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2014 | OriginalPaper | Buchkapitel

Step Length Estimation and Activity Detection in a PDR System Based on a Fuzzy Model with Inertial Sensors

verfasst von : Mariana Natalia Ibarra-Bonilla, Ponciano Jorge Escamilla-Ambrosio, Juan Manuel Ramirez-Cortes, Jose Rangel-Magdaleno, Pilar Gomez-Gil

Erschienen in: Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Verlag: Springer International Publishing

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Abstract

This chapter presents an approach on pedestrian dead reckoning (PDR) which incorporates activity classification over a fuzzy inference system (FIS) for step length estimation. In the proposed algorithm, the pedestrian is equipped with an inertial measurement unit attached to the waist, which provides three-axis accelerometer and gyroscope signals. The main goal is to integrate the activity classification and step-length estimation algorithms into a PDR system. In order to improve the step-length estimation, several types of activities are classified using a multi-layer perceptron (MLP) neural network with feature extraction based on statistical parameters from wavelet decomposition. This work focuses on classifying activities that a pedestrian performs routinely in his daily life, such as walking, walking fast, jogging and running. The step-length is dynamically estimated using a multiple-input–single-output (MISO) fuzzy inference system. Results provide an average classification rate of 87.49 % with an accuracy on step-length estimation about 92.57 % in average.

