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In this demo, we present MobileSSI, a flexible software framework for Android and embedded Linux platforms, that provides developers with tools to record, analyze and recognize human behavior in real-time on mobile devices. To illustrate the benefits of the framework for the analysis of social group dynamics in naturalistic mobile settings, we present a demonstrator for laughter recognition that was implemented with MobileSSI. The demonstrator makes use of smartphones for sensing and analyzing data and employs smartwatches and tablets for visualizing the results and providing user feedback. To enable communication within the resulting ecology of mobile devices, MobileSSI includes a web socket plugin.

Laughter detection in the wild: demonstrating a tool for mobile social signal processing and visualization