Affective computing in education: A systematic review and future research
It is becoming a trend to apply an emotional lens and to position emotions as central to
educational interactions. Recently, affective computing has been one of the most actively …
educational interactions. Recently, affective computing has been one of the most actively …
How can high-frequency sensors capture collaboration? A review of the empirical links between multimodal metrics and collaborative constructs
This paper reviews 74 empirical publications that used high-frequency data collection tools
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …
to capture facets of small collaborative groups—ie, papers that conduct Multimodal …
A framework for studying design thinking through measuring designers' minds, bodies and brains
This paper presents a framework for studying design thinking. Three paradigmatic
approaches are described to measure design cognitive processes: design cognition, design …
approaches are described to measure design cognitive processes: design cognition, design …
A framework for operator–workstation interaction in Industry 4.0
We draw on cognitive and behavioural theories and on the artificial intelligence literature in
order to propose a framework of future operator–workstation interaction in the 'Industry …
order to propose a framework of future operator–workstation interaction in the 'Industry …
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors
Medication non-adherence is a major concern in the healthcare industry and has led to
increases in health risks and medical costs. For many neurological diseases, adherence to …
increases in health risks and medical costs. For many neurological diseases, adherence to …
Analysis of designer emotions in collaborative and traditional computer-aided design
J Zhou, V Phadnis… - Journal of …, 2021 - asmedigitalcollection.asme.org
We developed a new method to link designer emotions with corresponding designer
activities while using computer-aided design (cad) software. Our method employs …
activities while using computer-aided design (cad) software. Our method employs …
CNN-Transformer based emotion classification from facial expressions and body gestures
Classifying the correct emotion from different data sources such as text, images, videos, and
speech has been an inspiring research area for researchers from various disciplines …
speech has been an inspiring research area for researchers from various disciplines …
Body language analysis in healthcare: an overview
Given the current COVID-19 pandemic, medical research today focuses on epidemic
diseases. Innovative technology is incorporated in most medical applications, emphasizing …
diseases. Innovative technology is incorporated in most medical applications, emphasizing …
Generalized zero-shot emotion recognition from body gestures
In human-human interaction, body language is one of the most important emotional
expressions. However, each emotion category contains abundant emotional body gestures …
expressions. However, each emotion category contains abundant emotional body gestures …
Affective action and interaction recognition by multi-view representation learning from handcrafted low-level skeleton features
Human feelings expressed through verbal (eg voice) and non-verbal communication
channels (eg face or body) can influence either human actions or interactions. In the …
channels (eg face or body) can influence either human actions or interactions. In the …