Context-Aware Systems Using Heterogeneous Sensors Modalities
Terrell R. Bennett, Christine Chan, Rajesh Kuni, Long Le, Patrick Lazik, Hunter Massey, Viswam Nathan, Yashaswini Raghuram Prathivadi Bhayankaram, Jagannathan Venkatesh, Jian Wu, Edward A. Lee, Douglas L. Jones, Tajana Simunic Rosing, Anthony Rowe, Roozbeh Jafari

Citation
Terrell R. Bennett, Christine Chan, Rajesh Kuni, Long Le, Patrick Lazik, Hunter Massey, Viswam Nathan, Yashaswini Raghuram Prathivadi Bhayankaram, Jagannathan Venkatesh, Jian Wu, Edward A. Lee, Douglas L. Jones, Tajana Simunic Rosing, Anthony Rowe, Roozbeh Jafari. "Context-Aware Systems Using Heterogeneous Sensors Modalities". Talk or presentation, 29, October, 2014; Poster presented at the 2014 Terraswarm Annual meeting.

Abstract
Creating a context-aware system is the first step in creating a home or office that is intelligent in the truest sense. Without contextual information, the system is blind to what is happening in the world and cannot cater to the user’s needs. Sensors are a cheap source of context information. The system described in this demo utilizes these sensors to become aware of the surroundings, to model it and then build interesting context-aware applications. The system is unique in that it brings together a diverse set of sensors under a common platform supported here by Ptolemy. In this demo we explore the context information made available through the IMU motion sensors, the indoor localization sensors and acoustic sensors detecting speech activity. Because of the way the platform receives, stores, and manages context information, a user can easily modify the functionality of the system to suit his needs. The platform’s most important contribution is that it allows any sensor to become a part of the system – it is the glue that will enable the system to grow organically. Some important challenges in the realization of this system include resource allocation, reuse mechanisms, and time synchronization requirements. The poster shows our investigations on these challenges and the resulting context recognition and activation for an office environment.

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Citation formats  
  • HTML
    Terrell R. Bennett, Christine Chan, Rajesh Kuni, Long Le,
    Patrick Lazik, Hunter Massey, Viswam Nathan, Yashaswini
    Raghuram Prathivadi Bhayankaram, Jagannathan Venkatesh, Jian
    Wu, Edward A. Lee, Douglas L. Jones, Tajana Simunic Rosing,
    Anthony Rowe, Roozbeh Jafari. <a
    href="http://www.terraswarm.org/pubs/399.html"
    ><i>Context-Aware Systems Using Heterogeneous
    Sensors Modalities</i></a>, Talk or
    presentation,  29, October, 2014; Poster presented at the
    2014 Terraswarm Annual meeting.
  • Plain text
    Terrell R. Bennett, Christine Chan, Rajesh Kuni, Long Le,
    Patrick Lazik, Hunter Massey, Viswam Nathan, Yashaswini
    Raghuram Prathivadi Bhayankaram, Jagannathan Venkatesh, Jian
    Wu, Edward A. Lee, Douglas L. Jones, Tajana Simunic Rosing,
    Anthony Rowe, Roozbeh Jafari. "Context-Aware Systems
    Using Heterogeneous Sensors Modalities". Talk or
    presentation,  29, October, 2014; Poster presented at the
    2014 Terraswarm Annual meeting.
  • BibTeX
    @presentation{BennettChanKuniLeLazikMasseyNathanPrathivadiBhayankaram14_ContextAwareSystemsUsingHeterogeneousSensorsModalities,
        author = {Terrell R. Bennett and Christine Chan and Rajesh
                  Kuni and Long Le and Patrick Lazik and Hunter
                  Massey and Viswam Nathan and Yashaswini Raghuram
                  Prathivadi Bhayankaram and Jagannathan Venkatesh
                  and Jian Wu and Edward A. Lee and Douglas L. Jones
                  and Tajana Simunic Rosing and Anthony Rowe and
                  Roozbeh Jafari},
        title = {Context-Aware Systems Using Heterogeneous Sensors
                  Modalities},
        day = {29},
        month = {October},
        year = {2014},
        note = {Poster presented at the 2014 Terraswarm Annual
                  meeting.},
        abstract = {Creating a context-aware system is the first step
                  in creating a home or office that is intelligent
                  in the truest sense. Without contextual
                  information, the system is blind to what is
                  happening in the world and cannot cater to the
                  user’s needs. Sensors are a cheap source of
                  context information. The system described in this
                  demo utilizes these sensors to become aware of the
                  surroundings, to model it and then build
                  interesting context-aware applications. The system
                  is unique in that it brings together a diverse set
                  of sensors under a common platform supported here
                  by Ptolemy. In this demo we explore the context
                  information made available through the IMU motion
                  sensors, the indoor localization sensors and
                  acoustic sensors detecting speech activity.
                  Because of the way the platform receives, stores,
                  and manages context information, a user can easily
                  modify the functionality of the system to suit his
                  needs. The platform’s most important
                  contribution is that it allows any sensor to
                  become a part of the system – it is the glue
                  that will enable the system to grow organically.
                  Some important challenges in the realization of
                  this system include resource allocation, reuse
                  mechanisms, and time synchronization requirements.
                  The poster shows our investigations on these
                  challenges and the resulting context recognition
                  and activation for an office environment.},
        URL = {http://terraswarm.org/pubs/399.html}
    }
    

Posted by Rajesh Kuni on 27 Oct 2014.

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