Science communication conducted through mobile devices and mobile applications is an
efficient and widespread phenomenon that requires communicators and design practitioners …

This paper deals with the results of a machine learning experiment conducted on annotated
gesture data from two case studies (Danish and Estonian). The data concern mainly facial …

This study aims to make public sports health emergency corpus as a way to deal with public
health emergency such as COVID‐19, reducing the losses affected by an illness or health …

Multimodal studies posit that meaning is not only communicated through spoken and written
words, but also through other modes such as images, gesture, gaze, proximity etc. The …

В докладе приводится архитектура компьютерных агентов, которые имитируют
эмоциональное речевое поведение, в частности, изменения настроения во времени. В …

This paper deals with the analysis and annotation of gestures which we call stand-up
gestures. These gestures distinguish themselves from the flow of verbal information …

This paper presents on-going work on constructing bilingual multimodal corpora of referring
expressions in collaborative problem solving for English and Japanese. The corpora were …

Abstract We introduce Iterative Perceptual Learning (IPL), a novel approach to learn
computational models for social behavior synthesis from corpora of human–human …

Multimodal representation of entities: A corpus-based investigation of co-speech hand gesture
Page 1 Multimodal representation of entities: A corpus-based investigation of co-speech hand …

Advances in animation and sensor technology allow us to engage in face-to-face
conversations with virtual agents [1]. One major challenge is to generate the virtual agent's …