Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals

Negative symptoms of schizophrenia are often characterized by speech and motor impairments. Therefore, in this paper we combine audio (prosody and conversation) and video (body movement) signals to distinguish patients (43) from healthy control (23) subjects. First, we used these different modalitie...

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Main Authors:	Tan, Bhing-Leet, Lee, Jimmy, Chakraborty, Debsubhra, Yang, Zixu, Yasir, Tahir, Dauwels, Justin, Magnenat-Thalmann, Nadia
Other Authors:	Interdisciplinary Graduate School (IGS)
Format:	Conference or Workshop Item
Language:	English
Published:	2019
Subjects:	Schizophrenia Conversational Speech Signals Social sciences::Sociology
Online Access:	https://hdl.handle.net/10356/89493 http://hdl.handle.net/10220/49700
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-89493
record_format	dspace
spelling	sg-ntu-dr.10356-894932020-11-01T04:43:59Z Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals Tan, Bhing-Leet Lee, Jimmy Chakraborty, Debsubhra Yang, Zixu Yasir, Tahir Dauwels, Justin Magnenat-Thalmann, Nadia Interdisciplinary Graduate School (IGS) Conference of the IEEE Engineering in Medicine and Biology Society Schizophrenia Conversational Speech Signals Social sciences::Sociology Negative symptoms of schizophrenia are often characterized by speech and motor impairments. Therefore, in this paper we combine audio (prosody and conversation) and video (body movement) signals to distinguish patients (43) from healthy control (23) subjects. First, we used these different modalities individually as features in machine learning algorithms yielding an accuracy of 67-79%. Next, we combined the different modalities as features, improving the accuracy to 85%. NMRC (Natl Medical Research Council, S’pore) Accepted version 2019-08-20T07:39:19Z 2019-12-06T17:26:56Z 2019-08-20T07:39:19Z 2019-12-06T17:26:56Z 2018 Conference Paper Chakraborty, D., Yang, Z., Yasir, T., Dauwels, J., Magnenat-Thalmann, N., Tan, B.-L., & Lee, J. (2018). Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals. Conference of the IEEE Engineering in Medicine and Biology Society. https://hdl.handle.net/10356/89493 http://hdl.handle.net/10220/49700 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. 1 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Schizophrenia Conversational Speech Signals Social sciences::Sociology
spellingShingle	Schizophrenia Conversational Speech Signals Social sciences::Sociology Tan, Bhing-Leet Lee, Jimmy Chakraborty, Debsubhra Yang, Zixu Yasir, Tahir Dauwels, Justin Magnenat-Thalmann, Nadia Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
description	Negative symptoms of schizophrenia are often characterized by speech and motor impairments. Therefore, in this paper we combine audio (prosody and conversation) and video (body movement) signals to distinguish patients (43) from healthy control (23) subjects. First, we used these different modalities individually as features in machine learning algorithms yielding an accuracy of 67-79%. Next, we combined the different modalities as features, improving the accuracy to 85%.
author2	Interdisciplinary Graduate School (IGS)
author_facet	Interdisciplinary Graduate School (IGS) Tan, Bhing-Leet Lee, Jimmy Chakraborty, Debsubhra Yang, Zixu Yasir, Tahir Dauwels, Justin Magnenat-Thalmann, Nadia
format	Conference or Workshop Item
author	Tan, Bhing-Leet Lee, Jimmy Chakraborty, Debsubhra Yang, Zixu Yasir, Tahir Dauwels, Justin Magnenat-Thalmann, Nadia
author_sort	Tan, Bhing-Leet
title	Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
title_short	Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
title_full	Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
title_fullStr	Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
title_full_unstemmed	Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
title_sort	assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
publishDate	2019
url	https://hdl.handle.net/10356/89493 http://hdl.handle.net/10220/49700
_version_	1683494519973085184

Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals

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