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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.
• Research plan (revised).
• Project progress.
• Current work.
• 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.
3
MR Damper
Gait Phase Detection
Smart Shoe
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Research Plan (revised) Activity Jul. Aug. Sep. Oct. Nov. Dec. Jan. Feb. Mar.
Finalize Hardware
Software Improvement
Data Acquisition
Algorithm Development
Co-op with MR Damper
4
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(1)
5
Reconstruction of the smart shoe.
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(2)
6
2.4 GHz freq. band 6.4 kbps data rate
Data sampling rate = 40Hz
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(2)
7
7E 00 1C 10 01 00 13 A2 00 40 2D B5 23 00 00 00 00 01 43 01 66 00 AA 01 B2 00 05 C3 01 0A BE 5B
1. Start Bit 2. Destination address 3. FSRs read
4. Gyro read 5. Angle read 6. Checksum
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(3)
8 0
200
400
600
800
1000
0.00
1.02
1.89
2.80
3.67
4.57
5.45
We
igh
t L
ev
el
Time (second)
FSR Reading
FSR_1
FSR_2
FSR_3
FSR_4
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(3)
9 -500
-400
-300
-200
-100
0
100
200
300
400
500
-60
-40
-20
0
20
40
60
0.00
1.02
1.89
2.80
3.67
4.57
5.45
De
gre
e/
sec
De
gre
e
Time (second)
Gyro and Angular Reading
Foot Angle
Ang_Vel
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Project Progress(3)
10 -500
-400
-300
-200
-100
0
100
200
300
400
-60
-40
-20
0
20
40
60
2.61
2.84
3.06
3.28
3.49
3.71
3.93
4.16
De
gre
e/
sec
de
gre
e
Time (second)
Gyro and Angular Reading (1 Period)
Foot Angle
Ang_Vel
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Current work
Qualitative comparison between using angular velocity and foot angle alone as a swing indicator.
11
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Future Plan
12 Data acquisition and comparison with visual inspection using video camera.
Electronics and Communication Engineering Program School of Information, Computer and Communication Technology (ICT)
Sirindhorn International Institute of Technology, Thammasat University
Question and Answer
13
