Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors
Jian Wu, Roozbeh Jafari

Citation
Jian Wu, Roozbeh Jafari. "Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors". International Conference on Wireless Health, ACM, 29, October, 2014.

Abstract
Activity recognition using wearable motion sensors plays an important role in pervasive wellness and healthcare monitoring applications. The activity recognition algorithms are often designed to work with a known orientation of sensors on the body. In the case of accidental displacement of the motion sensors, it is important to identify the new sensor location and orientation. This step, often called calibration or recalibration, requires extra effort from the user to either perform a set of known movements, or enter information about the placement of the sensors manually. In this paper, we propose a camera-assisted calibration approach that does not require any extra effort from the user. The calibration is done seamlessly when the user appears in front of the camera (in our case, a Kinect camera) and performs an arbitrary activity of choice (e.g., walking in front of the camera). We provide experimental results supporting the effectiveness of our approach.

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Citation formats  
  • HTML
    Jian Wu, Roozbeh Jafari. <a
    href="http://www.terraswarm.org/pubs/351.html"
    >Zero-Effort Camera-Assisted Calibration Techniques for
    Wearable Motion Sensors</a>, International Conference
    on Wireless Health, ACM, 29, October, 2014.
  • Plain text
    Jian Wu, Roozbeh Jafari. "Zero-Effort Camera-Assisted
    Calibration Techniques for Wearable Motion Sensors".
    International Conference on Wireless Health, ACM, 29,
    October, 2014.
  • BibTeX
    @inproceedings{WuJafari14_ZeroEffortCameraAssistedCalibrationTechniquesForWearable,
        author = {Jian Wu and Roozbeh Jafari},
        title = {Zero-Effort Camera-Assisted Calibration Techniques
                  for Wearable Motion Sensors},
        booktitle = {International Conference on Wireless Health},
        organization = {ACM},
        day = {29},
        month = {October},
        year = {2014},
        abstract = {Activity recognition using wearable motion sensors
                  plays an important role in pervasive wellness and
                  healthcare monitoring applications. The activity
                  recognition algorithms are often designed to work
                  with a known orientation of sensors on the body.
                  In the case of accidental displacement of the
                  motion sensors, it is important to identify the
                  new sensor location and orientation. This step,
                  often called calibration or recalibration,
                  requires extra effort from the user to either
                  perform a set of known movements, or enter
                  information about the placement of the sensors
                  manually. In this paper, we propose a
                  camera-assisted calibration approach that does not
                  require any extra effort from the user. The
                  calibration is done seamlessly when the user
                  appears in front of the camera (in our case, a
                  Kinect camera) and performs an arbitrary activity
                  of choice (e.g., walking in front of the camera).
                  We provide experimental results supporting the
                  effectiveness of our approach.},
        URL = {http://terraswarm.org/pubs/351.html}
    }
    

Posted by Barb Hoversten on 25 Aug 2014.

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