MotionSynthesis Toolset (MoST): An Open Source Tool and Data Set for Human Motion Data Synthesis and Validation Academic Article

abstract

• 2016 IEEE. Access to experimental data in the development of algorithms and techniques for wearable computing devices and body sensor networks allows faster validation and refinement of algorithms. The MotionSynthesis Toolset is an open source toolset and database built to assist in data collection and data sharing, and allow collaboration in review and validation of data sets. 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 data set has more than 20 subjects and multiple repetitions of the movements from each subject to increase data diversity.

authors

• Jafari, Roozbeh

published proceedings

• IEEE SENSORS JOURNAL

author list (cited authors)

• Bennett, T. R., Massey, H. C., Wu, J., Hasnain, S. A., & Jafari, R.

citation count

• 10

complete list of authors

• Bennett, Terrell R||Massey, Hunter C||Wu, Jian||Hasnain, Syed Ali||Jafari, Roozbeh

publication date

• July 2016

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Body Sensor Networks
• Data Synthesis
• Databases
• Open Source
• Wearable Computers

Digital Object Identifier (DOI)

• 10.1109/JSEN.2016.2562599

start page

• 5365

end page

• 5375

volume

• 16

issue

• 13

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fjsen.2016.2562599