model
that uses selection and recombination to
generate new sample points in a search space.

     Chromosome                              Selection

         Fitness                            Crossover
        Function
                                                                              8
                                             Mutation
Electronics and Communication Engineering Program
    School of Information, Computer and Communication Technology (ICT)

    Sirindhorn International Institute of Technology, Thammasat University




Project Progress(2)
   Population                                     Fitness
   generation                                    Function
      Gen-0
                   Next
                 Generation                     Selection



       Mutation                               Crossover                      9
                                             Reproduction
Electronics and Communication Engineering Program
    School of Information, Computer and Communication Technology (ICT)

    Sirindhorn International Institute of Technology, Thammasat University




Project Progress(2)
                                                Threshold

  Chromosome                                      FSR[1-4]

                                                   Angular
                                                   Velocity
                                                    Foot
                                             Inclination Angle
                                                                             10
Electronics and Communication Engineering Program
      School of Information, Computer and Communication Technology (ICT)

      Sirindhorn International Institute of Technology, Thammasat University




Project Progress(2)
                                Fitness
                               Function
       Sensor                                       Chromosomes
       Dataset

    Gait Classified by                        Gait Classified by
Chromosomes’ Threshold                        Visual Inspection
                                                                               11
Electronics and Communication Engineering Program
      School of Information, Computer and Communication Technology (ICT)

      Sirindhorn International Institute of Technology, Thammasat University




Current work
• Development of selection, crossover and
  mutation function to complete genetic
  algorithm.




                                                                               12
Electronics and Communication Engineering Program
           School of Information, Computer and Communication Technology (ICT)

           Sirindhorn International Institute of Technology, Thammasat University




Research Plan
         Activity              Jul.   Aug.   Sep.   Oct.   Nov.   Dec.   Jan.   Feb.   Mar.

Finalize Hardware
Software Improvement
Data Acquisition
Project Proposal
Algorithm Development
Co-op with MR Damper
Write Paper
Write Project Report
                                                                                              13
Final Project Presentation
Electronics and Communication Engineering Program
      School of Information, Computer and Communication Technology (ICT)

      Sirindhorn International Institute of Technology, Thammasat University




Future Plan




Data acquisition and comparison with visual
                                                                               14
inspection using video camera with optimized
threshold.
Electronics and Communication Engineering Program
    School of Information, Computer and Communication Technology (ICT)

    Sirindhorn International Institute of Technology, Thammasat University




Question and Answer




                                                                             15

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Progress presentation 2

  • 1. THAMMASAT UNIVERSITY Optimization of Networked Smart Shoe for Gait Analysis using Heuristic Algorithms September 10, 2012 Mr. Nantawat Pinkam Under the supervision of Dr. Itthisek Nilkhamhang Dr. Kanokvate Tungpimolrut
  • 2. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Outline • Introduction: a brief review of smart shoe. • Project progress. • Current work. • Research Plan. • Future plan. 2
  • 3. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Introduction: a brief review of smart shoe. MR Damper Gait Phase Detection Smart Shoe 3
  • 4. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(1) G1Stand Still G2Behind coronal plane G3In front of coronal plane 4 Revision of state transition classification
  • 5. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(1) E1Stance E2Heel-off E3Swing1 E4Swing2 5 E5Heel-strike
  • 6. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(1) 6
  • 7. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(1) Problems • The revised state transition diagram can be used with unknown accuracy but better than the old one. • Need a treadmill to collecting data. • Threshold values come from numerous observations. 7
  • 8. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(2) Genetic algorithma population-based model that uses selection and recombination to generate new sample points in a search space. Chromosome Selection Fitness Crossover Function 8 Mutation
  • 9. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(2) Population Fitness generation Function Gen-0 Next Generation Selection Mutation Crossover 9 Reproduction
  • 10. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(2) Threshold Chromosome FSR[1-4] Angular Velocity Foot Inclination Angle 10
  • 11. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Project Progress(2) Fitness Function Sensor Chromosomes Dataset Gait Classified by Gait Classified by Chromosomes’ Threshold Visual Inspection 11
  • 12. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Current work • Development of selection, crossover and mutation function to complete genetic algorithm. 12
  • 13. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Research Plan Activity Jul. Aug. Sep. Oct. Nov. Dec. Jan. Feb. Mar. Finalize Hardware Software Improvement Data Acquisition Project Proposal Algorithm Development Co-op with MR Damper Write Paper Write Project Report 13 Final Project Presentation
  • 14. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Future Plan Data acquisition and comparison with visual 14 inspection using video camera with optimized threshold.
  • 15. Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT) Sirindhorn International Institute of Technology, Thammasat University Question and Answer 15