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Feature extractors for integration of cameras and sensors during end-user programming of assistive monitoring systems

Published: 10 October 2011 Publication History

Abstract

Assistive monitoring systems increasingly include cameras along with sensors. End-users require the capability to program such systems to monitor user-specified events and provide customized notifications in response. We introduce feature extractors, which provide a means for integrating camera video with sensor data. A feature extractor takes a video stream as input, and outputs a stream of integer values corresponding to the amount of a particular sensor phenomenon such as motion, sound, or light, or of more advanced phenomena such as human motion, screams, or falls. Feature extractors provide an elegant means for end-users to integrate cameras into their monitoring programs. We introduce feature extractors, provide examples illustrating their effectiveness for various common assistive monitoring scenarios, and summarize usability trials with 51 lay users demonstrating 56%-96% correct utilization of feature extractors.

References

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Edgcomb, A. F. Vahid. Monitoring and Notification Flow Language. May 2011. http://static.cs.ucr.edu/store/techreports/UCR-CS-2011-05100.pdf.
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Eizmendi, G. and G. M. Craddock. Challenges for Assistive Technology. Association for the Advancement of Assistive Technology in Europe conference (AAATE), 2007.
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Gajos, K., H. Fox and H. Shrobe. "End User Empowerment in Human Centred Pervasive Computing." Pervasive 2002, Zurich.
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Truong, K., E. Huang and G. Abowd. CAMP: a magnetic poetry interface for end-user programming of capture applications for the home. Int Conf on ubiquitous computing (ubicomp), pp 143--160.
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  • (2012)MNFLProceedings of the 2nd ACM SIGHIT International Health Informatics Symposium10.1145/2110363.2110387(191-200)Online publication date: 28-Jan-2012

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  1. Feature extractors for integration of cameras and sensors during end-user programming of assistive monitoring systems

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      cover image ACM Other conferences
      WH '11: Proceedings of the 2nd Conference on Wireless Health
      October 2011
      170 pages
      ISBN:9781450309820
      DOI:10.1145/2077546
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • University of California: University of California

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 October 2011

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      Author Tags

      1. assistive monitoring
      2. embedded systems
      3. end-user programming
      4. monitoring
      5. notification
      6. sensors
      7. smart homes
      8. telehealth
      9. ubiquitous systems
      10. video
      11. video processing

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      WH '11
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      • University of California
      WH '11: Wireless Health 2011
      October 10 - 13, 2011
      California, San Diego

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      Overall Acceptance Rate 35 of 139 submissions, 25%

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      • (2012)MNFLProceedings of the 2nd ACM SIGHIT International Health Informatics Symposium10.1145/2110363.2110387(191-200)Online publication date: 28-Jan-2012

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