Physical approach in smart homes: a proposition and a prototype
ruSMART/NEW2AN'10 Proceedings of the Third conference on Smart Spaces and next generation wired, and 10th international conference on Wireless networking
Detection of falls among the elderly by a floor sensor using the electric near field
IEEE Transactions on Information Technology in Biomedicine
Human body tracking with electric field ranging
Proceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments
Robust System for Indoor Localisation and Identification for the Health Care Environment
Wireless Personal Communications: An International Journal
Unobtrusive human height and posture recognition with a capacitive sensor
Journal of Ambient Intelligence and Smart Environments
Unobtrusive human height and posture recognition with a capacitive sensor
Journal of Ambient Intelligence and Smart Environments
Capacitive indoor positioning and contact sensing for activity recognition in smart homes
Journal of Ambient Intelligence and Smart Environments
Review: A survey of active and passive indoor localisation systems
Computer Communications
Capacitive 3D user tracking with a mobile demonstration platform
Proceeding of the 16th International Academic MindTrek Conference
SCPL: indoor device-free multi-subject counting and localization using radio signal strength
Proceedings of the 12th international conference on Information processing in sensor networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Device-free people counting and localization
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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Accurate, simple and affordable methods for passive indoor tracking of human beings are still missing. In this article, we describe the development of an unobtrusive two-dimensional human positioning system based on low-frequency electric fields. The system's operation is based on measuring the capacitance between multiple floor tiles and a receiving electrode. The presented system is invisible to the user and uses a single-chip solution to measure the capacitances. The implemented system is evaluated with two different types of receiving electrodes and the results are presented. With the used tiles, the system can locate a standing human with at least 15 cm accuracy and track a walking person with at least 41 cm accuracy. The update rate of the system is 10 Hz.