USILaughs

Jan 1, 2024 · 1 min read
datasets

USILaughs was collected to predict laughing episodes using wearable devices. Participants watched funny videos while being recorded, and independent annotators labelled laughing episodes and their intensity, along with other events such as relaxation, cognitive load, clapping, and fake laughing, together with participant demographics (e.g. age).

The original video recordings were destroyed after annotation and are not available; the funny videos used in the study are. Personal information is not shared, for privacy reasons.

Available to other researchers on request for research purposes, subject to a data-sharing agreement — contact the group heads.

Silvia Santini
Authors
Professor
Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since September 2016, where she co-leads the People-Centered Computing Lab together with Prof. Marc Langheinrich. From July 2014 until August 2016 she held an Associate Professor position at TU Dresden, where she led the Embedded Systems Lab. From October 2011 until July 2014 she was an Assistant Professor at the Department of Electrical Engineering and Information Technology of TU Darmstadt, Germany, where she led the Wireless Sensor Networks Lab. From 2009 until 2011 she was a postdoctoral researcher in Prof. Friedemann Mattern’s Distributed Systems Group at ETH Zurich, and from November 2010 until February 2011 she joined Leonidas Guibas’s research group at Stanford University as a visiting scholar. Silvia completed her PhD under the supervision of Prof. Friedemann Mattern at ETH Zurich in 2009, and graduated in Telecommunication Engineering (with honors) from the Sapienza University of Rome, Italy, in May 2004.