Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
Deep learning approach for emotion recognition from human body movements with feedforward deep convolution neural networks
R Santhoshkumar, MK Geetha - Procedia Computer Science, 2019 - Elsevier
Nowadays, analysis of human body movements for emotion recognition is essential for
social communication. Non-verbal communication methods like body movements, facial …
social communication. Non-verbal communication methods like body movements, facial …
Application of machine learning algorithms for facial expression analysis
V Uma Maheswari, R Aluvalu… - Mach. Learn. Sustain …, 2021 - degruyter.com
Nowadays, facial expression analysis (FEA) is becoming an important application on
various fields such as medicine, education, entertainment and crime analysis because it …
various fields such as medicine, education, entertainment and crime analysis because it …
Laughter recognition using non-invasive wearable devices
A growing number of pervasive systems integrate emotion recognition capabilities with the
aim of fostering and promoting human health and wellbeing. In this paper, we argue that …
aim of fostering and promoting human health and wellbeing. In this paper, we argue that …
Room for one more?-introducing artificial commensal companions
Commensality is defined as" a social group that eats together" and eating in a commensality
setting has a number of positive effects on humans. In this paper, we discuss how HCI and …
setting has a number of positive effects on humans. In this paper, we discuss how HCI and …
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild
J Vargas-Quiros, L Cabrera-Quiros… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Although laughter is known to be a multimodal signal, it is primarily annotated from audio. It
is unclear how laughter labels may differ when annotated from modalities like video, which …
is unclear how laughter labels may differ when annotated from modalities like video, which …
Emotion and body-based games: Overview and opportunities
N Bianchi-Berthouze, K Isbister - Emotion in Games: Theory and Praxis, 2016 - Springer
In this chapter we examine research and theory concerning body movement as a means for
expressing emotion, and techniques for recognizing expressions of emotion in the context of …
expressing emotion, and techniques for recognizing expressions of emotion in the context of …
A new perspective on smiling and laughter detection: Intensity levels matter
Smiles and laughs detection systems have attracted a lot of attention in the past decade
contributing to the improvement of human-agent interaction systems. But very few …
contributing to the improvement of human-agent interaction systems. But very few …
Affect recognition in hand-object interaction using object-sensed tactile and kinematic data
R Niewiadomski, C Beyan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We investigate the recognition of the affective states of a person performing an action with
an object, by processing the object-sensed data. We focus on sequences of basic actions …
an object, by processing the object-sensed data. We focus on sequences of basic actions …
[PDF][PDF] The co-use of laughter and head gestures across speech styles
The multimodal expression of laughter has been studied in various fields, with previous work
focused on the characterization of the visual component during laughter. We investigate …
focused on the characterization of the visual component during laughter. We investigate …