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Smartphone based multimodal activity detection system using plantar pressure sensors

Published: 24 March 2014 Publication History

Abstract

There have been numerous efforts to detect human physical activities automatically. Healthcare professionals who want to monitor patients remotely, people who want to know their measure of physical activity objectively, or people who develop context-sensitive systems are interested in such systems. A majority of such systems use accelerometers to collect data from different parts of the body. Recently, some systems have used the accelerometer and gyroscope sensors of smart phones to develop unobtrusive systems. Such systems require users to carry smart phones with them. Such requirement limits the practical usability of these systems because people often place their phones on the table while sitting and women usually carry phones in their purses. We have developed a multimodal system where we used pressure sensor data from shoes along with accelerometers and gyroscope data from smart phones to make a more robust system. In this paper, we present our novel activity detection system along with evaluation briefly.

References

[1]
Caspersen, C. J.; Powell, K. E.; Christenson, G. M. Physical activity, exercise and physical fitness: Definitions and distinctions for health-related research. Public. Health. Rep. 1985, 110, 126--131.
[2]
Bao, L. and Intille, S. 2004. Activity recognition from user-annotated acceleration data. Lecture Notes Computer Science 3001, 1--17.
[3]
Choudhury, T., Consolvo, S., Harrison, B., Hightower, J., LaMarca, A., LeGrand, L., Rahimi, A., Rea, A., Borriello, G., Hemingway, B., Klasnja, P., Koscher, K., Landay, J. A., Lester, J., Wyatt, D. and Haehnel, D. 2008. The Mobile Sensing Platform: an Embedded System for Capturing and Recognizing Human Activities, In IEEE Pervasive Computing Magazine, Spec. Issue on Activity-Based Computing, April-June 2008.
[4]
Foerster, F., Smeja, M. and Fahrenberg, J. 1999. Detection of posture and motion by accelerometry: A validation study in ambulatory monitoring. Comput. Hum. Beh. 15, 5, 571--583.
[5]
L. Shu, T. Hua, Y. Wang, Q. Qiao Li, D. D. Feng, and X. Tao, "In-shoe plantar pressure measurement and analysis system based on fabric pressure sensing array.," IEEE Transactions on Information Technology in Biomedicine, vol. 14, May. 2010, pp. 767--75

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  1. Smartphone based multimodal activity detection system using plantar pressure sensors

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    cover image ACM Conferences
    SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
    March 2014
    1890 pages
    ISBN:9781450324694
    DOI:10.1145/2554850
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    Published: 24 March 2014

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    Author Tags

    1. accelerometer
    2. activity detection
    3. decision tree
    4. phone behavior pattern
    5. pressure sensor
    6. smart phone
    7. unobtrusive system

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    March 24 - 28, 2014
    Gyeongju, Republic of Korea

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    SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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