NDLI: Objective child behavior measurement with naturalistic daylong audio recording and its application to autism identification

Content Provider	IEEE Xplore Digital Library
Author	Dongxin Xu Gilkerson, J. Richards, J.A.
Copyright Year	2012
Description	Author affiliation: LENA Res. Found., Univ. of Colorado, Boulder, CO, USA (Dongxin Xu; Gilkerson, J.; Richards, J.A.)
Abstract	Child behavior in the natural environment is a subject that is relevant for many areas of social science and bio-behavioral research. However, its measurement is currently based mainly on subjective approaches such as parent questionnaires or clinical observation. This study demonstrates an objective and unobtrusive child vocal behavior measurement and monitoring approach using daylong audio recordings of children in the natural home environment. Our previous research has shown significant performance in childhood autism identification. However, there remains the question of why it works. In the previous study, the focus was more on the overall performance and data-driven modeling without regard to the meaning of underlying features. Even if a high risk of autism is predicted, specific information about child behavior that could contribute to the automated categorization was not further explored. This study attempts to clarify this issue by exploring the details of underlying features and uncovering additional behavioral information buried within the audio streams. It was found that much child vocal behavior can be measured automatically by applying signal processing and pattern recognition technologies to daylong audio recordings. By combining many such features, the model achieves an overall autism identification accuracy of 94% (N=226). Similar to many emerging non-invasive and telemonitoring technologies in health care, this approach is believed to have great potential in child development research, clinical practice and parenting.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3708
Ending Page	3711
File Size	1037212
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346772
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable speed drives Autism Correlation Pediatrics Audio recording Accuracy Production
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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