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Erschienen in:
Integration of Stationary and Wearable Support Services for an Actively Assisted Living of Elderly People: Capabilities, Achievements, Limitations, Prospects—A Case Study Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

New Approaches for Localization and Activity Sensing in Smart Environments

verfasst von : Florian Kirchbuchner, Biying Fu, Andreas Braun, Julian von Wilmsdorff

Erschienen in: Ambient Assisted Living

Verlag: Springer International Publishing

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Abstract

Smart environments need to be able to fulfill the wishes of its occupants unobtrusively. To achieve this goal, it has to be guaranteed that the current state environment is perceived at all times. One of the most important aspects is to find the current position of the inhabitants and to perceive how they move in this environment. Numerous technologies enable such supervision. Particularly challenging are marker-free systems that are also privacy-preserving. In this paper, we present two such systems for localizing inhabitants in a Smart Environment using—electrical potential sensing and ultrasonic Doppler sensing. We present methods that infer location and track the user, based on the acquired sensor data. Finally, we discuss the advantages and challenges of these sensing technologies and provide an overview of future research directions.

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Vorheriges Kapitel LivingCare—An Autonomously Learning, Human Centered Home Automation System: Collection and Preliminary Analysis of a Large Dataset of Real Living Situations
Nächstes Kapitel Technology Supported Geriatric Assessment
Literatur
1.
Braun, A., Heggen, H., Wichert, R.: Capfloor–a flexible capacitive indoor localization system. In: Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking, pp. 26–35. Springer (2012)
2.
Breitenstein, M.D., Reichlin, F., Leibe, B., Koller-Meier, E., Van Gool, L.: Online multiperson tracking-by-detection from a single, uncalibrated camera. IEEE Trans. Pattern Anal. Mach. Intell. 33(9), 1820–1833 (2011)CrossRef
3.
Dellangnol, X.: Indoor localization based on electric potential sensing. Master’s thesis, Darmstadt, TU, Master Thesis (2015), 81 p
4.
Demiris, G., Rantz, M.J., Aud, M.A., Marek, K.D., Tyrer, H.W., Skubic, M., Hussam, A.A.: Older adults’ attitudes towards and perceptions of smart home technologies: a pilot study. Inform. Health Soc. Care 29(2), 87–94 (2004)
5.
Demirkus, M., Garg, K., Guler, S.: Automated person categorization for video surveillance using soft biometrics. In: SPIE Defense, Security, and Sensing, pp. 76670P–76670P. International Society for Optics and Photonics (2010)
6.
Ficker, T.: Electrification of human body by walking. J. Electrostat. 64(1), 10–16 (2006)CrossRef
7.
Fu, B., Karolus, J., Grosse-Puppendahl, T., Hermann, J., Kuijper, A.: Opportunities for activity recognition using ultrasound doppler sensing on unmodified mobile phones. In: iWOAR 2015, p. 10. Association for Computing Machinery (ACM), ACM Press, New York (2015)
8.
Gabriel, Z., Bowling, A.: Quality of life from the perspectives of older people. Ageing Soc. 24(05), 675–691 (2004)CrossRef
9.
Gilbert, W., Mottelay, P., Wright, E.: William Gilbert of Colchester, Physician of London: On the Load Stone and Magnetic Bodies. Wiley (1893)
10.
Gupta, S., Morris, D., Patel, S., Tan, D.: Soundwave: using the doppler effect to sense gestures. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1911–1914. CHI ’12 (2012)
11.
Hao-hao, H., Jun-Qiao, X.: A method of liquid level measurement based on ultrasonic echo characteristics. In: 2010 International Conference on Computer Application and System Modeling (ICCASM), vol. 11, pp. V11-682–V11-684 (2010)
12.
Keller, H.J.: Advanced passive infrared presence detectors as key elements in integrated security and building automation systems. In: Security Technology, 1993. In: 1993 International Carnahan Conference on Security Technology, Proceedings. Institute of Electrical and Electronics Engineers, pp. 75–77. IEEE (1993)
13.
Kirchbuchner, F., Grosse-Puppendahl, T., Hastall, M.R., Distler, M., Kuijper, A.: Ambient intelligence from senior citizens perspectives: understanding privacy concerns, technology acceptance, and expectations. In: Ambient Intelligence, pp. 48–59. Springer (2015)
