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Publicação
Enhancing Sports Experiences Through Video-Based Interactions
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| 5.67 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
Video is an essential part of sports interaction among sportspeople. Athletes benefit from self-visualization to correct movement patterns, coaches leverage video analysis to review past events and spectators engage with video to stay connected with their preferred sports. To meet these distinct user needs, it is crucial to establish a holistic approach that considers the intricacies of human interactions within sports contexts. This PhD research adopts a user-centered approach that iteratively creates, develops and evaluates intelligent video-based systems to support meaningful sports interaction. In line with previous work, this research emphasizes how these systems can facilitate visual analysis and knowledge sharing while addressing interaction challenges posed by deploying computer vision in real-world sports scenarios. The findings from this research contribute to the emerging field of SportsHCI, providing design implications for intelligent video-based systems that enhance learning, game analysis and overall interaction across sportspeople. Additionally, it recognizes the significance of machine learning methods in supporting interpersonal collaboration (e.g., athlete-coach), game understanding and personalization in video-based interactions. Situated at the intersection between HCI, computer vision and SportsHCI, this work aligns with core tenets of research in the field that contribute to enhancing user experiences across multimedia applications.
Descrição
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Palavras-chave
computer vision HCI machine learning multimedia sports SportsHCI ubiquitous systems video Human-Computer Interaction Software Artificial Intelligence Computer Graphics and Computer-Aided Design
Contexto Educativo
Citação
Editora
ACM - Association for Computing Machinery