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Grant Award View - GA28368
Improving the specificity of affective computing via multimodal analysis
GA ID:
GA28368
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Oct-2019 to 30-Jun-2024
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$380,000.00
(GST inclusive where applicable)
Variations:
- GA28368-V6 - Variation to Grant (17-May-2023 )
- GA28368-V5 - Variation to Grant (5-Jul-2022 )
- GA28368-V4 - Variation to Grant (20-Oct-2021 )
- GA28368-V3 - Variation to Grant (2-Aug-2021 )
- GA28368-V2 - Variation to Grant (20-Aug-2019 )
- GA28368-V1 - Variation to Grant (9-Jul-2019 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Improving the specificity of affective computing via multimodal analysis
Purpose:
This project aims to develop multimodal affective sensing techniques that can sense very subtle expressions in human moods and emotions. Much research in affective computing has investigated ways to improve the sensitivity of affect sensing approaches, resulting in more accurate estimates of affective states such as emotions or mood. What remains unsolved so far is the issue of specificity. This project will address this issue through novel analyses of very subtle cues in facial and vocal expressions of affect embedded in a multimodal deep learning framework. Current approaches can successfully assist in binary classification tasks. This project will tackle the much more difficult problem of developing advanced affective sensing technology to simultaneously handle homogeneous and heterogeneous affect classes as well as continuous range estimates of affect intensity.
GO ID:
GO Title:
Discovery Projects commencing in 2019
Internal Reference ID:
DP19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Canberra
Recipient ABN:
81 633 873 422
Grant Recipient Location
Suburb:
BRUCE
Town/City:
BRUCE
Postcode:
2617
State/Territory:
ACT
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
ACT
Postcode:
2617
Country:
AUSTRALIA