| Departments |
Computer Science, Zienkiewicz Institute for Modelling, Data and AI
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| Description | Live perception of simultaneous human position, face landmarks, and hand tracking on mobile devices enables a variety of modern applications, including fitness and sport analysis, rehabilitation, people assistance, gesture control, and sign language identification. This project will train you how to utilise fast and accurate methods for pose detection using artificial intelligence and how to use the output to characterise human motion while comprehending a given task for a specific goal (e.g. motion analysis, exercise score, robot control). This project will enable you to comprehend how real-time, high-performance pose identification and tracking are driving some of the most significant advancements in computer vision and how real-time tracking of human posture is allowing to build a more detailed and realistic knowledge of human behaviour. After consulting with the supervisor, the exact application can be confirmed. |
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| Preparation | Confident in Python/C++ programming languages/tools. |
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| Project Categories |
Artificial Intelligence (AI), Human Computer Interaction (HCI), Software Engineering |
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| Project Keywords |
Computer Vision, Health Informatics, Numerical Analysis |
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Level of Studies
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| Level 6 (Undergraduate Year 3) |
yes
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| Level 7 (Masters) |
yes
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| Level 8 (PhD) |
yes
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