The GETA Sandals: A Footprint Location Tracking System

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The GETA Sandals: A Footprint Location Tracking System Kenji Okuda, Shun-yuan Yeh, Chon-i n Wu, Keng-hao Chang, and Hao-hua Chu National Taiwan University

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The GETA Sandals: A Footprint Location Tracking System. Kenji Okuda, Shun-yuan Yeh , Chon-in Wu, Keng-hao Chang, and Hao-hua Chu National Taiwan University. What is GETA?. a kind of the traditional Japanese sandals. Outline. Motivation Related works Basic idea - PowerPoint PPT Presentation

Transcript of The GETA Sandals: A Footprint Location Tracking System

Page 1: The GETA Sandals: A Footprint Location Tracking System

The GETA Sandals: A Footprint Location Tracking System

Kenji Okuda, Shun-yuan Yeh, Chon-in Wu, Keng-hao Chang, and Hao-hua Chu

National Taiwan University

Page 2: The GETA Sandals: A Footprint Location Tracking System

What is GETA?

a kind of the traditional Japanese sandals

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Outline

Motivation Related works Basic idea Design, implementation and evaluation

(three versions try and error)

Conclusion Current works

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Motivation Infrastructure cost (barriers for the user) (deployment, calibration, maintain)

Active Badge: IR receivers Active BAT: Ultrasonic receivers + RF Cricket: Ultrasonic beacons + RF RADAR: WiFi network Smart floor: pressure sensors

Goal Infrastructure free (not succeed so far in this paper-> low infrastructure) High accuracy

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Related Works

Lee et al. proposed a method by recognizing a sequence of incremental

motions. E.g. 5 steps north followed by 14 steps east.

Only can tell from place to place e.g. living room, bedroom

Point research provides a vehicle self-tracking system

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Basic idea of Foot-print Approach

( 0, 0 )

( 180, 200 )

Sp

S1

S2

S3

S4

S5

Sp=S1+S2+S3+S4+S5

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How to sum up those vectors mathematically

Coordinate system 1

Coordinate system 1’

(x1, y1)

(x2, y2)

(xc2, yc2)

(xc1, yc1)

θCoordinate system 2

Need coordinate transformation for each left foot step.

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Three try-and-error versions

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Design version I

Bottom view side view

Ultrasonic Transmitte

rs

Ultrasonic

Receivers

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Why using two transmitters

P1 (known)

P2 (Unknown)

T1d1

d2

d3

d4

Can be rotated!!

fixed

(fixed)

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Why using two transmitters

P1 (known)

P2 (determined)

T1

Can Not be rotated any

more !

T2

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Problems of Design I

Poor accuracy! The interference of the signals from two

transmitters. Measures the incorrect vectors Miss-detection of the user’s steps All the calculations become failure.

Can not distinguish the user is moving forward or backward!

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Design version II

Bottom view side view

Ultrasonic Transmitte

r

Ultrasonic

Receivers

Pressure sensor

Orientation Sensor

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Design II Performance Evaluation

0

2

4

6

8

10

0 100 200 300 400 500 600

distance (cm)

erro

r %

0.43(steps/sec)

0.7(steps/sec)

1.3(steps/sec)

0

10

20

30

40

50

0 100 200 300 400 500 600

distance(cm)

erro

r d

ista

nce

(cm

)

0.43(steps/sec)

0.7(steps/sec)

1.3(steps/sec)

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Two Main Error Sources

θerrP1 P2

Real path Calculated path Error Displacement

P2

Steps

Error

Real path Calculated path Error Displacement

P1

Fig1. Ultrasonic device err Fig2. Orientation sensor err

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The solution of design II

Passive RFID tag

Adds a RFID reader in the GETA and put some tags in the environment.

Real Path of the user Calculated Path of the user

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Design version III Orientation

SensorRFID Reader

Pressure Sensor

Ultrasonic Receivers board (with 2 Ultrasonic receivers)

Ultrasonic transmitter

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Hardware Sensors of Design III

Pressure sensors Phidgets

Ultrasonic device NAVINote (an electronic pen product) Resolution : 0.2 mm

Orientation sensor InterSense InterTrax2 Resolution : 0.02 degree

RFID Reader SkyeTek M1 Read range: ~5cm

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Design III Performance Evaluation

Doesn't step over thetag

Doesn't step over thetag

020406080

100120140

0 500 1000 1500 2000 2500 3000

distance (cm)

erro

r dis

tanc

e (c

m) one tag per 3 m

one tage per 5 m

The positioning error under different tag density over the walking distance.

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Conclusion

A interesting self tracking method. Low infrastructure cost. The error of the orientation dominants our

system accuracy. Still have some limitations

E.g. climbing the stairs, walking crossover..

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Current Works

Increase the accuracy

(reducing the orientation error) Solve the obstruction problem Going down/up stair problem Enhance the wearability (wireless)

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Thank you

Questions?

or send me E-mail [email protected]

Thank you !