A model for addition of user information to sensor data obtained from living environment

Hitoshi Kawasaki, Ren Ohmura, Hirotaka Osawa, Michita Imai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a model for the addition of user information to sensor data. The problem with this addition is that it is difficult to identify a user of objects that are used by multiple people and to define a unique way to identify the user. The proposed model identifies the user by adding user information to sensor data assuming that the objects are used by multiple people. Further, it introduces perspectives for identifying the user by using three policies. By our experiment, we have proved the following: (1) Addition of user information to sensor data by the model is valid. (2) By presenting a difference in policies, it is possible to draw someone's attention.

Original languageEnglish
Title of host publicationCasemans 2009 - The 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
Pages9-17
Number of pages9
DOIs
Publication statusPublished - 2009 Dec 1
Event3rd ACM International Workshop on Context-Awareness for Self-Managing Systems, Casemans 2009 - Nara, Japan
Duration: 2009 May 112009 May 11

Publication series

NameACM International Conference Proceeding Series

Other

Other3rd ACM International Workshop on Context-Awareness for Self-Managing Systems, Casemans 2009
CountryJapan
CityNara
Period09/5/1109/5/11

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Keywords

  • addition of user information
  • attention-drawing
  • context-awareness
  • sensor network

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Kawasaki, H., Ohmura, R., Osawa, H., & Imai, M. (2009). A model for addition of user information to sensor data obtained from living environment. In Casemans 2009 - The 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems (pp. 9-17). (ACM International Conference Proceeding Series). https://doi.org/10.1145/1538864.1538867