14.
Kurita, K.: New approach to touch sensing technique based on measurement of current generated by electrostatic induction
15.
Lee, H.K., Kim, J.H.: An hmm-based threshold model approach for gesture recognition. IEEE Trans. Pattern Anal. Mach. Intell. 21(10), 961–973 (1999)CrossRef
16.
Lo, D., Mendonça, P.R., Hopper, A., et al.: Trip: a low-cost vision-based location system for ubiquitous computing. Pers. Ubiquitous Comput. 6(3), 206–219 (2002)CrossRef
17.
Mandlik, M., Němec, Z., Vaňkát, T.: Real-time ultrasonic localization using an ultrasonic sensor array
18.
Mautz, R., Tilch, S.: Survey of optical indoor positioning systems. In: 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–7. IEEE (2011)
19.
Milstein, A., Sánchez, J.N., Williamson, E.T.: Robust global localization using clustered particle filtering. In: AAAI/IAAI, pp. 581–586 (2002)
20.
Mulloni, A., Wagner, D., Barakonyi, I., Schmalstieg, D.: Indoor positioning and navigation with camera phones. IEEE Pervasive Comput. 8(2), 22–31 (2009)CrossRef
21.
Naghibzadeh, S., Pandharipande, A., Caicedo, D., Leus, G.: Indoor granular presence sensing with an ultrasonic circular array sensor. In: 2014 IEEE International Symposium on Intelligent Control (ISIC), pp. 1644–1649. IEEE (2014)
22.
Nandakumar, R., Gollakota, S., Watson, N.: Contactless sleep apnea detection on smartphones. In: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services, pp. 45–57. MobiSys ’15 (2015)
23.
Nirjon, S., Liu, J., DeJean, G., Priyantha, B., Jin, Y., Hart, T.: Coin-gps: indoor localization from direct gps receiving. In: Proceedings of the 12th Annual International Conference on Mobile Systems, Applications, and Services, pp. 301–314. ACM (2014)
24.
Nishida, Y., Hori, T., Murakami, S., Mizoguchi, H.: Minimally privacy-violative system for locating human by ultrasonic radar embedded on ceiling. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, vol. 2, pp. 1549–1554 (2004)
25.
Prance, H., Watson, P., Prance, R.J., Beardsmore-Rust, S.T.: Position and movement sensing at metre standoff distances using ambient electric field. Measur. Sci. Technol. 23(11), 115101 (2012)CrossRef
26.
Prance, R.J., Beardsmore-Rust, S.T., Watson, P., Harland, C.J., Prance, H.: Remote detection of human electrophysiological signals using electric potential sensors. Appl. Phys. Lett. 93(3) (2008)
27.
Prance, R., Debray, A., Clark, T., Prance, H., Nock, M., Harland, C., Clippingdale, A.: An ultra-low-noise electrical-potential probe for human-body scanning. Measur. Sci. Technol. 11(3), 291–297 (2000)CrossRef
28.
Priyantha, N.B.: The cricket indoor location system. Ph.D. Thesis, Massachusetts Institute of Technology (2005)
29.
Pu, Q., Gupta, S., Gollakota, S., Patel, S.: Whole-home gesture recognition using wireless signals. In: Proceedings of the 19th Annual International Conference on Mobile Computing and Networking, pp. 27–38. MobiCom ’13, ACM, New York (2013). doi:10.​1145/​2500423.​2500436
30.
von Ramm, O.T., Smith, S.W.: Real-Time Volumetric Ultrasound Imaging System (1990)
31.
Rekimoto, J., Wang, H.: Sensing gamepad: electrostatic potential sensing for enhancing entertainment oriented interactions. In: Extended Abstracts on Human Factors in Computing Systems, pp. 1457–1460 (2004)
32.
Steinhage, A., Hoffmann, R., Lauterbach, C.: Automatische unterscheidung von personen und haustieren auf dem assistenzsystem sensfloor. In: AAL-Kongress 2015. VDE VERLAG GmbH (2015)
33.
Steinhausen, N.: Applications of the electric potential sensor for healthcare and assistive technologies. Ph.D. Thesis, University of Sussex (2014)
34.
Wang, X.J., Lambert, M.F., Simpson, A.R., Vitkovsky, J.P., et al.: Leak detection in pipelines and pipe networks: a review (2001)
35.
Yarovoy, A., Ligthart, L., Matuzas, J., Levitas, B.: Uwb radar for human being detection. IEEE Aerosp. Electron. Syst. Mag. 21(3), 10–14 (2006)CrossRef
Metadaten
Titel
New Approaches for Localization and Activity Sensing in Smart Environments
verfasst von
Florian Kirchbuchner
Biying Fu
Andreas Braun
Julian von Wilmsdorff
Copyright-Jahr
2017
Buch
Ambient Assisted Living

Print ISBN: 978-3-319-52321-7

Electronic ISBN: 978-3-319-52322-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52322-4_5

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