A multisensory non-invasive system for laughter analysis
Sarah Cosentino
Susanne Burger
Lara Martin
Florian Metze
Tatsuhiro Kishi
Kenji Hashimoto
Salvatore Sessa
Massimiliano Zecca
Atsuo Takanishi
10.1184/R1/6472976.v1
https://kilthub.cmu.edu/articles/journal_contribution/A_multisensory_non-invasive_system_for_laughter_analysis/6472976
<p>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</p>
2014-08-01 00:00:00
Language Technologies