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MuSA: Wearable Multi Sensor Assistant for Human Activity Recognition and Indoor Localization

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Ambient Assisted Living

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 11))

Abstract

In this paper a wearable multi-sensor device is used for a Behavioral Analysis (BA) focused on Human Activity Recognition (HAR) and Indoor Localization (IL). The analysis exploit a wearable device equipped with inertial sensors like accelerometer, gyroscope and compass in order to evaluate quantity and quality of movements.

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References

  1. Losardo, A., Grossi, F., Matrella, G., De Munari, I., Ciampolini, P.: Exploiting AAL Environment for Behavioral Analysis. In: Assistive technology: from research to practice, Assistive Technology Research Series, vol. 33, pp. 1121–1125 (2003)

    Google Scholar 

  2. Chen,W.-K.: Linear Networks and Systems, pp. 123–135. Belmont, CA, Wadsworth (1993)

    Google Scholar 

  3. Bianchi, V., Grossi, F., De Munari, I., Ciampolini, P.: Multi Sensor Assistant: A Multisensor Wearable Device for Ambient Assisted Living. J. Med. Imaging Health Inf. 2, 70–75 (2012)

    Article  Google Scholar 

  4. CC2531 Soc, Texas Instruments web site: www.ti.com

  5. ZigBee PRO, standard protocol, ZigBee Alliance, web site: http://www.zigbee.org/Standards (2007)

  6. Mazzanti, B., Lamberti, C., De Bie, J.: Validation of an ECG-derived respiration monitoring method. IEEE Proc. Comput. Cardiol. (2003). doi:10.1109/CIC.2003.1291230

    MATH  Google Scholar 

  7. iNemo LSM9DS0, ST. web site: www.st.com

  8. Lara, O.D., Labrador, M.A.: A survey on human activity recognition using wearable sensors. IEEE Commun. Surv. Tut. 15(3), Third Quarter (2013)

    Google Scholar 

  9. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Proceedings of 2nd International Conference on Pervasive computing, pp. 1–17 (2004)

    Google Scholar 

  10. Mathie, M., Coster, A., Lovell, N., Celler, B.: Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas. 25(2), R1–R20 (2004)

    Article  Google Scholar 

  11. Bouten, C., Koekkoek, K., Verduin, M., Kodde, R., Janssen, J.: A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Trans. Biomed. Eng. 44(3), 136–147 (1997)

    Article  Google Scholar 

  12. Karantonis, D., Narayanan, M., Mathie, M., Lovell, N., Celler, B.: 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)

    Article  Google Scholar 

  13. Karantonis, D., Narayanan, M., Mathie, M., Lovell, N., Celler, B.: 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)

    Article  Google Scholar 

  14. Tapia, E.M., Intille, S.S., Haskell, W., Larson, K., Wright, J., King, A., Friedman, R.: Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart monitor. In: Proceedings of the 11th IEEE International Symposium on Wearable Computers, Boston, US, 11–13 Oct 2007, pp. 37–40. doi:10.1109/ISWC.2007.4373774

  15. Randell, C., Muller, H.: Context awareness by analyzing accelerometer data. In: The Fourth International Symposium on Wearable Computers, pp. 175–176 (2000)

    Google Scholar 

  16. MATHIE, M., BASILAKIS, J., and CELLER, B. G.: A system formonitoring posture and physical activity using accelerometers. In: 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey (2001)

    Google Scholar 

  17. Shih,W., Chen, L., Lan, K.: Estimating walking distance with a smart phone, In: 2012 Fifth International Symposium on Parallel Architectures, Algorithms and Programming, pp. 166–171, Taipei (2012)

    Google Scholar 

  18. Winberg, H.: Using the adxl202 in pedometer and personal navigation applications. Application Notes, American Devices (2002)

    Google Scholar 

  19. Guerra,C., Montalto, F., Bianchi, V., De Munari, I.,Ciampolini, P.: A Low-Cost zigbee-based gateway system to detect and identify the passage of a person, ForitALL 2014, submitted

    Google Scholar 

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Correspondence to F. Montalto .

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Montalto, F., Guerra, C., Bianchi, V., De Munari, I., Ciampolini, P. (2015). MuSA: Wearable Multi Sensor Assistant for Human Activity Recognition and Indoor Localization. In: Andò, B., Siciliano, P., Marletta, V., Monteriù, A. (eds) Ambient Assisted Living. Biosystems & Biorobotics, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-18374-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-18374-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18373-2

  • Online ISBN: 978-3-319-18374-9

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