Myo Mapper: a Myo armband to OSC mapper

Balandino Di Donato, Jamie Bullock, and Atau Tanaka

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

Myo Mapper is a free and open source cross-platform application to map data from the gestural device Myo armband into Open Sound Control (OSC) messages. It represents a `quick and easy' solution for exploring the Myo's potential for realising new interfaces for musical expression. Together with details of the software, this paper reports some applications in which Myo Mapper has been successfully used and a qualitative evaluation. We then proposed guidelines for using Myo data in interactive artworks based on insight gained from the works described and the evaluation. Findings show that Myo Mapper empowers artists and non-skilled developers to easily take advantage of Myo data high-level features for realising interactive artistic works. It also facilitates the recognition of poses and gestures beyond those included with the product by using third-party interactive machine learning software.

Citation:

Balandino Di Donato, Jamie Bullock, and Atau Tanaka. 2018. Myo Mapper: a Myo armband to OSC mapper. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1302705

BibTeX Entry:

  @inproceedings{DiDonato2018,
 abstract = {Myo Mapper is a free and open source cross-platform application to map data from the gestural device Myo armband into Open Sound Control (OSC) messages. It represents a `quick and easy' solution for exploring the Myo's potential for realising new interfaces for musical expression. Together with details of the software, this paper reports some applications in which Myo Mapper has been successfully used and a qualitative evaluation. We then proposed guidelines for using Myo data in interactive artworks based on insight gained from the works described and the evaluation. Findings show that Myo Mapper empowers artists and non-skilled developers to easily take advantage of Myo data high-level features for realising interactive artistic works. It also facilitates the recognition of poses and gestures beyond those included with the product by using third-party interactive machine learning software.},
 address = {Blacksburg, Virginia, USA},
 author = {Di Donato, Balandino  and Jamie Bullock and Atau Tanaka},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1302705},
 editor = {Luke Dahl, Douglas Bowman, Thomas Martin},
 isbn = {978-1-949373-99-8},
 issn = {2220-4806},
 month = {June},
 pages = {138--143},
 publisher = {Virginia Tech},
 title = {Myo Mapper: a Myo armband to OSC mapper},
 url = {http://www.nime.org/proceedings/2018/nime2018_paper0030.pdf},
 year = {2018}
}