Her primary areas of investigation include Human–computer interaction, Cognitive psychology, Affect, Artificial intelligence and Body movement. The concepts of her Human–computer interaction study are interwoven with issues in Multimedia, Expression and Cognitive science. Her Cognitive psychology study combines topics from a wide range of disciplines, such as Modality, Perception and Human communication.
Her Affect research includes themes of Facial expression and Pattern recognition. Artificial intelligence is closely attributed to Machine learning in her research. Her study looks at the intersection of Sonification and topics like Rehabilitation with Physical medicine and rehabilitation and Chronic pain.
Her primary areas of study are Human–computer interaction, Artificial intelligence, Cognitive psychology, Body movement and Perception. Nadia Bianchi-Berthouze has included themes like Multimedia and Gesture in her Human–computer interaction study. Her work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision.
The various areas that Nadia Bianchi-Berthouze examines in her Cognitive psychology study include Context, Affect, Movement, Modality and Expression. Her work in Affect addresses issues such as Affective computing, which are connected to fields such as Speech recognition. In Chronic pain, she works on issues like Electromyography, which are connected to Rehabilitation.
Nadia Bianchi-Berthouze focuses on Chronic pain, Artificial intelligence, Movement, Cognitive psychology and Rehabilitation. Her Chronic pain research incorporates elements of Intervention, Electromyography, Deep learning and Human–computer interaction. Her Human–computer interaction research is multidisciplinary, incorporating perspectives in Affect and Identification.
Her research integrates issues of Global Workspace Theory and Machine learning in her study of Artificial intelligence. Nadia Bianchi-Berthouze studied Cognitive psychology and Sonification that intersect with Perception and Design technology. Her studies deal with areas such as Classifier, Facial expression and Physical medicine and rehabilitation as well as Rehabilitation.
Chronic pain, Rehabilitation, Physical medicine and rehabilitation, Wearable technology and Artificial intelligence are her primary areas of study. Her Chronic pain research is multidisciplinary, relying on both Intervention and Human–computer interaction. Her Rehabilitation study integrates concerns from other disciplines, such as Classifier, Inference, Support vector machine and Personalization.
Her research in Physical medicine and rehabilitation intersects with topics in Virtual rehabilitation and Random forest. Her Deep learning, Motion capture, Artificial neural network and Feature study in the realm of Artificial intelligence connects with subjects such as Workload. Her Deep learning study incorporates themes from Cognitive psychology, Movement, Activities of daily living, Variety and Electromyography.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Affective Body Expression Perception and Recognition: A Survey
Andrea Kleinsmith;Nadia Bianchi-Berthouze.
IEEE Transactions on Affective Computing (2013)
Does Body Movement Engage You More in Digital Game Play? and Why?
Nadia Bianchi-Berthouze;Whan Woong Kim;Darshak Patel.
affective computing and intelligent interaction (2007)
Understanding the role of body movement in player engagement
Nadia Bianchi-Berthouze.
Human-Computer Interaction (2012)
Cross-cultural differences in recognizing affect from body posture
Andrea Kleinsmith;P. Ravindra De Silva;Nadia Bianchi-Berthouze.
Interacting with Computers (2006)
Movement-based sports video games: Investigating motivation and gaming experience
Marco Pasch;Marco Pasch;Nadia Bianchi-Berthouze;Betsy van Dijk;Anton Nijholt.
Entertainment Computing (2009)
Automatic Recognition of Non-Acted Affective Postures
A. Kleinsmith;N. Bianchi-Berthouze;A. Steed.
systems man and cybernetics (2011)
Recognizing Affective Dimensions from Body Posture
Andrea Kleinsmith;Nadia Bianchi-Berthouze.
affective computing and intelligent interaction (2007)
What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?
Yuan Gao;Nadia Bianchi-Berthouze;Hongying Meng.
ACM Transactions on Computer-Human Interaction (2012)
Multilinear Multitask Learning
Bernardino Romera-Paredes;Hane Aung;Nadia Bianchi-Berthouze;Massimiliano Pontil.
international conference on machine learning (2013)
Activity tracking: barriers, workarounds and customisation
Daniel Harrison;Paul Marshall;Nadia Bianchi-Berthouze;Jon Bird.
ubiquitous computing (2015)
University College London
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University of Nottingham
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Italian Institute of Technology
University of York
University of Bristol
University of Genoa
Profile was last updated on December 6th, 2021.
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