Abstract: In a world that values personalized, interactive, and easily accessible learning, our project stands at the intersection of art and technology, offering an innovative solution. We aim to revolutionize the understanding and teaching of complex movements by providing a tailored and immersive learning experience, departing from traditional tutorials. In the domain of Motion Knowledge, where movement's beauty meets learners' enthusiasm, our project represents a groundbreaking approach.
Driven by the belief that tutorials should be inclusive, we leverage cutting-edge technology like PoseNet and CGAN to deconstruct tutorials into digestible steps, simplifying the learning journey. Our primary objective is to empower individuals of all skill levels to explore, learn, and excel in the art of movement without unnecessary complications. Our project provides dynamic and highly personalized learning experiences accessible to individuals from diverse backgrounds, whether they're novices or seasoned practitioners.
Users actively shape their motion education narrative, fostering creativity, skill mastery, and a profound connection with their movements. Our unique solution marries art and technology to meet the demand for engaging and personalized learning experiences
Keywords: PoseNet, CGAN, Motion Knowledge, personalized learning experiences, immersive learning experience.
Cite:
Mr. Annappa Swamy D.R, Akshira, Arghyashree, Ashvitha Shetty, Gajesh Naik,"MOTION TUTOR: ANIMATED MOTION USING DEEP LEARNING", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133122.
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DOI:
10.17148/IJARCCE.2024.133122
