Author
Wang, B
Wu, Y
Vaci, N
Liakata, M
Lyons, T
Saunders, K
Journal title
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI
10.1109/ICASSP39728.2021.9413891
Last updated
2024-03-25T03:02:21.5+00:00
Page
7243-7247
Abstract
Bipolar disorder (BD) and borderline personality disorder (BPD) are two chronic mental health conditions that clinicians find challenging to distinguish based on clinical interviews, due to their overlapping symptoms. In this work, we investigate the automatic detection of these two conditions by modelling both verbal and non-verbal cues in a set of interviews. We propose a new approach of modelling short-term features with visibility-signature transform, and compare it with widely used high-level statistical functions. We demonstrate the superior performance of our proposed signature-based model. Furthermore, we show the role of different sets of features in characterising BD and BPD.
Symplectic ID
1162376
Favourite
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Publication type
Conference Paper
ISBN-13
9781728176062
Publication date
13 May 2021
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