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Falls and fainting detection through movement interaction

Published: 03 October 2012 Publication History

Abstract

Healthcare centers have always been an essential scenario where apply new technologies in order to improve their conditions and solve problems. New movement interaction sensors have allowed the development of new solutions to solve a critical situation: the automatic falls and fainting detection. In this paper, we present a ubiquitous and context-aware system, focused on residential care homes, which uses Kinect to detect automatically anomalous postures. The system controls residents' postures through a procedure based on alert states and advice notes. Any anomalous posture is analyzed. Then, the system may consider to activate warnings or even to ask for the most adequate employee to react urgently.

References

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Arnrich, B., Mayora, O., Bardram, J., Tröster, G. 2010. Pervasive Healthcare, Paving the Way for a Pervasive, User-Centered and Preventive Healthcare Model. Methods of Information in Medicine, 1, 67--73
[2]
Bardram, J. E. 2004 Application of Context-Aware Computing on Hospital Work -- Examples and Design Principles. In Proceedings of 2004 ACM symposium on applied computing.
[3]
Xinguo Yu. 2008. Approaches and principles of fall detection for elderly and patient. In HealthCom 2008, 10th International Conference on e-health Networking, Applications and Services, 42--47.
[4]
Weiser, M. 1991. The computer for the 21st century. Scientific American 265, 3, 94--10
[5]
Ahn, C., Nah, Y. 2010. Design of Location-based Web Service Framework for COntext-Aware Applications in Ubiquitous Environments. In 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, 426--433.
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Bardram, J. E., Hansen, T. R. 2010. Context-Based Workplace Awareness. In Computer-Supported Cooperative Work 2010, 19, 105--138.

Cited By

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  • (2018)Depth-Sensor Applications for the Elderly: A Viable Option to Promote a Better Quality of LifeIEEE Consumer Electronics Magazine10.1109/MCE.2017.26928007:1(47-56)Online publication date: Jan-2018

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Published In

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INTERACCION '12: Proceedings of the 13th International Conference on Interacción Persona-Ordenador
October 2012
193 pages
ISBN:9781450313148
DOI:10.1145/2379636

Sponsors

  • KAU: King Abdulaziz University, Saudi Arabia
  • UCLM: University of Castilla-La Mancha

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2012

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Author Tags

  1. collaboration
  2. context-awareness
  3. healthcare
  4. ubiquity

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  • Research-article

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INTERACCION '12
Sponsor:
  • KAU
  • UCLM

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Overall Acceptance Rate 109 of 163 submissions, 67%

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Cited By

View all
  • (2018)Depth-Sensor Applications for the Elderly: A Viable Option to Promote a Better Quality of LifeIEEE Consumer Electronics Magazine10.1109/MCE.2017.26928007:1(47-56)Online publication date: Jan-2018

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