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A review and meta-analysis of multimodal affect detection systems
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …
from several areas. The field is in need of a systematic review due to the recent influx of …
A comparative study of face landmarking techniques
Face landmarking, defined as the detection and localization of certain characteristic points
on the face, is an important intermediary step for many subsequent face processing …
on the face, is an important intermediary step for many subsequent face processing …
Analysis of EEG signals and facial expressions for continuous emotion detection
Emotions are time varying affective phenomena that are elicited as a result of stimuli. Videos
and movies in particular are made to elicit emotions in their audiences. Detecting the …
and movies in particular are made to elicit emotions in their audiences. Detecting the …
Affective personalization of a social robot tutor for children's second language skills
Though substantial research has been dedicated towards using technology to improve
education, no current methods are as effective as one-on-one tutoring. A critical, though …
education, no current methods are as effective as one-on-one tutoring. A critical, though …
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 …
AFFDEX SDK: a cross-platform real-time multi-face expression recognition toolkit
We present a real-time facial expression recognition toolkit that can automatically code the
expressions of multiple people simultaneously. The toolkit is available across major mobile …
expressions of multiple people simultaneously. The toolkit is available across major mobile …
BAUM-1: A spontaneous audio-visual face database of affective and mental states
In affective computing applications, access to labeled spontaneous affective data is
essential for testing the designed algorithms under naturalistic and challenging conditions …
essential for testing the designed algorithms under naturalistic and challenging conditions …
Affectiva-mit facial expression dataset (am-fed): Naturalistic and spontaneous facial expressions collected
Computer classification of facial expressions requires large amounts of data and this data
needs to reflect the diversity of conditions seen in real applications. Public datasets help …
needs to reflect the diversity of conditions seen in real applications. Public datasets help …
Flat vs. expressive storytelling: Young children's learning and retention of a social robot's narrative
Prior research with preschool children has established that dialogic or active book reading is
an effective method for expanding young children's vocabulary. In this exploratory study, we …
an effective method for expanding young children's vocabulary. In this exploratory study, we …
Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads
Billions of online video ads are viewed every month. We present a large-scale analysis of
facial responses to video content measured over the Internet and their relationship to …
facial responses to video content measured over the Internet and their relationship to …