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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

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Page 1: Progress presentation 2

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

Page 2: Progress presentation 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.

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Page 3: Progress presentation 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.

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MR Damper

Gait Phase Detection

Smart Shoe

Page 4: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(1)

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Revision of state transition classification

G1Stand Still G2Behind coronal plane G3In front of coronal plane

Page 5: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(1)

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E1Stance E2Heel-off E3Swing1 E4Swing2 E5Heel-strike

Page 6: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(1)

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Page 7: Progress presentation 2

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.

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Page 8: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(2)

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Genetic algorithma population-based model that uses selection and recombination to generate new sample points in a search space.

Fitness Function

Crossover

Mutation

Chromosome Selection

Page 9: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(2)

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Population generation

Fitness Function

Selection

Crossover Reproduction

Mutation

Gen-0 Next

Generation

Page 10: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(2)

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Chromosome FSR[1-4]

Angular Velocity

Foot Inclination Angle

Threshold

Page 11: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Project Progress(2)

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Sensor Dataset

Gait Classified by Visual Inspection

Chromosomes

Gait Classified by Chromosomes’ Threshold

Fitness Function

Page 12: Progress presentation 2

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.

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Page 13: Progress presentation 2

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

Final Project Presentation 13

Page 14: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Future Plan

14 Data acquisition and comparison with visual inspection using video camera with optimized threshold.

Page 15: Progress presentation 2

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

Sirindhorn International Institute of Technology, Thammasat University

Question and Answer

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