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Health and Technology
Erschienen in: Health and Technology 5/2018

16.07.2018 | Review Paper

A review: survey on automatic infant cry analysis and classification

verfasst von: Saraswathy Jeyaraman, Hariharan Muthusamy, Wan Khairunizam, Sarojini Jeyaraman, Thiyagar Nadarajaw, Sazali Yaacob, Shafriza Nisha

Erschienen in: Health and Technology | Ausgabe 5/2018

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Abstract

Automatic infant cry classification is one of the crucial studies under biomedical engineering scope, adopting the medical and engineering techniques for the classification of diverse physical and physiological conditions of the infants by their cry signal. Subsequently, plentiful studies have executed and issued, broadened the potential application of cry analyses. As yet, there is no ultimate literature documentation composed by performing a longitudinal study, emphasizing on the boast trend of automatic classification of infant cry. A review of literature is performed using the key words “infant cry” AND “automatic classification” from different online resources, regardless of the year of published in order to produce a comprehensive review. Review papers were excluded. Results of search reported about more than 300 papers and after some exclusion 101 papers were selected. This review endeavors at reporting an overview about recent advances and developments in the field of automated infant cry classification, specifically focusing on the developed infant cry databases and approaches involved in signal processing and recognition phases. Eventually, this article was accomplished with some possible implications which may lead for development of an advanced automated cry based classification systems for real time applications.
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Metadaten
Titel
A review: survey on automatic infant cry analysis and classification
verfasst von
Saraswathy Jeyaraman
Hariharan Muthusamy
Wan Khairunizam
Sarojini Jeyaraman
Thiyagar Nadarajaw
Sazali Yaacob
Shafriza Nisha
Publikationsdatum
16.07.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Health and Technology / Ausgabe 5/2018
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-018-0243-5

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