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Pooja Prajod

Informatikerin

Name	Pooja Prajod
Time	ca. 20. / 21. Jh. (Date of birth and death)
Place	Deutschland
Gender	weiblich
Academic degree	M.Sc.
Profession	Informatikerin (characteristic profession) Wissenschaftliche Mitarbeiterin
Topic	Personen zu Informatik, Datenverarbeitung
Further information	Wissenschaftliche Mitarbeiterin am Lehrstuhl für Menschzentrierte Künstliche Intelligenz der Universität Augsburg (Stand 03/22)
Source	https://www.uni-augsburg.de/de/fakultaet/fai/informatik/prof/hcm/team/pooja-prajod/ (Stand: 09.03.2022)
Record type	Person
GND-Identifier	1253157448
Record ID	1253157448
Involved in show all Flow in human-robot collaboration — multimodal analysis and perceived challenge detection in industrial scenarios Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task In the face and heart of data scarcity in Industry 5.0: exploring applicability of facial and physiological AI models for operator well-being in human-robot collaboration Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study Behavioral patterns in robotic collaborative assembly: comparing neurotypical and Autism Spectrum Disorder participants Using explainable AI to identify differences between clinical and experimental pain detection models based on facial expressions Do deep neural networks forget facial action units? - Exploring the effects of transfer learning in health related facial expression recognition

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Katalog der Deutschen Nationalbibliothek

Pooja Prajod

Flow in human-robot collaboration — multimodal analysis and perceived challenge detection in industrial scenarios

Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task

In the face and heart of data scarcity in Industry 5.0: exploring applicability of facial and physiological AI models for operator well-being in human-robot collaboration

Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study

Behavioral patterns in robotic collaborative assembly: comparing neurotypical and Autism Spectrum Disorder participants

Using explainable AI to identify differences between clinical and experimental pain detection models based on facial expressions

Do deep neural networks forget facial action units? - Exploring the effects of transfer learning in health related facial expression recognition