Carnegie Mellon University
Browse
file.pdf (201.27 kB)

A multisensory non-invasive system for laughter analysis

Download (201.27 kB)
journal contribution
posted on 2014-08-01, 00:00 authored by Sarah Cosentino, Susanne Burger, Lara Martin, Florian MetzeFlorian Metze, Tatsuhiro Kishi, Kenji Hashimoto, Salvatore Sessa, Massimiliano Zecca, Atsuo Takanishi

Laughter is an important non-verbal human social signal. Clarifying the mechanism of laughing would be useful in a variety of studies on health or sociology. In this paper we introduce a non-invasive multisensory system for real-time laughter detection and analysis. We focus only on the audio laughter recognition, present the preliminary results we obtained, and discuss the possible application of this system in the medical field

History

Publisher Statement

© 2014 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

Date

2014-08-01

Usage metrics

    Categories

    Keywords

    Language Technologies

    Licence

    In Copyright

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC