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Mathematical function data model analysis and synthesis system based on short-term human movement

Xuemei An

Xuemei An

Hebei Institute of Mechanical and Electroninc TechnologyXintai, China
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An, Xuemei
, 
Rui Yang

Rui Yang

Hebei Institute of Mechanical and Electroninc TechnologyXintai, China
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Yang, Rui
, 
Daniyal M. Alghazzawi

Daniyal M. Alghazzawi

Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
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Alghazzawi, Daniyal M.
 y 
Nympha Rita Joseph

Nympha Rita Joseph

Applied Science UniversityAl Eker, Kingdom of Bahrain
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Joseph, Nympha Rita
  
22 nov 2021
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Publicado en línea: 22 nov 2021
Páginas: 49 - 58
Recibido: 17 jun 2021
Aceptado: 24 sept 2021
DOI: https://doi.org/10.2478/amns.2021.2.00088
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© 2021 Xuemei An et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

4th order Fourier series fitting.
4th order Fourier series fitting.

Fig. 2

Differences in data curves of different sports behaviours.
Differences in data curves of different sports behaviours.

Fig. 3

Period extraction results of a single measurement unit.
Period extraction results of a single measurement unit.

Fig. 4

Summary of classification results based on WARD-based methods and traditional methods. WARD, wearable sensor behaviour recognition database.
Summary of classification results based on WARD-based methods and traditional methods. WARD, wearable sensor behaviour recognition database.

Fig. 5

Single sample data sequence.
Single sample data sequence.

Confusion matrix of 10 dynamic behaviour categories_

1 2 3 4 5 6 7 8 9 10 Recognition rate (%)
1 97 0 0 0 0 1 0 0 0 2 97
2 0 97 0 1 0 0 0 0 0 2 97
3 0 0 98 0 1 0 1 0 0 0 98
4 0 0 0 100 0 0 0 0 0 0 100
5 0 0 0 0 100 0 0 0 0 0 100
6 0 0 0 0 0 97 1 1 1 0 97
7 0 0 0 0 0 2 94 1 0 3 94
8 0 0 0 0 0 0 0 100 0 0 100
9 0 0 0 0 0 1 5 0 94 0 94
10 1 0 0 0 0 0 0 0 1 98 98
Total recognition rate 97.5

Comparison of algorithm results based on WARD

Window size Feature extraction method Classifier Classifier time (s) Recognition rate (%)
Literature [6] 200 time-frequency domain features DT < 1 93.7
Literature [11] 45 LPP DSC N/A 87.05
Literature [12] 40 RP SRC N/A 82.1
Algorithm 45 Periodic extraction of calibration starting point SVM < 1 97.5

Behaviour description in WARD

Numbering Behaviour category Behaviour description
1 Walk normally Walk forward for > 10 s
2 Walk counterclockwise Go counterclockwise for > 10 s
3 Walk clockwise Go clockwise for > 10 s
4 To the left Turn left on the spot for > 10 s
5 Turn right Turn right on the spot for > 10 s
6 Go up the stairs Go up > 10 stairs
7 Down the stairs Go down > 10 stairs
8 Jogging Jogging lasts > 10 s
9 Jump Jump in place > 5 times
10 Push wheelchair Push the wheelchair for > 10 s

Comparison of classification results of different classifiers

Classifier Recognition rate (%)
Support vector machines 97.5
Decision tree 89.5
Naive Bayes 86.9
K-nearest neighbour 93.9
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Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
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