Using a Triaxial Accelerometer for Movement Monitoring Presenter: Chang-Yu Tsai Adviser: Cheng- Jui...
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Transcript of Using a Triaxial Accelerometer for Movement Monitoring Presenter: Chang-Yu Tsai Adviser: Cheng- Jui...
Using a Triaxial Accelerometer forMovement Monitoring
Presenter: Chang-Yu Tsai
Adviser: Cheng- Jui Hung
2009/11/23
2009/11/232
Outline
Introduction
Papers review
Future works
References
2009/11/233
Introduction
Triaxial accelerometer applications for a Behavior Monitoring Systems.
Advantages of MEMS Triaxial accelerometer : Low cost. High precision. Small volume. Low power.
MEMS: Microelectromechanical Systems ( 微機電系統 )
2009/11/234
Papers review
[1] Dean M. Karantonis, Michael R. Narayanan, Merryn Mathie, Nigel H. Lovell, Branko G. Celler ,“Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring,” IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
[2] Koichi Sagawa,Hikaru Inooka, Yutaka Satoh,“ Non-restricted measurement of walking distance,” IEEE Trans. January 30, 2009.
2009/11/235
Paper review(1) Abstract
In this way, the system distinguishes between periods of activity and rest.
Recognizes the postural orientation of the wearer, detects events such as walking and falls.
2009/11/236
Paper review(1) Abstract
12 tasks (283 tests)
Overall accuracy : 90.8 %
Postural orientation : 94.1 %
Walking : 83.3 %
Fall : 95.6 %
2009/11/237
Paper review(1) Methods
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/238
Paper review(1) TA Unit
Triaxial Accelerometer (TA) : Dimension : 22 X 50 X 50 mm Weight : 51 g Range : ±10 g Noise : 5.06 mg Bandwidth : 100 Hz RAM : 2 KB A/D : 45 Hz
2009/11/239
Paper review(1) Flow Chart
TA signal
Median Filter
LPF
Computer SMA
SMA > th
AbnormalAcc. peak
Upright
Upright
Sitting Lying
Possible Fall
Upright Active Lying Active
Sitting Standing Inverted
DetermineLying Position
Front Back Right Left
n=3
LPF=0.25 HZ
RestActivity
YES
NO
YESNO
NO
NONO
YES
YES
YES
2009/11/2310
Paper review(1) Flow Chart
TA signal
Median Filter
LPF
Computer SMA
SMA > th
AbnormalAcc. peak
Upright
Upright
Sitting Lying
Possible Fall
Upright Active Lying Active
Sitting Standing Inverted
DetermineLying Position
Front Back Right Left
n=3
LPF=0.25 HZ
RestActivity
YES
NO
YESNO
NO
NONO
YES
YES
YES
2009/11/2311
Paper review(1) Flow Chart
TA signal
Median Filter
LPF
Computer SMA
SMA > th
AbnormalAcc. peak
Upright
Upright
Sitting Lying
Possible Fall
Upright Active Lying Active
Sitting Standing Inverted
DetermineLying Position
Front Back Right Left
n=3
LPF=0.25 HZ
RestActivity
YES
NO
YESNO
NO
NONO
YES
YES
YES
2009/11/2312
Paper review(1) Flow Chart
TA signal
Median Filter
LPF
Computer SMA
SMA > th
AbnormalAcc. peak
Upright
Upright
Sitting Lying
Possible Fall
Upright Active Lying Active
Sitting Standing Inverted
DetermineLying Position
Front Back Right Left
n=3
LPF=0.25 HZ
RestActivity
YES
NO
YESNO
NO
NONO
YES
YES
YES
2009/11/2313
Paper review(1) Methods
The first step is median filtering: n = 3
The second step is low pass filtering (LPF) : Cut-off frequency at
0.25 Hz
Signal Magnitude Area (SMA) :
SMA :每秒所產生三軸運動量總和
2009/11/2314
Paper review(1) Methods
The z-axis and the gravitational vector g by the relation:
θ = cos-1(z).
Z-axis
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2315
Paper review(1) Methods
Classification of lying postures
X-axis
Y-axis
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2316
Paper review(1) Methods
signal magnitude vector (SVM) :
SVM at a threshold of 1.8 g.
SVM:信號向量強度 (向量合 )
2009/11/2317
Paper review(1)Trial Experiment Protocol
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2318
Paper review(1)Trial Experiment Protocol
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2319
Paper review(1)Trial Experiment Protocol
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2320
Paper review(1)Trial Experiment Protocol
Time (s) Time (s)
Walking (slow) Walking (fast)Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2321
Paper review(1)Trial Experiment Protocol
Walking (slow) Walking (fast)Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2322
Paper review(1)Trial Experiment Protocol
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2323
Paper review(1)Trial Experiment Protocol
Form Michael R. Narayanan, Merry, Nigel H. Lovell, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
2009/11/2324
Paper review(2)Abstract
Walking distance is discussed.
A piezoelectric gyro.
The horizontal distance is obtained by integrating the horizontal acceleration twice every step.
Distance estimated : 5.3 %
Average : 0.0 %
Vertical distance : 11.1 %.
Authorized licensed use limited to: Southern Taiwan University of Technology. Downloaded on January 30, 2009 at 02:45 from IEEE Xplore. Restrictions apply.
2009/11/2325
Paper review(2)Horizontal distance
deg/s:每秒角動量變化Authorized licensed use limited to: Southern Taiwan University of Technology. Downloaded on January 30, 2009 at 02:45 from IEEE Xplore. Restrictions apply.
2009/11/2326
Paper review(2)Calculation method
Authorized licensed use limited to: Southern Taiwan University of Technology. Downloaded on January 30, 2009 at 02:45 from IEEE Xplore. Restrictions apply.
2009/11/2327
Paper review(2)Experiment
Authorized licensed use limited to: Southern Taiwan University of Technology. Downloaded on January 30, 2009 at 02:45 from IEEE Xplore. Restrictions apply.
2009/11/2328
Future Works
Use the Triaxial accelerometer to do it.
Find a good method to distinguishes the slow walking and lying.
To count of metabolic energy expenditure.
2009/11/2329
References
[1] Dean M. Karantonis, Michael R. Narayanan, Merryn Mathie, Nigel H. Lovell, Branko G. Celler ,“Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring,” IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 10, NO. 1, JANUARY 2006
[2] Koichi Sagawa,Hikaru Inooka, Yutaka Satoh“Non-restricted measurement of walking distance,” IEEE Trans. January 30, 2009.