Exploration of Interactions Detectable by Wearable IMU sensors
Rajesh Kuni, Yashaswini Raghuram Prathivadi Bhayankaram, Jian Wu, Terrell R. Bennett, Roozbeh Jafari

Citation
Rajesh Kuni, Yashaswini Raghuram Prathivadi Bhayankaram, Jian Wu, Terrell R. Bennett, Roozbeh Jafari. "Exploration of Interactions Detectable by Wearable IMU sensors". Wearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International Conference on, 1-6, 9, June, 2015.

Abstract
Context aware systems like smart homes and offices will benefit from determining human-object and human-human interactions. In this paper, we explore interaction detection methods using only wearable Inertial Measurement Units (IMUs). The interactions we explore involve two actors - the primary person and a secondary object or person. We explore how several commonly used time domain signal processing operators can be utilized to detect the similar movements in the interactions and thus the interactions themselves. We also utilize a well-known boosting algorithm to potentially increase the accuracy of the operator results. The techniques operate on the magnitudes of the acceleration and gyroscope readings to keep the analysis independent of the orientation of the sensors. The detection accuracy for six interactions using the approach presented in the paper range from 84.2% to 69.6%.

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• HTML

  Rajesh Kuni, Yashaswini Raghuram Prathivadi Bhayankaram,
  Jian Wu, Terrell R. Bennett, Roozbeh Jafari. <a
  href="http://www.terraswarm.org/pubs/540.html"
  >Exploration of Interactions Detectable by Wearable IMU
  sensors</a>, Wearable and Implantable Body Sensor
  Networks (BSN), 2015 IEEE 12th International Conference on,
  1-6, 9, June, 2015.

• Plain text

  Rajesh Kuni, Yashaswini Raghuram Prathivadi Bhayankaram,
  Jian Wu, Terrell R. Bennett, Roozbeh Jafari.
  "Exploration of Interactions Detectable by Wearable IMU
  sensors". Wearable and Implantable Body Sensor Networks
  (BSN), 2015 IEEE 12th International Conference on, 1-6, 9,
  June, 2015.

• BibTeX

  @inproceedings{KuniPrathivadiBhayankaramWuBennettJafari15_ExplorationOfInteractionsDetectableByWearableIMUSensors,
      author = {Rajesh Kuni and Yashaswini Raghuram Prathivadi
                Bhayankaram and Jian Wu and Terrell R. Bennett and
                Roozbeh Jafari},
      title = {Exploration of Interactions Detectable by Wearable
                IMU sensors},
      booktitle = {Wearable and Implantable Body Sensor Networks
                (BSN), 2015 IEEE 12th International Conference on},
      pages = {1-6},
      day = {9},
      month = {June},
      year = {2015},
      abstract = {Context aware systems like smart homes and offices
                will benefit from determining human-object and
                human-human interactions. In this paper, we
                explore interaction detection methods using only
                wearable Inertial Measurement Units (IMUs). The
                interactions we explore involve two actors - the
                primary person and a secondary object or person.
                We explore how several commonly used time domain
                signal processing operators can be utilized to
                detect the similar movements in the interactions
                and thus the interactions themselves. We also
                utilize a well-known boosting algorithm to
                potentially increase the accuracy of the operator
                results. The techniques operate on the magnitudes
                of the acceleration and gyroscope readings to keep
                the analysis independent of the orientation of the
                sensors. The detection accuracy for six
                interactions using the approach presented in the
                paper range from 84.2% to 69.6%. },
      URL = {http://terraswarm.org/pubs/540.html}
  }
  

Posted by Barb Hoversten on 21 Apr 2015.