MyoSL: A framework for measuring usability of two-arm gestural electromyography for sign language

9Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Several Sign Language (SL) systems have been developed using various technologies: Kinect, armbands, and gloves. Majority of these studies never considered user experience as part of their approach. With that, we propose a new framework that eases usability by employing two-arm gestural electromyography instead of typical vision-based systems see Fig. 5. Interactions can be considered seamless and natural with this way. In this preliminary study, we conducted focus group discussions and usability tests with signers. Based on the results of the usability tests, 90% of respondents found the armband comfortable. The respondents also stated that the armband was not intrusive when they tried to perform their sign gestures. At the same time, they found it aesthetically pleasing. Additionally, we produced an initial prototype from this experiment setup and tested them on several conversational scenarios. By using this approach, we enable an agile framework that caters the needs of the signer-user.

Cite

CITATION STYLE

APA

Deja, J. A., Arceo, P., David, D. G., Gan, P. L., & Roque, R. C. (2018). MyoSL: A framework for measuring usability of two-arm gestural electromyography for sign language. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10907 LNCS, pp. 146–159). Springer Verlag. https://doi.org/10.1007/978-3-319-92049-8_11

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free