Precision Indoor Objects Positioning Based on Phase Measurements of Microwave Signals

Shirokov, I.B.

doi:10.1007/978-3-642-33533-4_7

Cited by 17 publications

(3 citation statements)

References 5 publications

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“…The server calculates badge position. The work in reference [ 30 ] presents a method for indoor positioning using microwave signals. For this purpose, beacons and transponders are used.…”

Section: Related Workmentioning

confidence: 99%

“…On the contrary, WiFi capabilities present in a smart-watch attached to the wrist of the user is used in our work. No new infrastructures are required for using our system, so the only cost is the acquisition price of the smart-watch, in contrast with systems where deploying some infrastructures is needed, for example those relying on cameras [ 33 , 34 ], beacons [ 28 , 30 , 31 ], or infrared sensors [ 23 , 24 , 32 ]. Most of the analyzed, including the presented work, scale well with the only exception of [ 27 ] based on capacitive sensors.…”

Section: Related Workmentioning

confidence: 99%

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An Indoor Positioning System Based on Wearables for Ambient-Assisted Living

Belmonte-Fernández

Puertas-Cabedo

Torres-Sospedra

et al. 2016

Sensors

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The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world’s population will live in cities, with flats being the most common living place. Moreover, WiFi technology is present in most developed country urban areas, with a quick growth in developing countries. New Ambient-Assisted Living applications will be developed in the near future having user positioning as ground technology: elderly tele-care, energy consumption, security and the like are strongly based on indoor positioning information. We present an indoor positioning system for wearable devices based on WiFi fingerprinting. Smart-watch wearable devices are used to acquire the WiFi strength signals of the surrounding Wireless Access Points used to build an ensemble of Machine Learning classification algorithms. Once built, the ensemble algorithm is used to locate a user based on the WiFi strength signals provided by the wearable device. Experimental results for five different urban flats are reported, showing that the system is robust and reliable enough for locating a user at room level into his/her home. Another interesting characteristic of the presented system is that it does not require deployment of any infrastructure, and it is unobtrusive, the only device required for it to work is a smart-watch.

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“…The server calculates badge position. The work in reference [ 30 ] presents a method for indoor positioning using microwave signals. For this purpose, beacons and transponders are used.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Indoor Positioning System Based on Wearables for Ambient-Assisted Living

Belmonte-Fernández

Puertas-Cabedo

Torres-Sospedra

et al. 2016

Sensors

View full text Add to dashboard Cite

show abstract

“…Opposed to positioning systems that do not require any infrastructure to work with, like positioning systems based on the magnetic field of the Earth (Li et al, 2012), infrastructure based positioning systems need some kind of infrastructures to work with. Presented systems use cameras (Helal et al, 2009;Doukas & Maglogiannis, 2011), IR sensors (Noury et al, 2000;Demongeot et al, 2002;Costa et al, 2014); RFID technology (Calderoni et al, 2015); beacons (Tapia et al, 2012;Shirokov, 2012;Fernández-Llatas et al, 2013); and sound (Lopes et al, 2015;Cobos et al, 2016).…”

Section: Introductionmentioning

confidence: 99%