<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
The EU-ICT FET Project ILHAIRE is aimed at endowing machines with automated detection, analysis, and...
Abstract. The aim of the Multimodal and Multiperson Corpus of Laugh-ter in Interaction (MMLI) was to...
Laughter is a highly variable signal, and can express a spectrum of emotions. This makes the automat...
In this paper, we focus on the development of new methods to detect and analyze laughter, in order t...
Despite its relevance for human-human communication, laughter has been quite under-investigated and ...
Abstract—Laughter is clearly an audiovisual event, consist-ing of the laughter vocalization and of f...
Laughter is a powerful cue in communication. It communicates to listeners the emotional state of the...
Abstract. Spontaneous human speech contains a lot of sounds that are not proper speech, yet carry me...
Previous research on automatic laughter detection has mainly been focused on audio-based detection. ...
Non-linguistic signals, specifically, laughter offers a lot of information such as cues on the emoti...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we p...
Previous research on automatic laughter detection has mainly been focused on audio-based detection. ...
In this paper, we investigate the detection of laughter from the user's nonverbal full-body movement...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we p...
This paper presents the results of an empirical study suggesting that, while laughter is a very good...
The EU-ICT FET Project ILHAIRE is aimed at endowing machines with automated detection, analysis, and...
Abstract. The aim of the Multimodal and Multiperson Corpus of Laugh-ter in Interaction (MMLI) was to...
Laughter is a highly variable signal, and can express a spectrum of emotions. This makes the automat...
In this paper, we focus on the development of new methods to detect and analyze laughter, in order t...
Despite its relevance for human-human communication, laughter has been quite under-investigated and ...
Abstract—Laughter is clearly an audiovisual event, consist-ing of the laughter vocalization and of f...
Laughter is a powerful cue in communication. It communicates to listeners the emotional state of the...
Abstract. Spontaneous human speech contains a lot of sounds that are not proper speech, yet carry me...
Previous research on automatic laughter detection has mainly been focused on audio-based detection. ...
Non-linguistic signals, specifically, laughter offers a lot of information such as cues on the emoti...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we p...
Previous research on automatic laughter detection has mainly been focused on audio-based detection. ...
In this paper, we investigate the detection of laughter from the user's nonverbal full-body movement...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we p...
This paper presents the results of an empirical study suggesting that, while laughter is a very good...
The EU-ICT FET Project ILHAIRE is aimed at endowing machines with automated detection, analysis, and...
Abstract. The aim of the Multimodal and Multiperson Corpus of Laugh-ter in Interaction (MMLI) was to...
Laughter is a highly variable signal, and can express a spectrum of emotions. This makes the automat...