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Literatur
1.
Zurück zum Zitat Gartner, G., Ortag, F.: Advances in Location-based Services, Lecture Notes in Geoinformation and Cartography. Springer-Verlag, Berlin (2012) Gartner, G., Ortag, F.: Advances in Location-based Services, Lecture Notes in Geoinformation and Cartography. Springer-Verlag, Berlin (2012)
2.
Zurück zum Zitat Sun, Z., Mao, X., Tian, W., Zhang, X.: Activity classification and dead reckoning for pedestrian navigation with wearable sensors. Measur. Sci. Technol. 20(1), 1–10 (2009) Sun, Z., Mao, X., Tian, W., Zhang, X.: Activity classification and dead reckoning for pedestrian navigation with wearable sensors. Measur. Sci. Technol. 20(1), 1–10 (2009)
3.
Zurück zum Zitat Altun, K., Barshan, B.: Pedestrian dead reckoning employing simultaneous activity recognition cues. Measur. Sci. Technol. 23(2), 1–20 (2012) Altun, K., Barshan, B.: Pedestrian dead reckoning employing simultaneous activity recognition cues. Measur. Sci. Technol. 23(2), 1–20 (2012)
4.
Zurück zum Zitat Bancroft, J.B., Garrett, D., Lachapelle, G.: Activity and environment classification using foot mounted navigation sensors. In: Proceedings of International Conference on Indoor Positioning and Indoor Navigation, pp. 13–15. Sydney, NSW (2012) Bancroft, J.B., Garrett, D., Lachapelle, G.: Activity and environment classification using foot mounted navigation sensors. In: Proceedings of International Conference on Indoor Positioning and Indoor Navigation, pp. 13–15. Sydney, NSW (2012)
5.
Zurück zum Zitat Chen, X., Hu, S., Shao, Z., Tan, J.: Pedestrian positioning with physical activity classification for indoors. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 1311–1316. Shanghai, China May, 2011 Chen, X., Hu, S., Shao, Z., Tan, J.: Pedestrian positioning with physical activity classification for indoors. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 1311–1316. Shanghai, China May, 2011
6.
Zurück zum Zitat Panahandeh, G., Mohammadiha, N., Leijon, A., Handel, P.: Continuous hidden markov model for pedestrian activity classification and gait analysis. IEEE Trans. Instrum. Meas. 62(5), 1073–1083 (2013)CrossRef Panahandeh, G., Mohammadiha, N., Leijon, A., Handel, P.: Continuous hidden markov model for pedestrian activity classification and gait analysis. IEEE Trans. Instrum. Meas. 62(5), 1073–1083 (2013)CrossRef
7.
Zurück zum Zitat Mathie, M.J., Celler, B.G., Lovell, N.H., Coster, A.C.F.: Classification of basic daily movements using a triaxial accelerometer. Med. Biol. Eng. Comput. 42(5), 679–687 (2004)CrossRef Mathie, M.J., Celler, B.G., Lovell, N.H., Coster, A.C.F.: Classification of basic daily movements using a triaxial accelerometer. Med. Biol. Eng. Comput. 42(5), 679–687 (2004)CrossRef
8.
Zurück zum Zitat Yang, C.C., Hsu, Y.L.: A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 10(8), 7772–7788 (2010)CrossRef Yang, C.C., Hsu, Y.L.: A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 10(8), 7772–7788 (2010)CrossRef
9.
Zurück zum Zitat Mannini, A., Sabatini, A.M.: Accelerometry-based classification of human activities using markov modeling. Comput. Intell. Neurosci. 2011, 2–9 (2011)CrossRef Mannini, A., Sabatini, A.M.: Accelerometry-based classification of human activities using markov modeling. Comput. Intell. Neurosci. 2011, 2–9 (2011)CrossRef
10.
Zurück zum Zitat Preece, S.J., Goulermas, J.Y., Kenney, L.P.J., Howard, D.: A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data. IEEE Trans. Biomed. Eng. 56(3), 871–879 (2009)CrossRef Preece, S.J., Goulermas, J.Y., Kenney, L.P.J., Howard, D.: A comparison of feature extraction methods for the classification of dynamic activities from accelerometer data. IEEE Trans. Biomed. Eng. 56(3), 871–879 (2009)CrossRef
11.
Zurück zum Zitat Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity recognition from accelerometer data. In: Proceedings of 17th Conference on Innovative Applications of Artificial Intelligence, vol. 5, pp. 1541–1546. Pittsburgh, Pennsylvania (2005) Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity recognition from accelerometer data. In: Proceedings of 17th Conference on Innovative Applications of Artificial Intelligence, vol. 5, pp. 1541–1546. Pittsburgh, Pennsylvania (2005)
12.
Zurück zum Zitat Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. ACM SIGKDD Explor. Newslett. 12(2), 74–82 (2011)CrossRef Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. ACM SIGKDD Explor. Newslett. 12(2), 74–82 (2011)CrossRef
13.
Zurück zum Zitat Karantonis, D.M., Narayanan, M.R., Mathie, M., Lovell, N.H., Celler, B.G.: Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed. 10(1), 156–167 (2006)CrossRef Karantonis, D.M., Narayanan, M.R., Mathie, M., Lovell, N.H., Celler, B.G.: Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring. IEEE Trans. Inf. Technol. Biomed. 10(1), 156–167 (2006)CrossRef
14.
Zurück zum Zitat Ning, W., Ambikairajah, E., Lovell, N.H., Celler, B.G.: Accelerometry based classification of walking patterns using time-frequency analysis. In: Proceedings of 29th IEEE Annual International Conference Engineering in Medicine and Biology Society, pp. 4899–4902. Lyon, France, 22–26 Aug 2007 Ning, W., Ambikairajah, E., Lovell, N.H., Celler, B.G.: Accelerometry based classification of walking patterns using time-frequency analysis. In: Proceedings of 29th IEEE Annual International Conference Engineering in Medicine and Biology Society, pp. 4899–4902. Lyon, France, 22–26 Aug 2007
15.
Zurück zum Zitat Yunqian, M.A., Hesch, J.A.: Gait classification using wavelet descriptors in pedestrian navigation. In: Proceedings of 24th Institute of Navigation GNSS Conference, pp. 1328–1337. Portland, Oregon (2011) Yunqian, M.A., Hesch, J.A.: Gait classification using wavelet descriptors in pedestrian navigation. In: Proceedings of 24th Institute of Navigation GNSS Conference, pp. 1328–1337. Portland, Oregon (2011)
16.
Zurück zum Zitat West, B.J., Scafetta, N.: Nonlinear dynamical model of human gait. Phys. Rev. E. 67(5), 1–10 (2003) West, B.J., Scafetta, N.: Nonlinear dynamical model of human gait. Phys. Rev. E. 67(5), 1–10 (2003)
18.
19.
Zurück zum Zitat Pinsky, M.A.: Introduction to Fourier Analysis and Wavelets. Graduate Studies in Mathematics, (102), American Mathematical Society (2009) Pinsky, M.A.: Introduction to Fourier Analysis and Wavelets. Graduate Studies in Mathematics, (102), American Mathematical Society (2009)
20.
Zurück zum Zitat Demuth, H., Beale, M.: Neural Network Toolbox for Use with MATLAB, pp. 5-28–5-30. The Mathworks Inc, Natick (2001) Demuth, H., Beale, M.: Neural Network Toolbox for Use with MATLAB, pp. 5-28–5-30. The Mathworks Inc, Natick (2001)
21.
Zurück zum Zitat Kim, Y.K., Park, J.H., Kim, H.W., Hwang, S.Y., Lee, J.M.: Step estimation in accordance with wear position using the 3-axis accelerometer. In: Proceedings of 3rd SPENALO International Symposium. Bexco, Busan, Korea, Sep 2011 Kim, Y.K., Park, J.H., Kim, H.W., Hwang, S.Y., Lee, J.M.: Step estimation in accordance with wear position using the 3-axis accelerometer. In: Proceedings of 3rd SPENALO International Symposium. Bexco, Busan, Korea, Sep 2011
22.
Zurück zum Zitat Nam, Y.: Map-based indoor people localization using an inertial measurement unit. J. Inf. Sci. Eng. 27(4), 1233–1248 (2011)MathSciNet Nam, Y.: Map-based indoor people localization using an inertial measurement unit. J. Inf. Sci. Eng. 27(4), 1233–1248 (2011)MathSciNet
23.
Zurück zum Zitat Ibarra-Bonilla, M.N., Escamilla-Ambrosio, P.J., Ramírez-Cortes, J.M.: Pedestrian dead reckoning towards indoor location based applications. In: Proceedings of 8th International Conference on Electrical Engineering Computing Science and Automatic Control, Yucatán, México, Oct 2011 Ibarra-Bonilla, M.N., Escamilla-Ambrosio, P.J., Ramírez-Cortes, J.M.: Pedestrian dead reckoning towards indoor location based applications. In: Proceedings of 8th International Conference on Electrical Engineering Computing Science and Automatic Control, Yucatán, México, Oct 2011
24.
Zurück zum Zitat Park, S.K., Suh, Y.S.: A zero velocity detection algorithm using inertial sensors for pedestrian navigation systems. Sensors 10(10), 9163–9178 (2010)CrossRef Park, S.K., Suh, Y.S.: A zero velocity detection algorithm using inertial sensors for pedestrian navigation systems. Sensors 10(10), 9163–9178 (2010)CrossRef
Metadaten
Titel
Step Length Estimation and Activity Detection in a PDR System Based on a Fuzzy Model with Inertial Sensors
verfasst von
Mariana Natalia Ibarra-Bonilla
Ponciano Jorge Escamilla-Ambrosio
Juan Manuel Ramirez-Cortes
Jose Rangel-Magdaleno
Pilar Gomez-Gil
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-05170-3_45