Myo Mapper: a Myo armband to OSC mapper

Di Donato, Balandino; Bullock, Jamie; Tanaka, Atau

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

Di Donato, B., Bullock, J., & Tanaka, A. (2018, June). Myo Mapper: a Myo armband to OSC mapper. Presented at International Conference on New Interfaces for Musical Expression, Blacksburg, Virginia, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on New Interfaces for Musical Expression
• Start Date: Jun 3, 2018
• End Date: Jun 6, 2018
• Acceptance Date: Mar 15, 2018
• Online Publication Date: Jun 3, 2018
• Publication Date: 2018
• Deposit Date: Aug 9, 2021
• Publicly Available Date: Aug 9, 2021
• Pages: 138-143
• Book Title: Proceedings of the International Conference on New Interfaces for Musical Expression
• ISBN: 978-1-949373-99-8
• DOI: https://doi.org/10.5281/zenodo.1302705
• Keywords: Myo armband, mapping, feature extraction, EMG, hand gestures recognition, interactive machine learning
• Public URL: http://researchrepository.napier.ac.uk/Output/2791907
• Publisher URL: http://www.nime.org/proceedings/2018/nime2018_paper0030.pdf