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