Abstract
In this paper, we present SPW-1; a low-profile versatile wearable activity tracker that employs two ultra-low-power accelerometers and relies on Bluetooth Low Energy (BLE) for wireless communication. Aiming for a low maintenance system, SPW-1 is able to offer a battery lifetime of multiple months. Measurements on its wireless performance in a real residential environment with thick brick walls, demonstrate that SPW-1 can fully cover a room and - in most cases - the adjacent room, as well. SPW-1 is a research platform that is aimed to be used both as a data collecting tool for health-oriented studies outside the laboratory, but also for research on wearable technologies and body-centric communications. As a result, SPW-1 incorporates versatile features, such as external sensor support, various powering options, and accelerometer configuration options that can support a wide range applications from kinematics to long-term activity recognition.
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References
Abdullah, M.W., Fafoutis, X., Mellios, E., Klemm, M., Hilton, G.: Investigation into off-body links for wrist mounted antennas in bluetooth systems. In: Proceedings of the Loughborough Antennas and Propagation Conference (LAPC) (2015)
Analod Devices: ADXL362 - Micropower, 3-Axis, \(\pm \)2 g / \(\pm \)4 g / \(\pm \)8 g, Digital Output MEMS Accelerometer, Rev. B (2013)
Bergmann, J., McGregor, A.: Body-worn sensor design: What do patients and clinicians want? Ann. Biomed. Eng. 39(9), 2299 (2011)
Bluetooth SIG.: Specification of the Bluetooth System - Covered Core Package version: 4.0 (2010)
Chan, M., Estève, D., Fourniols, J.Y., Escriba, C., Campo, E.: Smart wearable systems: current status and future challenges. Artif. Intell. Med. 56(3), 137–156 (2012)
Cheng, J., Chen, X., Shen, M.: A framework for daily activity monitoring and fall detection based on surface electromyography and accelerometer signals. IEEE J. Biomed. Health Inf. 17(1), 38–45 (2013)
Cruz-Jentoft, A.J., Franco, A., Sommer, P., Baeyens, J.P., Jankowska, E., Maggi, A., Ponikowski, P., Rys, A., Szczerbinska, K., Michel, J.P., Milewicz, A.: Silver paper: the future of health promotion and preventive actions, basic research, and clinical aspects of age-related disease-a report of the European Summit on Age-Related Disease. Aging Clin. Exp. Res. 21(6), 376–385 (2009)
Department of Economic and Social Affairs - United Nations: World Population Ageing: 1950–2050. Technical report (2011)
Fafoutis, X., Di Mauro, A., Dragoni, N.: Sustainable medium access control: Implementation and evaluation of odmac. In: Proceedings of the IEEE International Conference on Communications Workshops (ICC), pp. 407–412, June 2013
Fafoutis, X., Tsimbalo, E., Mellios, E., Hilton, G., Piechocki, R., Craddock, I.: A residential maintenance-free long-term activity monitoring system for healthcare applications. EURASIP J. Wirel. Commun. Netw. 2016(31), 1 (2016)
Gupta, P., Dallas, T.: Feature selection and activity recognition system using a single triaxial accelerometer. IEEE Trans. Biomed. Eng. 61(6), 1780–1786 (2014)
Kan, Y.C., Chen, C.K.: A wearable inertial sensor node for body motion analysis. IEEE Sens. J. 12(3), 651–657 (2012)
Karadogan, S., Marchegiani, L., Hansen, L., Larsen, J.: How efficient is estimation with missing data? In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2260–2263. IEEE (2011)
Kooiman, T.J.M., Dontje, M.L., Sprenger, S.R., Krijnen, W.P., van der Schans, C.P., de Groot, M.: Reliability and validity of ten consumer activity trackers. BMC Sports Sci. Med. Rehabil. 7(1), 24 (2015)
Lee, S., Polito, S., Agell, C., Mitra, S., Firat Yazicioglu, R., Riistama, J., Habetha, J., Penders, J.: A low-power and compact-sized wearable bio-impedance monitor with wireless connectivity. J. Phys. Conf. Ser. 434(1), 012013 (2013)
Maurer, U., Smailagic, A., Siewiorek, D., Deisher, M.: Activity recognition and monitoring using multiple sensors on different body positions. In: International Workshop on Wearable and Implantable Body Sensor Networks (BSN) (2006)
Nordic Semi: nRF51822 Development Kit - User Guide v1.4 (2013)
Oletic, D., Arsenali, B., Bilas, V.: Low-power wearable respiratory sound sensing. Sensors (Basel) 14(4), 6535–6566 (2014)
Pearson, H.: Children of the 90s: coming of age. Nature 484, 155–158 (2012)
Siekkinen, M., Hiienkari, M., Nurminen, J., Nieminen, J.: How low energy is bluetooth low energy? Comparative measurements with ZigBee/802.15.4. In: Proceedings of the IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 232–237 (2012)
Tsai, Y.L., Tu, T.T., Bae, H., Chou, P.: Ecoimu: a dual triaxial-accelerometer inertial measurement unit for wearable applications. In: Proceedings of the International Conference on Body Sensor Networks (BSN), pp. 207–212, June 2010
Tsimbalo, E., Fafoutis, X., Piechocki, R.: Fix it, Dont bin it! - CRC error correction in bluetooth low energy. In: Proceedings of the 2nd IEEE World Forum on Internet of Things (WF-IoT) (2015)
Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., Kwak, K.: A comprehensive survey of wireless body area networks. J. Med. Syst. 36(3), 1065–1094 (2012)
Winkley, J., Jiang, P., Jiang, W.: Verity: an ambient assisted living platform. IEEE Trans. Consum. Electron. 58(2), 364–373 (2012)
Woznowski, P., Fafoutis, X., Song, T., Hannuna, S., Camplani, M., Tao, L., Paiement, A., Mellios, E., Haghighi, M., Zhu, N., Hilton, G., Damen, D., Burghardt, T., Mirmehdi, M., Piechocki, R., Kaleshi, D., Craddock, I.: A multi-modal sensor infrastructure for healthcare in a residential environment. In: Proceedings of the International Conference on Communications (ICC) Workshops (2015)
Zhang, Y., Markovic, S., Sapir, I., Wagenaar, R., Little, T.: Continuous functional activity monitoring based on wearable tri-axial accelerometer and gyroscope. In: Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 370–373 (2011)
Ziefle, M., Rocker, C.: Acceptance of pervasive healthcare systems: a comparison of different implementation concepts. In: Proceedings of the 4th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 1–6 (2010)
Acknowledgment
This work was performed under the SPHERE (a Sensor Platform for Healthcare in a Residential Environment) IRC funded by EPSRC, Grant EP/K031910/1. We would also like to thank Altium Ltd and Premier EDA Solutions Ltd for sponsoring Altium Designer licenses, and Simtek EMS Ltd for partially sponsoring and performing PCB and prototype production services.
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Fafoutis, X. et al. (2017). SPW-1: A Low-Maintenance Wearable Activity Tracker for Residential Monitoring and Healthcare Applications. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_37
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DOI: https://doi.org/10.1007/978-3-319-49655-9_37
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