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In this paper, we focus on the development of new methods to detect and analyze laughter, in order to enhance human-computer interactions. First, the general architecture of such a laughter-enabled application is presented. Then, we propose the use of two new modalities, namely body movements and respiration, to enrich the audiovisual laughter detection and classification phase. These additional signals are acquired using easily constructed affordable sensors. Features to characterize laughterdoi:10.1007/978-3-319-03892-6_22 fatcat:unm4li2wxzcl3avtramijr6s2i