Multi-modal sensing smart spaces embedded with WSN based image camera

  • Authors:
  • Sun-Min Hwang;Kyu-Jin Kim;Md. Motaharul Islam;Eui-Nam Huh;W. Huang;V. Foo;A. Tolstikov;Aung Aung;M. Jayachandran;J. Biswas

  • Affiliations:
  • Kyung Hee University, Giheung-gu, Yongin-si, Republic of Korea;Kyung Hee University, Giheung-gu, Yongin-si, Republic of Korea;Kyung Hee University, Giheung-gu, Yongin-si, Republic of Korea;Kyung Hee University, Giheung-gu, Yongin-si, Republic of Korea;Institute for Information Research, A*STAR, Singapore;Institute for Information Research, A*STAR, Singapore;Institute for Information Research, A*STAR, Singapore;Institute for Information Research, A*STAR, Singapore;Institute for Information Research, A*STAR, Singapore;Institute for Information Research, A*STAR, Singapore

  • Venue:
  • Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
  • Year:
  • 2010

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Abstract

In this paper we discuss the use of low frame rate image cameras on a WSN in order to gather micro-context information in the context of smart homes and smart living spaces for the elderly. These simple devices are an attractive alternative to their more heavy duty counterparts since they can gather ambient image data at a rate that is amenable to the ambient space that they are in without much infrastructural support or modification. We propose their use in a multi-modal sensing environment where information from other ambient sensors may be mixed and matched in order to provide intelligence about the space and the activities of the subjects within the space. Their compelling use case, which includes their light weight and ease of mobility makes them a good candidate for a multi-modal sensing smart space. In this paper we introduce our work on architecture of the smart space and the implementation of the feature extraction using the image camera.