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Dissertation
Patterns of Practice - Interdisciplinary Negotiation of Cultural Complexity through Practice-Based Methods in Informatics
(2022)
Following the principle of knowing through making, this thesis discusses development and application of a practice-based methodology for construction of digital artefacts within
cultural contexts. It addresses the epistemological diversity and complexity inhering within interdisciplinary projects, suggesting methodological devices able to navigate the variegated disciplinary landscape present within respective development projects. The conceptual pair complexity/complication acts as theoretical point of reference ...
Zeitschrift
Jahresbericht 2023
(Universität Kassel, Fachbereich Wirtschaftswissenschaften, 2024)
Working paper
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Basic Video Production
(2024-05)
Basic Video Production Handbook - OER created in the context of a Global Partnership Network Course on Participatory Video. //
This handbook offers a simple, step-by-step guide through the process of video-making, offering tips for planning and preparation, storytelling, camera-handling skills and video editing. It is designed to assist beginners in putting together short videos, using a smartphone and minimal, low-cost equipment. Video is now a mainstream communication tool that can be created and shared by ...
Dissertation
![Open Access](/themes/Mirage2/images/Open_Access_logo_PLoS_transparent.svg)
Object Detection for Automotive Radar Perception
(2024)
Automated vehicles are among the biggest trends in the automotive industry. The desired level of automation slowly progresses from advanced driver assistance system functions to fully autonomous driving. Excellent environmental perception is a critical requirement in this development. This thesis focuses on solutions to the challenges that come with the utilization of automotive radar systems for road user recognition. Therefore, several machine learning techniques are applied and compared to detect and classify ...
Dissertation
Algorithms for Emotion Recognition
(2023)
Technological advancements have increasingly facilitated emotion recognition through physiological sensors integrated into intelligent devices, such as earables and wristbands. People commonly wear these devices in their everyday lives (i.e., in the wild). Patterns can be extracted from various physiological signals, enabling the recognition of emotions. This capability can be integrated into diverse applications, such as attention management systems, human-robot interaction, and stress detection, enhancing them to ...