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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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)
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)
Dellangnol, X.: Indoor localization based on electric potential sensing. Master’s thesis, Darmstadt, TU, Master Thesis (2015), 81 p
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)
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)
Ficker, T.: Electrification of human body by walking. J. Electrostat. 64(1), 10–16 (2006)
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)
Gabriel, Z., Bowling, A.: Quality of life from the perspectives of older people. Ageing Soc. 24(05), 675–691 (2004)
Gilbert, W., Mottelay, P., Wright, E.: William Gilbert of Colchester, Physician of London: On the Load Stone and Magnetic Bodies. Wiley (1893)
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)
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)
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)
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)
Kurita, K.: New approach to touch sensing technique based on measurement of current generated by electrostatic induction
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)
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)
Mandlik, M., Němec, Z., Vaňkát, T.: Real-time ultrasonic localization using an ultrasonic sensor array
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)
Milstein, A., Sánchez, J.N., Williamson, E.T.: Robust global localization using clustered particle filtering. In: AAAI/IAAI, pp. 581–586 (2002)
Mulloni, A., Wagner, D., Barakonyi, I., Schmalstieg, D.: Indoor positioning and navigation with camera phones. IEEE Pervasive Comput. 8(2), 22–31 (2009)
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)
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)
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)
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)
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)
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)
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)
Priyantha, N.B.: The cricket indoor location system. Ph.D. Thesis, Massachusetts Institute of Technology (2005)
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
von Ramm, O.T., Smith, S.W.: Real-Time Volumetric Ultrasound Imaging System (1990)
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)
Steinhage, A., Hoffmann, R., Lauterbach, C.: Automatische unterscheidung von personen und haustieren auf dem assistenzsystem sensfloor. In: AAL-Kongress 2015. VDE VERLAG GmbH (2015)
Steinhausen, N.: Applications of the electric potential sensor for healthcare and assistive technologies. Ph.D. Thesis, University of Sussex (2014)
Wang, X.J., Lambert, M.F., Simpson, A.R., Vitkovsky, J.P., et al.: Leak detection in pipelines and pipe networks: a review (2001)
Yarovoy, A., Ligthart, L., Matuzas, J., Levitas, B.: Uwb radar for human being detection. IEEE Aerosp. Electron. Syst. Mag. 21(3), 10–14 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Kirchbuchner, F., Fu, B., Braun, A., von Wilmsdorff, J. (2017). New Approaches for Localization and Activity Sensing in Smart Environments. In: Wichert, R., Mand, B. (eds) Ambient Assisted Living. Advanced Technologies and Societal Change. Springer, Cham. https://doi.org/10.1007/978-3-319-52322-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-52322-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52321-7
Online ISBN: 978-3-319-52322-4
eBook Packages: EngineeringEngineering (R0)