A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
Annotation and processing of continuous emotional attributes: Challenges and opportunities
A Metallinou, S Narayanan - 2013 10th IEEE international …, 2013 - ieeexplore.ieee.org
Human emotional and cognitive states evolve with variable intensity and clarity through the
course of social interactions and experiences, and they are continuously influenced by a …
course of social interactions and experiences, and they are continuously influenced by a …
Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions
F Ringeval, A Sonderegger, J Sauer… - 2013 10th IEEE …, 2013 - ieeexplore.ieee.org
We present in this paper a new multimodal corpus of spontaneous collaborative and
affective interactions in French: RECOLA, which is being made available to the research …
affective interactions in French: RECOLA, which is being made available to the research …
Towards emotionally aware AI smart classroom: Current issues and directions for engineering and education
Future smart classrooms that we envision will significantly enhance learning experience and
seamless communication among students and teachers using real-time sensing and …
seamless communication among students and teachers using real-time sensing and …
A multimodal emotional human–robot interaction architecture for social robots engaged in bidirectional communication
A Hong, N Lunscher, T Hu, Y Tsuboi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
For social robots to effectively engage in human–robot interaction (HRI), they need to be
able to interpret human affective cues and to respond appropriately via display of their own …
able to interpret human affective cues and to respond appropriately via display of their own …
Context-aware personality inference in dyadic scenarios: Introducing the udiva dataset
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions,
where interlocutors perform competitive and collaborative tasks with different behavior …
where interlocutors perform competitive and collaborative tasks with different behavior …
Multimodal prediction of affective dimensions and depression in human-computer interactions
Depression is one of the most common mood disorders. Technology has the potential to
assist in screening and treating people with depression by robustly modeling and tracking …
assist in screening and treating people with depression by robustly modeling and tracking …
An investigation of annotation delay compensation and output-associative fusion for multimodal continuous emotion prediction
Continuous emotion dimension prediction has increased in popularity over the last few
years, as the shift away from discrete classification based tasks has introduced more realism …
years, as the shift away from discrete classification based tasks has introduced more realism …
The USC CreativeIT database of multimodal dyadic interactions: From speech and full body motion capture to continuous emotional annotations
Improvised acting is a viable technique to study expressive human communication and to
shed light into actors' creativity. The USC CreativeIT database provides a novel, freely …
shed light into actors' creativity. The USC CreativeIT database provides a novel, freely …