Hand gesture coding based on experiments using a hand gesture interface device
ACM SIGCHI Bulletin
Fundamentals of speech recognition
Fundamentals of speech recognition
Translation and scale-invariant gesture recognition in complex scenes
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Honest Signals: How They Shape Our World
Honest Signals: How They Shape Our World
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic detection of dominance and expected interest
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LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
VlogSense: Conversational behavior and social attention in YouTube
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Human behavior analysis from video data using bag-of-gestures
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Face detection, pose estimation, and landmark localization in the wild
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper we present a non-invasive ambient intelligence framework for the analysis of non-verbal communication applied to conversational settings. In particular, we apply feature extraction techniques to multi-modal audio-RGB-depth data. We compute a set of behavioral indicators that define communicative cues coming from the fields of psychology and observational methodology. We test our methodology over data captured in victim-offender mediation scenarios. Using different state-of-the-art classification approaches, our system achieve upon 75% of recognition predicting agreement among the parts involved in the conversations, using as ground truth the experts opinions.