Deep learning systems for estimating visual attention in robot-assisted therapy of children with autism and intellectual disability
- Submitting institution
-
Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1528
- Type
- D - Journal article
- DOI
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10.3390/robotics7020025
- Title of journal
- Robotics
- Article number
- ARTN 25
- First page
- 25
- Volume
- 7
- Issue
- 2
- ISSN
- 2218-6581
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was carried out as part of the EU H2020 MSCA-IF CARER-AID project (€183k, grant agreement 703489), an international collaboration with the University of Catania (Italy) and the IRCCS Oasi (Italy). The latter is an internationally renowned research and care institute that provided the clinical setting for the study, which involved dealing with several technical challenges like unconstrained setting, limited computational resources and analyse videos from a low-resolution camera integrated on a moving robot. The success led to a follow-up project with the Sheffield Children’s Hospital (SCH), funded by the SCH Trust and the Sheffield Innovation Programme (£25k).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -