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Person

Simon Flutura

Informatiker

Name	Simon Flutura
Time	ca. 20. / 21. Jh. (Date of birth and death)
Place	Deutschland
Academic degree	M.Sc.
Profession	Informatiker (characteristic profession) Wissenschaftlicher Mitarbeiter
Topic	Personen zu Informatik, Datenverarbeitung
Further information	Wiss. Mitarbeiter am Institut für Informatik d. Univ. Augsburg (Stand 01/20)
Source	https://www.informatik.uni-augsburg.de/lehrstuehle/hcm/staff/flutura/ (Stand: 13.01.2020)
Record type	Person
GND-Identifier	120271739X
Record ID	120271739X
Involved in show all Dynamic difficulty adjustment in virtual reality exergames through experience-driven procedural content generation Mobile social signal interpretation in the wild for wellbeing Interactive machine learning and explainability in mobile classification of forest-aesthetics Towards quantifying forest recreation: exploring outdoor thermal physiology and human well-being along exemplary pathways in a central European urban forest (Augsburg, SE-Germany) Creativity support and multimodal pen-based interaction Exploration of physiological signals using different locomotion techniques in a VR adventure game Mobile sensing for wellbeing estimation of urban green using physiological signals Stress annotations from older adults - exploring the foundations for mobile ML-based health assistance DrinkWatch: a mobile wellbeing application based on interactive and cooperative machine learning Development of a mobile multi-device nutrition logger Laughter detection in the wild: demonstrating a tool for mobile social signal processing and visualization MobileSSI - a multi-modal framework for social signal interpretation on mobile devices MobileSSI: asynchronous fusion for social signal interpretation in the wild Stress recognition in daily work

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Katalog der Deutschen Nationalbibliothek

Simon Flutura

Dynamic difficulty adjustment in virtual reality exergames through experience-driven procedural content generation

Mobile social signal interpretation in the wild for wellbeing

Interactive machine learning and explainability in mobile classification of forest-aesthetics

Towards quantifying forest recreation: exploring outdoor thermal physiology and human well-being along exemplary pathways in a central European urban forest (Augsburg, SE-Germany)

Creativity support and multimodal pen-based interaction

Exploration of physiological signals using different locomotion techniques in a VR adventure game

Mobile sensing for wellbeing estimation of urban green using physiological signals

Stress annotations from older adults - exploring the foundations for mobile ML-based health assistance

DrinkWatch: a mobile wellbeing application based on interactive and cooperative machine learning

Development of a mobile multi-device nutrition logger

Laughter detection in the wild: demonstrating a tool for mobile social signal processing and visualization

MobileSSI - a multi-modal framework for social signal interpretation on mobile devices

MobileSSI: asynchronous fusion for social signal interpretation in the wild

Stress recognition in daily work