Show simple item record

dc.contributor.authorNakayama, Yuki
dc.contributor.authorTakano, Yuji
dc.contributor.authorMatsubara, Masaki
dc.contributor.authorSuzuki, Kenji
dc.contributor.authorTerasawa, Hiroko
dc.date.accessioned2015-10-23T18:46:02Z
dc.date.available2015-10-23T18:46:02Z
dc.date.issued2015-07
dc.identifier.citationNakayama, Y., Takano, Y., Matsubara, M., Suzuki, K., & Terasawa, H. "Real-time smile sonification using surface EMG signal and the evaluation of its usability". In K. Vogt, A. Andreopoulou, & V. Goudarzi, eds. Proceedings of the 21st International Conference on Auditory Display (ICAD 2015). July 6-10, 2015, Graz, Styria, Austria.en_US
dc.identifier.isbn978-3-902949-01-1
dc.identifier.urihttp://hdl.handle.net/1853/54121
dc.descriptionPresented at the 21st International Conference on Auditory Display (ICAD2015), July 6-10, 2015, Graz, Styria, Austria.en_US
dc.description.abstractWe propose a real-time, interactive system for smile recognition and sonification using surface electromyography (EMG) signals. When a user smiles, a sound is played. The surface EMG signal is mapped to pitch using a conventional scale. The timbre of the sound is a synthetic sound mimicking bubbles. In the experiment, eight participants evaluated the effects of smile-based sonification feedback. Participants expressed smiles in a condition that there was feedback or no feedback. We investigated what type of effects the feedback had on smiling by analyzing surface EMG signals and interviewing the subjects. The results suggest that the sonified feedback could facilitate the expression of spontaneous smiles. In addition, results suggested that both the attack and release of a smile were similarly perceived using visual or auditory feedback.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAuditory displayen_US
dc.subjectEMGen_US
dc.subjectSmile recognitionen_US
dc.subjectSonificationen_US
dc.subjectSurface electromyography signalsen_US
dc.titleReal-time smile sonification using surface EMG signal and the evaluation of its usabilityen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameUniversity of Tsukuba. Graduate School of Library, Information and Media Studiesen_US
dc.contributor.corporatenameUniversity of Tsukuba. Graduate School of Systems and Information Engineeringen_US
dc.contributor.corporatenameJST Prestoen_US
dc.publisher.originalUniversity of Music and Performing Arts Graz. Institute of Electronic Music and Acoustics
dc.embargo.termsnullen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License..