activity
20192026
most citedUsing Big Five Personality Model to Detect Cultural Aspects in Crowds

25 citations · 114 across the 33 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019

A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences

Rodolfo Migon Favaretto, Victor Araujo, Soraia Raupp Musse +2

This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features. The p…

cs.CV2019★ 1 cited

Automatic Dataset Augmentation Using Virtual Human Simulation

Marcelo C. Ghilardi, Leandro Dihl, Estevão Testa +4

Virtual Human Simulation has been widely used for different purposes, such as comfort or accessibility analysis. In this paper, we investigate the possibility of using this type of…

cs.GR2019

How much do you perceive this? An analysis on perceptions of geometric features, personalities and emotions in virtual humans (Extended Version)

Victor Araujo, Rodolfo Migon Favaretto, Paulo Knob +3

This work aims to evaluate people's perception regarding geometric features, personalities and emotions characteristics in virtual humans. For this, we use as a basis, a dataset co…

cs.CV2019★ 1 cited

Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation

Cliceres dal Bianco, Soraia Raupp Musse

While human and group analysis have become an important area in last decades, some current and relevant applications involve to estimate future motion of pedestrians in real video…

cs.CV2019★ 25 cited

Using Big Five Personality Model to Detect Cultural Aspects in Crowds

Rodolfo Migon Favaretto, Leandro Dihl, Soraia Raupp Musse +2

The use of information technology in the study of human behavior is a subject of great scientific interest. Cultural and personality aspects are factors that influence how people i…