Deep learning for human affect recognition: Insights and new developments
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Recognizing emotions during social interactions has many potential applications with the
popularization of low-cost mobile sensors, but a challenge remains with the lack of …
popularization of low-cost mobile sensors, but a challenge remains with the lack of …
Multimodal human-human-robot interactions (mhhri) dataset for studying personality and engagement
O Celiktutan, E Skordos… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper we introduce a novel dataset, the Multimodal Human-Human-Robot-
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …
Recognizing induced emotions of movie audiences from multimodal information
Recognizing emotional reactions of movie audiences to affective movie content is a
challenging task in affective computing. Previous research on induced emotion recognition …
challenging task in affective computing. Previous research on induced emotion recognition …
Automatic speech-based longitudinal emotion and mood recognition for mental health treatment
(57) ABSTRACT A method of predicting a mood state of a user may include recording an
audio sample via a microphone of a mobile computing device of the user based on the …
audio sample via a microphone of a mobile computing device of the user based on the …
Tapsense: Combining self-report patterns and typing characteristics for smartphone based emotion detection
Typing based communication applications on smartphones, like WhatsApp, can induce
emotional exchanges. The effects of an emotion in one session of communication can …
emotional exchanges. The effects of an emotion in one session of communication can …
Exploiting social and local contexts propagation for inducing Chinese microblog-specific sentiment lexicons
C Zhao, S Wang, D Li - Computer Speech & Language, 2019 - Elsevier
Sentiment lexicons including opinion words, sentiment phrases, and idioms with sentiment
polarities play an important role in sentiment analysis tasks. Apart from explicit sentiment …
polarities play an important role in sentiment analysis tasks. Apart from explicit sentiment …
Moving as a leader: Detecting emergent leadership in small groups using body pose
Detecting leadership while understanding the underlying behavior is an important research
topic particularly for social and organizational psychology, and has started to get attention …
topic particularly for social and organizational psychology, and has started to get attention …
Automatic recognition of self-reported and perceived emotions
B Zhang, EM Provost - Multimodal behavior analysis in the wild, 2019 - Elsevier
Emotion transmits important information that allows us to interpret an individual's intention
and behavior. The goal of automatic emotion recognition is to distill emotion from behavioral …
and behavior. The goal of automatic emotion recognition is to distill emotion from behavioral …
Emotion Recognition in the Real-World: Passively Collecting and Estimating Emotions from Natural Speech Data of Individuals with Bipolar Disorder
Emotions provide critical information regarding a person's health and well-being. Therefore,
the ability to track emotion and patterns in emotion over time could provide new …
the ability to track emotion and patterns in emotion over time could provide new …