Unobtrusively Capturing Face to Face Interactions
William Huang, Prabal Dutta

Citation
William Huang, Prabal Dutta. " Unobtrusively Capturing Face to Face Interactions". Talk or presentation, 29, September, 2013; Presented at the First International Workshop on the Swarm at the Edge of the Cloud (SEC'13 @ ESWeek), Montreal.

Abstract
Capturing the spatial and temporal parameters of human interactions allows for better informed disease transmission models. Smart badge type solutions have attempted to capture these parameters, but their real world deployability is minimal. The key problem stems from the unpredictability of mobile neighbors, which makes neighbor synchronization difficult, resulting in either bulky, high powered nodes or infrastructure heavy systems. To bypass this problem we designed an ultra low power ultrasonic wake up and ranging sensor, which can be kept on without significantly affecting battery life. This allows nodes to asynchronously wake up neighboring nodes, eliminating the need for infrastructure nodes and bulky batteries, and enabling the creation of easily deployable sensor networks to capture human interactions.

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Citation formats  
  • HTML
    William Huang, Prabal Dutta. <a
    href="http://www.terraswarm.org/pubs/113.html"><i>
    Unobtrusively Capturing Face to Face
    Interactions</i></a>, Talk or presentation,  29,
    September, 2013; Presented at the <a
    href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
    >First International Workshop on the Swarm at the Edge of
    the Cloud (SEC'13 @ ESWeek)</a>, Montreal.
  • Plain text
    William Huang, Prabal Dutta. " Unobtrusively Capturing
    Face to Face Interactions". Talk or presentation,  29,
    September, 2013; Presented at the <a
    href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
    >First International Workshop on the Swarm at the Edge of
    the Cloud (SEC'13 @ ESWeek)</a>, Montreal.
  • BibTeX
    @presentation{HuangDutta13_UnobtrusivelyCapturingFaceToFaceInteractions,
        author = {William Huang and Prabal Dutta},
        title = { Unobtrusively Capturing Face to Face Interactions},
        day = {29},
        month = {September},
        year = {2013},
        note = {Presented at the <a
                  href="http://www.terraswarm.org/conferences/13/swarm/index.htm"
                  >First International Workshop on the Swarm at the
                  Edge of the Cloud (SEC'13 @ ESWeek)</a>, Montreal.},
        abstract = {Capturing the spatial and temporal parameters of
                  human interactions allows for better informed
                  disease transmission models. Smart badge type
                  solutions have attempted to capture these
                  parameters, but their real world deployability is
                  minimal. The key problem stems from the
                  unpredictability of mobile neighbors, which makes
                  neighbor synchronization difficult, resulting in
                  either bulky, high powered nodes or infrastructure
                  heavy systems. To bypass this problem we designed
                  an ultra low power ultrasonic wake up and ranging
                  sensor, which can be kept on without significantly
                  affecting battery life. This allows nodes to
                  asynchronously wake up neighboring nodes,
                  eliminating the need for infrastructure nodes and
                  bulky batteries, and enabling the creation of
                  easily deployable sensor networks to capture human
                  interactions.},
        URL = {http://terraswarm.org/pubs/113.html}
    }
    

Posted by Christopher Brooks on 29 Sep 2013.

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