MotionSynthesis Toolset (MoST): An Open Source Tool and Dataset for Human Motion Data Synthesis and Validation
Terrell R. Bennett, Hunter C. Massey, Jian Wu, Syed Ali Hasnain, Roozbeh Jafari

Citation
Terrell R. Bennett, Hunter C. Massey, Jian Wu, Syed Ali Hasnain, Roozbeh Jafari. "MotionSynthesis Toolset (MoST): An Open Source Tool and Dataset for Human Motion Data Synthesis and Validation". IEEE Sensors Journal, May 2016.

Abstract
Access to experimental data in the development of algorithms and techniques for wearable computing devices and body sensor networks (BSNs) allows faster validation and refinement of algorithms. The MotionSynthesis Toolset (MoST) is an open source toolset and database built to assist in data collection, data sharing and allow collaboration in review and validation of datasets. The tools can generate a sequence of movements and synthesize a data stream based on the data stored in the database. New movements can be added to the database and the tools by the community. The tools also allow visualization, and validation of the movements and data with video and signal waveforms. The dataset has more than twenty subjects and multiple repetitions of the movements from each subject to increase data diversity.

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Citation formats

• HTML

  Terrell R. Bennett, Hunter C.  Massey, Jian Wu, Syed Ali
  Hasnain, Roozbeh Jafari. <a
  href="http://www.terraswarm.org/pubs/785.html"
  >MotionSynthesis Toolset (MoST): An Open Source Tool and
  Dataset for Human Motion Data Synthesis and
  Validation</a>, <i>IEEE Sensors
  Journal</i>, May 2016.

• Plain text

  Terrell R. Bennett, Hunter C.  Massey, Jian Wu, Syed Ali
  Hasnain, Roozbeh Jafari. "MotionSynthesis Toolset
  (MoST): An Open Source Tool and Dataset for Human Motion
  Data Synthesis and Validation". <i>IEEE Sensors
  Journal</i>, May 2016.

• BibTeX

  @article{BennettMasseyWuHasnainJafari16_MotionSynthesisToolsetMoSTOpenSourceToolDatasetFor,
      author = {Terrell R. Bennett and Hunter C.  Massey and Jian
                Wu and Syed Ali Hasnain and Roozbeh Jafari},
      title = {MotionSynthesis Toolset (MoST): An Open Source
                Tool and Dataset for Human Motion Data Synthesis
                and Validation},
      journal = {IEEE Sensors Journal},
      month = {May},
      year = {2016},
      abstract = {Access to experimental data in the development of
                algorithms and techniques for wearable computing
                devices and body sensor networks (BSNs) allows
                faster validation and refinement of algorithms.
                The MotionSynthesis Toolset (MoST) is an open
                source toolset and database built to assist in
                data collection, data sharing and allow
                collaboration in review and validation of
                datasets. The tools can generate a sequence of
                movements and synthesize a data stream based on
                the data stored in the database. New movements can
                be added to the database and the tools by the
                community. The tools also allow visualization, and
                validation of the movements and data with video
                and signal waveforms. The dataset has more than
                twenty subjects and multiple repetitions of the
                movements from each subject to increase data
                diversity.},
      URL = {http://terraswarm.org/pubs/785.html}
  }
  

Posted by Elizabeth Coyne on 3 May 2016.
Groups: pw