Exploring AI Applications in Digital Art Creation of Hanoman Balinese Dance Animation

This paper examines the integration of Artificial Intelligence (AI) in the digital creation of Balinese dance animations, with a specific focus on the Hanoman dance character as the case study. Hanoman dance as a part of Balinese dance, known for its intricate movements, unique costume and cultural significance, presents a unique challenge for digital artists. AI technologies, such as machine learning and computer vision, offer novel approaches to capturing and animating these complex dance forms. This study examines current AI applications in this domain, assesses their effectiveness, and discusses the potential advancements and limitations. Through the use of rotoscoping and motion capture techniques, this study adeptly examines the intricate movements of the Hanoman dance, an integral part of Balinese dance heritage, employing text-to-animation and AI models for video footage motion capture. The thorough processes of data collection, preprocessing, and model training emphasized in the study highlight the necessity of a meticulous methodology. Furthermore, incorporating expert feedback during the validation and refinement phases ensures that the digital representations are both authentic and expressive. The study concludes that AI technologies can play a crucial role in preserving Balinese dance, offering educational tools and digital archives that uphold the cultural integrity of this traditional art form.