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2017 | OriginalPaper | Buchkapitel

Biomimetic Decision Making in a Multisensor Assisted Living Environment

verfasst von : Piotr Augustyniak, Magdalenia Smoleń

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

Various sensors were found adequate to monitor human behavior in natural habitat. Besides metrological factors they were adopted to specific conditions of unobtrusive acquisition in human (e.g. an elder or child). An initial approach focused on use of a single sensor to detect a particular event evolved to behavioral studies based on complex recordings in multisensor environments. In such environment sensors based on different physical principles play complementary role and the resultant detection outperforms any of single component-based if combines the detail information correctly. We follow the rules of neural modulation in human sensory system to propose a biomimetic decision making in multisensor assisted living environment. In our approach each sensor contributes to the final detection accordingly to its presumed reliability in particular human behavior. Moreover, the system learns human habits, predicts most probable future actions from the history and anticipates accordingly the importance of particular sensors.

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Augustyniak, P., Smoleń, M., Broniec, A., Chodak, J.: Data integration in multimodal home care surveillance and communication system. In: Pietka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol. 69, pp. 391–402. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13105-9_39 CrossRef

Augustyniak, P.: Wearable wireless heart rate monitor for continuous long-term variability studies. J. Electrocardiol. 44(2), 195–200 (2011)CrossRef

Augustyniak, P.: Description of human activity using behavioral primitives. In: Burduk, R., et al. (eds.) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, pp. 661–670. Springer, Heidelberg (2013). doi:10.1007/978-3-319-00969-8_65 CrossRef

Augustyniak, P., Smoleń, M., Mikrut, Z., Kańtoch, E.: Seamless tracing of human behavior using complementary wearable and house-embedded sensors. Sensors 14(5), 7831–7856 (2014)CrossRef

Augustyniak, P., Kańtoch, E.: Turning domestic appliances into a sensor network for monitoring of activities of daily living. J. Med. Imaging Health Inf. 5, 1662–1667 (2015)CrossRef

Augustyniak, P., Barczewska, K., Broniec, A., Izworski, A., Kańtoch, E., Orzechowski, T., Przybyło, J., Smoleń, M., Tadeusiewicz, R.: Technical Systems Forming Intelligent Environment for a Disabled Person. EXIT, Warsaw (2015). (In Polish)

Augustyniak, P.: Remotely programmable architecture of a multi-purpose physiological recorder. Microprocess. Microsyst. 46, 55–66 (2016)CrossRef

Badura, P.: Accelerometric signals in automatic balance assessment. Comput. Med. Imaging Graph. 46, 169–177 (2015)CrossRef

Brdiczka, O., Crowley, J.L., Reignier, P.: Learning situation models in a smart home. IEEE Trans. Syst. Man Cybern. Part B Cybern. 39(1), 56–63 (2009)CrossRef

10.

Bujnowski, A., Skalski, L., Wtorek, J.: Monitoring of a bathing person. J. Med. Imag. Health Inform. 2, 27–34 (2012)CrossRef

11.

Das, A., Beatty, P., Dutta, R.: Estimation of physiological body parameters from smart garment data. In: Proceedings of IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2014). doi:10.1109/I2MTC.2014.6860706

12.

Głowacz, A.: Recognition of acoustic signals of induction motors with the use of MSAF10 and Bayes classifier. Arch. Metall. Mater. 61(1), 153–158 (2016)

13.

Kańtoch, E.: Telemedical human activity monitoring system based on wearable sensors network. Comput. Cardiol. 41, 469–472 (2014)

14.

Kańtoch, E.: BAN-based health telemonitoring system for in-home care. Comput. Cardiol. 42, 113–116 (2015)

15.

Koshmak, G., Loutfi, A., Linden, M.: Challenges and issues in multisensor fusion approach for fall detection: review paper. J. Sens., p. 12 (2016). doi:10.1155/2016/6931789

16.

Luhr, S., West, G., Venkatesh, S.: Recognition of emergent human behavior in a smart home: a data mining approach. Pervasive Mob. Comput. 3, 95–116 (2007)CrossRef

17.

Mikrut, Z., Smoleń, M.: A neural network approach to recognition of the selected human motion patterns. Automatics 1(3), 535–543 (2011)

18.

Mikrut, Z., Pleciak, P., Smoleń, M.: Combining pattern matching and optical flow methods in home care vision system. In: Pietka, E., Kawa, J. (eds.) ITIB 2012. LNCS, vol. 7339, pp. 537–548. Springer, Heidelberg (2012). doi:10.1007/978-3-642-31196-3_54 CrossRef

19.

Robben, S., Krse, B.: Longitudinal residential ambient monitoring: correlating sensor data to functional health status. In: Proceedings of 7th International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health), pp. 244–247 (2013)

20.

Ros, M., Cullar, M.P., Delgado, M., Vila, A.: Online recognition of human activities and adaptation to habit changes by means of learning automata and fuzzy temporal windows. Inf. Sci. 220, 86–101 (2013)CrossRef

21.

Ślusarczyk, G., Augustyniak, P.: A graph representation of subject’s time-state space. In: Pietka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol. 69, pp. 379–390. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13105-9_38 CrossRef

22.

Smoleń, M.: Analysis of EEG activity during sleep - brain hemisphere symmetry of two classes of sleep spindles. Pol. J. Med. Phys. Eng. 15(2), 65–75 (2009)

23.

Smoleń, M., Czopek, K., Augustyniak, P.: Sleep evaluation device for home-care. In: Pietka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol. 69, pp. 367–378. Springer, Heidelberg (2010). doi:10.1007/978-3-642-13105-9_37 CrossRef

24.

Smoleń, M., Czopek, K., Augustyniak, P.: Non-invasive sensors based human state in nightlong sleep analysis for home-care. Comput. Cardiol. 37, 45–48 (2010)

25.

Smoleń, M., Kańtoch, E., Augustyniak, P., Kowalski, P.: Wearable patient home monitoring based on ECG and ACC sensors. IFMBE Proc. 37, 941–944 (2011)CrossRef

26.

Smoleń, M., Kańtoch, E., Augustyniak, P.: Wireless body area network system based on ECG and accelerometer pattern. Comput. Cardiol. 38, 245–248 (2011)

27.

Tamura, Y.: Home geriatric physiological measurements. Physiol. Meas. 33(10), R47–R65 (2012)CrossRef

28.

Vu, L., Do, Q., Nahrstedt, K.: Jyotish: constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace. Pervasive Mob. Comput. 7, 690–704 (2011)CrossRef

29.

Wójtowicz, B., Dobrowolski, A., Tomczykiewicz, K.: Fall detector using discrete wavelet decomposition and SVM classifier. Metrol. Meas. Syst. 22(2), 303–314 (2015)CrossRef

Titel: Biomimetic Decision Making in a Multisensor Assisted Living Environment
verfasst von: Piotr Augustyniak
Magdalenia Smoleń
Verlag: Springer International Publishing
Buch: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-319-59062-2

Electronic ISBN: 978-3-319-59063-9

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59063-9_56

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