Modeling the Production of Coverbal Iconic Gestures by Learning Bayesian Decision Networks

GNetIc - Using Bayesian Decision Networks for Iconic Gesture Generation

Expressing spatial information with iconic gestures is abundant in human communication and requires to transform a referent representation into resembling gestural form. This task is challenging as the mapping is determined by the visuo-spatial features of the referent, the overall discourse context as well as concomitant speech, and its outcome varies considerably across different speakers. We...

A Model for the Representation and Processing of Shape in Coverbal Iconic Gestures

Verbal descriptions of object shape are frequently accompanied by iconic gestures expressing meaning via similarity to the referent. This paper presents a study examining the morphological variety of shape-related iconic gestures and the way they express aspects of object shape. It is shown that information about object extent, object boundary, and part structure is reflected both in coverbal g...

An Introduction to Inference and Learning in Bayesian Networks

Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...

Coverbal Iconic Gestures for Object Descriptions in Virtual Environments: An Empirical Study

A Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf

Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation  method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...