Team for Research in
Ubiquitous Secure Technology

Enhancing context awareness with activity recognition and radio fingerprinting
Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski, Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy

Citation
Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski, Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy. "Enhancing context awareness with activity recognition and radio fingerprinting". 5th IEEE International Conference on Semantic Computing (ICSC), IEEE, pp.263-266, 18, September, 2011.

Abstract
Within context-aware computing, there is a growing interest in linking localization technologies with activity recognition in a cooperative way. Existing research works in this field face two main difficulties: lack of accuracy in their solutions and/or sophisticated hardware requirements. To avoid these issues, we present a light-weight, low-cost and high-accuracy system for localization and activity recognition, based on a smart phone and a single off-the-shelf wireless accelerometer attached to the waist. We process the accelerometer signal with the wavelet transform to precisely recognize different activities and obtain the velocity of the gait in real time. Additionally, we leverage the capabilities of the smart phone to accurately estimate locations making use of a multimode approach for radio fingerprinting. Eventually, we combine location information with activity recognition, observing a 9% improvement in the accuracy with which some activities are recognized.

Electronic downloads

Citation formats  
  • HTML
    Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski,
    Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy. <a
    href="http://www.truststc.org/pubs/869.html"
    >Enhancing context awareness with activity recognition
    and radio fingerprinting</a>, 5th IEEE International
    Conference on Semantic Computing (ICSC), IEEE, pp.263-266,
    18, September, 2011.
  • Plain text
    Eladio Martin, Victor Shia, Posu Yan, Philip Kuryloski,
    Edmund Y.W. Seto, Venkatesan Ekambaram, Ruzena Bajcsy.
    "Enhancing context awareness with activity recognition
    and radio fingerprinting". 5th IEEE International
    Conference on Semantic Computing (ICSC), IEEE, pp.263-266,
    18, September, 2011.
  • BibTeX
    @inproceedings{MartinShiaYanKuryloskiSetoEkambaramBajcsy11_EnhancingContextAwarenessWithActivityRecognitionRadio,
        author = {Eladio Martin and Victor Shia and Posu Yan and
                  Philip Kuryloski and Edmund Y.W. Seto and
                  Venkatesan Ekambaram and Ruzena Bajcsy},
        title = {Enhancing context awareness with activity
                  recognition and radio fingerprinting},
        booktitle = {5th IEEE International Conference on Semantic
                  Computing (ICSC)},
        organization = {IEEE},
        pages = {pp.263-266},
        day = {18},
        month = {September},
        year = {2011},
        abstract = {Within context-aware computing, there is a growing
                  interest in linking localization technologies with
                  activity recognition in a cooperative way.
                  Existing research works in this field face two
                  main difficulties: lack of accuracy in their
                  solutions and/or sophisticated hardware
                  requirements. To avoid these issues, we present a
                  light-weight, low-cost and high-accuracy system
                  for localization and activity recognition, based
                  on a smart phone and a single off-the-shelf
                  wireless accelerometer attached to the waist. We
                  process the accelerometer signal with the wavelet
                  transform to precisely recognize different
                  activities and obtain the velocity of the gait in
                  real time. Additionally, we leverage the
                  capabilities of the smart phone to accurately
                  estimate locations making use of a multimode
                  approach for radio fingerprinting. Eventually, we
                  combine location information with activity
                  recognition, observing a 9% improvement in the
                  accuracy with which some activities are
                  recognized. },
        URL = {http://www.truststc.org/pubs/869.html}
    }
    

Posted by Mary Stewart on 4 Apr 2012.
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