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Myo Mapper: a Myo armband to OSC mapper

Di Donato, Balandino; Bullock, Jamie and Tanaka, Atau. 2018. 'Myo Mapper: a Myo armband to OSC mapper'. In: Proceedings of the International Conference on New Interfaces for Musical Expression. Blacksburg, Virginia, United States 3-6 June 2018. [Conference or Workshop Item]

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Abstract or Description

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.

Item Type:

Conference or Workshop Item (Paper)

Keywords:

Myo armband, mapping, feature extraction, EMG, hand gestures recognition, interactive machine learning

Related URLs:

Departments, Centres and Research Units:

Computing > Embodied AudioVisual Interaction Group (EAVI)

Dates:

DateEvent
22 March 2018Accepted
3 June 2018Published

Event Location:

Blacksburg, Virginia, United States

Date range:

3-6 June 2018

Item ID:

26006

Date Deposited:

13 Mar 2019 14:40

Last Modified:

14 Mar 2019 15:38

URI:

http://research.gold.ac.uk/id/eprint/26006

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