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Easy-to-Install Methods for Indoor Context Recognition Using Wi-Fi Signals

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10922)

Abstract

Indoor context information such as user positions and activities is essential to implement a variety of context-aware applications such as a home automation system and a surveillance system for an independently living elderly person. Due to the recent development of wireless communication technologies, indoor context recognition using Wi-Fi signals has been attracting attention. This paper introduces our studies on recognition of indoor context information based on Wi-Fi signals: (1) easy-to-install indoor positioning, (2) accurate state estimation of indoor objects, and (3) position-independent gesture recognition.

Keywords

Context recognition Device-free passive localization Open/close event Gesture recognition Wi-Fi channel state information 

Notes

Acknowledgment

This work is partially supported by JST CREST JPMJCR15E2, JSPS KAKENHI Grant Number JP16H06539, JP17J06602, and JP17H04679.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Osaka UniversitySuitaJapan

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