Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools

K Bousmalis, M Mehu, M Pantic - Image and vision computing, 2013 - Elsevier
While detecting and interpreting temporal patterns of nonverbal behavioural cues in a given
context is a natural and often unconscious process for humans, it remains a rather difficult …

We are not all equal: Personalizing models for facial expression analysis with transductive parameter transfer

E Sangineto, G Zen, E Ricci, N Sebe - Proceedings of the 22nd ACM …, 2014 - dl.acm.org
Previous works on facial expression analysis have shown that person specific models are
advantageous with respect to generic ones for recognizing facial expressions of new users …

Conversation scene analysis [social sciences]

K Otsuka - IEEE Signal Processing Magazine, 2011 - ieeexplore.ieee.org
This paper discusses about conservation scene analysis. It has the potential to revitalize
human-human communications. Conversation scene analysis aims to provide the automatic …

Affective conversational agents: the role of personality and emotion in spoken interactions

Z Callejas, R López-Cózar, N Ábalos… - … agents and natural …, 2011 - igi-global.com
In this chapter, we revisit the main theories of human emotion and personality and their
implications for the development of affective conversational agents. We focus on the role that …

A method for structuring meeting logs using wearable sensors

A Ohnishi, K Murao, T Terada, M Tsukamoto - Internet of Things, 2019 - Elsevier
We propose a system that structures a meeting log by detecting and tagging the participants'
actions in the meeting using acceleration sensors. The proposed system detects head …

Analyzing empathetic interactions based on the probabilistic modeling of the co-occurrence patterns of facial expressions in group meetings

S Kumano, K Otsuka, D Mikami… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
This paper presents a novel research framework for the estimation of emotional interactions
produced between meeting participants. The types of emotional interaction targeted in this …

A multi-stream recurrent neural network for social role detection in multiparty interactions

L Zhang, RJ Radke - IEEE Journal of Selected Topics in Signal …, 2020 - ieeexplore.ieee.org
Understanding multiparty human interaction dynamics is a challenging problem involving
multiple data modalities and complex ordered interactions between multiple people. We …

[LIVRE][B] Multimodal Signal Processing: Human Interactions in Meetings

S Renals - 2012 - books.google.com
Bringing together experts in multimodal signal processing, this book provides a detailed
introduction to the area, with a focus on the analysis, recognition and interpretation of human …

Ambient Suite: enhancing communication among multiple participants

K Fujita, Y Itoh, H Ohsaki, N Ono, K Kagawa… - Proceedings of the 8th …, 2011 - dl.acm.org
We propose a room-shaped information environment called Ambient Suite that enhances
communication among multiple participants. In Ambient Suite, the room itself works as both …

Analysis of group conversations: Modeling social verticality

O Aran, D Gatica-Perez - Computer analysis of human behavior, 2011 - Springer
This chapter presents computational methods for the analysis of social interaction. We focus
on nonverbal behavior of social interaction, in particular social verticality, such as …