Business Engagement Award
Lead Research Organisation:
University College London
Department Name: Human Communication Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Bencie Woll (Principal Investigator) |
Publications
Denmark T
(2014)
How do typically developing deaf children and deaf children with autism spectrum disorder use the face when comprehending emotional facial expressions in British sign language?
in Journal of autism and developmental disorders
Esposito, Anna; Hussain, Amir; Marinaro, Maria; Martone, Raffaele
(2009)
Multimodal Signals: Cost Action 2102 and Eucognition International School Vietri Sul Mare, Italy, April 21-26, 2008, Revised Selected and Invited Papers
Frank SL
(2013)
Reading time data for evaluating broad-coverage models of English sentence processing.
in Behavior research methods
| Description | We have learned more about the demands and possibilities of using expert speechreaders in legal settings and to the establishment of criteria and tools for assessing speechreading skills. In relation to signing avatars, the research has contributed to commercial and academic projects seeking to develop automated translation from written English to British Sign Language |
| Exploitation Route | The signing avatar findings are already in use by broadcasters seeking to develop better provision for deaf TV and web viewers; and the speechreading findings are being used in legal settings where speechreaders are asked to serve as expert witnesses |
| Sectors | Creative Economy,Digital/Communication/Information Technologies (including Software),Government, Democracy and Justice |
| Description | The speechreading part of the project has assisted the development of the profession of forensic speechreaders; the avatar research has contributed to new developments in automated sign language generation |
| First Year Of Impact | 2010 |
| Sector | Creative Economy,Digital/Communication/Information Technologies (including Software),Government, Democracy and Justice |
| Impact Types | Economic |