Opo: A Wearable Sensor for Capturing High-Fidelity Face-to-Face Interactions
Ling Huang, Ye-Sheng Kuo, Pat Pannuto, Prabal Dutta

Citation
Ling Huang, Ye-Sheng Kuo, Pat Pannuto, Prabal Dutta. "Opo: A Wearable Sensor for Capturing High-Fidelity Face-to-Face Interactions". enSys'14: Conference on Embedded Networked Sensor Systems, ACM, 3, November, 2014.

Abstract
Currently, researchers study human interactions using smart badges and smartphones which provide 2 to 5 m proximity sensing every 20 to 300 s. However, characterizing human interaction distance, which is known to impact disease spread, communication behavior, childhood development, and many other phenomenon, has proven challenging, particularly with high temporal fidelity. Smartphones are limited by their inaccurate and/or impractical ranging capabilities. Meanwhile, smart badges are limited by their need for infrastructure nodes, bulky form factors, and/or inability to provide distance measurements. To address these challenges, we present Opo, an over-sized "lapel pin" that measures 14 cm2, weighs 11.4 g, ranges neighbors every 2 s up to 2 m away with 5% average error, and can be built from commercial components, all while requiring zero infrastructure and improving upon current smart badge accuracy and power. These characteristics enable Opo to sense interaction distance, not just proximity, in a highly deployable manner. The cornerstone of Opo is an ultrasonic wakeup circuit that draws 19 μA when no neighbors are present, enabling us to discover neighboring nodes via broadcast synchronization. This allows nodes to remain asleep until a neighbor appears, obviating the need for infrastructure nodes and slow or energy-hungry RF discovery protocols. Thus, Opo captures interaction distance with high accuracy (5 cm) and temporal fidelity (2 s) on a low-power budget.

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Citation formats  
  • HTML
    Ling Huang, Ye-Sheng Kuo, Pat Pannuto, Prabal Dutta. <a
    href="http://www.terraswarm.org/pubs/349.html"
    >Opo: A Wearable Sensor for Capturing High-Fidelity
    Face-to-Face Interactions</a>, enSys'14: Conference on
    Embedded Networked Sensor Systems, ACM, 3, November, 2014.
  • Plain text
    Ling Huang, Ye-Sheng Kuo, Pat Pannuto, Prabal Dutta.
    "Opo: A Wearable Sensor for Capturing High-Fidelity
    Face-to-Face Interactions". enSys'14: Conference on
    Embedded Networked Sensor Systems, ACM, 3, November, 2014.
  • BibTeX
    @inproceedings{HuangKuoPannutoDutta14_OpoWearableSensorForCapturingHighFidelityFacetoFace,
        author = {Ling Huang and Ye-Sheng Kuo and Pat Pannuto and
                  Prabal Dutta},
        title = {Opo: A Wearable Sensor for Capturing High-Fidelity
                  Face-to-Face Interactions},
        booktitle = {enSys'14: Conference on Embedded Networked Sensor
                  Systems},
        organization = {ACM},
        day = {3},
        month = {November},
        year = {2014},
        abstract = {Currently, researchers study human interactions
                  using smart badges and smartphones which provide 2
                  to 5 m proximity sensing every 20 to 300 s.
                  However, characterizing human interaction
                  distance, which is known to impact disease spread,
                  communication behavior, childhood development, and
                  many other phenomenon, has proven challenging,
                  particularly with high temporal fidelity.
                  Smartphones are limited by their inaccurate and/or
                  impractical ranging capabilities. Meanwhile, smart
                  badges are limited by their need for
                  infrastructure nodes, bulky form factors, and/or
                  inability to provide distance measurements. To
                  address these challenges, we present Opo, an
                  over-sized "lapel pin" that measures 14 cm2,
                  weighs 11.4 g, ranges neighbors every 2 s up to 2
                  m away with 5% average error, and can be built
                  from commercial components, all while requiring
                  zero infrastructure and improving upon current
                  smart badge accuracy and power. These
                  characteristics enable Opo to sense interaction
                  distance, not just proximity, in a highly
                  deployable manner. The cornerstone of Opo is an
                  ultrasonic wakeup circuit that draws 19 μA when
                  no neighbors are present, enabling us to discover
                  neighboring nodes via broadcast synchronization.
                  This allows nodes to remain asleep until a
                  neighbor appears, obviating the need for
                  infrastructure nodes and slow or energy-hungry RF
                  discovery protocols. Thus, Opo captures
                  interaction distance with high accuracy (5 cm) and
                  temporal fidelity (2 s) on a low-power budget.},
        URL = {http://terraswarm.org/pubs/349.html}
    }
    

Posted by Barb Hoversten on 18 Aug 2014.
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