MotionSynthesis toolset (MoST): a toolset for human motion data synthesis and validation Conference Paper

abstract

• Copyright 2014 ACM. Wearable computing devices and body sensor networks (BSNs) are becoming more prevalent. Collecting the data necessary to develop new concepts for these systems can be difficult. We present the MotionSynthesis Toolset (MoST) to alleviate some of the difficulties in data collection and algorithm development. This toolset allows researchers to generate a sequence of movements (i.e. a diary), synthesize a data stream using real sensor data, visualize, and validate the sequence of movements and data with video and waveforms.

name of conference

• Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare

authors

• Jafari, Roozbeh

published proceedings

• Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare

author list (cited authors)

• Bennett, T. R., Savaglio, C., Lu, D., Massey, H., Wang, X., Wu, J., & Jafari, R.

citation count

• 22

complete list of authors

• Bennett, Terrell R||Savaglio, Claudio||Lu, David||Massey, Hunter||Wang, Xianan||Wu, Jian||Jafari, Roozbeh

publication date

• January 2014

publisher

• Association for Computing Machinery (ACM)  Publisher

Digital Object Identifier (DOI)

• 10.1145/2633651.2637472

start page

• 25

end page

• 30

volume

• 2014-August

issue

• August

URL

• http://dx.doi.org/10.1145/2633651.2637472