Authors:
Lam A. Cheah
1
;
Jie Bai
1
;
Jose A. Gonzalez
2
;
Stephen R. Ell
3
;
James M. Gilbert
1
;
Roger K. Moore
2
and
Phil D. Green
2
Affiliations:
1
The University of Hull, United Kingdom
;
2
The University of Sheffield, United Kingdom
;
3
Castle Hill Hospital, United Kingdom
Keyword(s):
Silent Speech Interface, Assistive Speech Technology, Permanent Magnetic Articulography, User-centric Design.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Speech Recognition
Abstract:
This paper addresses the design considerations and challenges faced in developing a wearable silent speech interface (SSI) based on Permanent Magnetic Articulography (PMA). To improve its usability, a new prototype was developed with the involvement of end users in the design process. Hence, desirable features such as appearance, portability, ease of use and light weight were incorporated into the prototype. The device showed a comparable performance with its predecessor, but has a much improved appearance, portability and hardware in terms of miniaturisation and cost.