Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools
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 …
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
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 …
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 …
human-human communications. Conversation scene analysis aims to provide the automatic …
Affective conversational agents: the role of personality and emotion in spoken interactions
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 …
implications for the development of affective conversational agents. We focus on the role that …
A method for structuring meeting logs using wearable sensors
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 …
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
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 …
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
Understanding multiparty human interaction dynamics is a challenging problem involving
multiple data modalities and complex ordered interactions between multiple people. We …
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 …
introduction to the area, with a focus on the analysis, recognition and interpretation of human …
Ambient Suite: enhancing communication among multiple participants
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 …
communication among multiple participants. In Ambient Suite, the room itself works as both …
Analysis of group conversations: Modeling social verticality
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 …
on nonverbal behavior of social interaction, in particular social verticality, such as …