Abstract
We implemented a system able to locate people indoor, with the purpose of providing assistive services. Such approach is particularly important for the Art, for providing information on exhibitions, art galleries and museums, and to allow the access to the cultural heritage patrimony to people with disabilities.
The system may provide also very important information and input to elderly people, helping them to perceive more deeply the reality and the beauty of art.
The system is based on Beacons, very small and low power consumption devices, and Human Body Communication protocols. The Beacons, Bluetooth Low Energy devices, allow to obtain a position information related to predetermined reference points, and through proximity algorithms, locate a person or an object of interest.
The position obtained has an error that depends from the interferences present in the area. The union of Beacons with Human Body Communication, a recent wireless technology that exploits the human body as a transmission channel, makes it possible to increase the accuracy of localization.
The basic idea is to exploit the localization derived from Beacons to start a search for an electrical signal transmitted by the human body and to distinguish the position according to the information contained in the signal. The signal is transmitted by capacitance to the human body and revealed by a special resonant circuit (antenna) adapted to the microphone input of the mobile device.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Cho, N., Yoo, J., Song, S., Lee, J., Jeon, S., Yoo, H.: The human body characteristics as a signal transmission medium for intrabody communication. IEEE Trans. Microw. Theory Tech. 55(5), 1080–1086 (2007)
Gkelias, A., Zafari. F., Leung, K.: A survey of indoor localization systems and technologies, September 2017
Fish, R.M., Geddes, L.A.: Conduction of electrical current to and through the human body: a review. Eplasty 9, e44 (2009)
Gersheneld, N., Zimmerman, T., Allport, D.: Non-contact system for sensing and signalling by externally induced intra-body currents. US Patent 5,914,701 (1999)
Gervasi, O., Franzoni, V., Riganelli, M., Tasso, S.: Automating facial emotion recognition. Web Intell. 17(1), 17–27 (2019)
Gervasi, O., Magni, R., Ferri, M.: A method for predicting words by interpreting labial movements. In: Gervasi, O., et al. (eds.) ICCSA 2016. LNCS, vol. 9787, pp. 450–464. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42108-7_34
Gervasi, O., Magni, R., Macellari, S.: A brain computer interface for enhancing the communication of people with severe impairment. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8584, pp. 709–721. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09153-2_53
Gervasi, O., Magni, R., Riganelli, M.: Mixed reality for improving tele-rehabilitation practices. In: Gervasi, O., et al. (eds.) ICCSA 2015. LNCS, vol. 9155, pp. 569–580. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21404-7_42
Gervasi, O., Magni, R., Zampolini, M.: Nu!rehavr: virtual reality in neuro tele-rehabilitation of patients with traumatic brain injury and stroke. Virtual Reality 14(2), 131–141 (2010)
Google Inc., Eddystone-eid (ephemeral id), May 2016
Ishii, H.: Tangible bits: beyond pixels. In: Proceedings of the 2nd International Conference on Tangible and Embedded Interaction, TEI 2008, pp. xv–xxv. ACM, New York (2008)
Ishii, H.: SIGCHI lifetime research award talk: Making digital tangible (2019)
Moghtadaiee, V., Dempster, A.G., Lim, S.: Indoor localization using fm radio signals: a fingerprinting approach. In: 2011 International Conference on Indoor Positioning and Indoor Navigation, pp. 1–7, September 2011
Ansari, I.S., Granelli, F., Usman, M., Asghar, M.R., Qaraqe, K.A.: Technologies and solutions for location-based services in smart cities: past, present, and future. IEEE Access 6, 22248–22248 (2018)
Riganelli, M., Franzoni, V., Gervasi, O., Tasso, S.: EmEx, a tool for automated emotive face recognition using convolutional neural networks. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10406, pp. 692–704. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62398-6_49
Shit, R.C., Sharma, S., Puthal, D., Zomaya, A.Y.: Location of things (lot): a review and taxonomy of sensors localization in IOT infrastructure. IEEE Commun. Surv. Tutorials 20(3), 2028–2061 (2018)
Zampolini, M., Magni, R., Gervasi, O.: An X3D approach to neuro-rehabilitation. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008. LNCS, vol. 5073, pp. 78–90. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69848-7_8
Zelenkauskaite, A., Bessis, N., Sotiriadis, S., Asimakopoulou, E.: Interconnectedness of complex systems of internet of things through social network analysis for disaster management. In: 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems, pp. 503–508, September 2012
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gervasi, O., Fortunelli, M., Magni, R., Perri, D., Simonetti, M. (2019). Mobile Localization Techniques Oriented to Tangible Web. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-24289-3_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24288-6
Online ISBN: 978-3-030-24289-3
eBook Packages: Computer ScienceComputer Science (R0)