10.1184/R1/6472976.v1 Sarah Cosentino Sarah Cosentino Susanne Burger Susanne Burger Lara Martin Lara Martin Florian Metze Florian Metze Tatsuhiro Kishi Tatsuhiro Kishi Kenji Hashimoto Kenji Hashimoto Salvatore Sessa Salvatore Sessa Massimiliano Zecca Massimiliano Zecca Atsuo Takanishi Atsuo Takanishi A multisensory non-invasive system for laughter analysis Carnegie Mellon University 2014 Language Technologies 2014-08-01 00:00:00 Journal contribution 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>