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Stone-Type Physiological Sensing Device for Daily Monitoring in an Ambient Intelligence Environment

  • Conference paper
Ambient Intelligence (AmI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5355))

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Abstract

Recently there has been increasing research into mobile physiological sensing devices to explore the benefits in the areas of monitoring health and well-being. However, previous works have mainly focused on functionality, and less so on affective shape, comfort use, and stable sensing. In this work, we propose a stone-type physiological sensing device for general users, rather than professional experts. We found that our device was comfortable, stable and had aesthetic appeal for users during monitoring. To develop an affective shape, and to increase comfort, we applied a user-centered design process. We also used context-based physiological signal analysis to obtain stable analysis results according to individual users. As an application, we developed a rainbow ambient display to give visual feedback to users. We expect that this product can be applied in various healthcare applications.

This research is supported by Foundation of UCN Project, the MKE 21st Century Frontier R&D Program in Korea and is a result of subproject UCN 08B3-O1-20S.

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Author information

Authors and Affiliations

  1. GIST U-VR Lab., Gwangju, 500-712, South Korea

    Ahyoung Choi, Yoosoo Oh & Woontack Woo

  2. GIST CTI, Gwangju, 500-712, South Korea

    Goeun Park & Woontack Woo

Authors
  1. Ahyoung Choi
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  2. Yoosoo Oh
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  3. Goeun Park
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  4. Woontack Woo
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Editor information

Editors and Affiliations

  1. Philips Research Europe, Media Interaction Department, High Tech Campus 34-WB-5.27, 5656 AE, Eindhoven, The Netherlands

    Emile Aarts

  2. INRIA Rhône-Alpes, Montbonnot, France

    James L. Crowley

  3. Philips Research, Media Interaction, Prof. Holstlaan 4, 5656 AE, Eindhoven, The Netherlands

    Boris de Ruyter

  4. Fraunhofer IIS, Erlangen, Germany

    Heinz Gerhäuser  & Janina Schmidt  & 

  5. Fraunhofer-ATL, Nürnberg, Germany

    Alexander Pflaum

  6. Fraunhofer-IGD, Interactive Multimedia Appliances, Fraunhoferstr. 5, 64283, Darmstadt, Germany

    Reiner Wichert

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Choi, A., Oh, Y., Park, G., Woo, W. (2008). Stone-Type Physiological Sensing Device for Daily Monitoring in an Ambient Intelligence Environment. In: Aarts, E., et al. Ambient Intelligence. AmI 2008. Lecture Notes in Computer Science, vol 5355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89617-3_22

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  • DOI: https://doi.org/10.1007/978-3-540-89617-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89616-6

  • Online ISBN: 978-3-540-89617-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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