Created on 29th January 2025
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Traditional anatomy learning relies on textbooks, static images, and 2D diagrams, making it difficult to visualize and understand complex skeletal structures. This leads to a lack of engagement and difficulty in retention for students.
By making anatomy engaging, interactive, and immersive, SkeleAR improves learning retention, comprehension, and overall interest in the subject. 🚀
Initially, detecting user interactions with individual bones in the AR environment was a challenge. The colliders were not properly set, causing taps to register inaccurately.
Solution: Adjusted the collider sizes and fine-tuned raycasting to ensure accurate selection of bones.
The audio descriptions for bones had noticeable delays when played in sequence.
Solution: Optimized the audio loading mechanism by preloading sound files and ensuring asynchronous handling.
Migrating the skeleton scene and relevant assets from EducAR to SkeleAR caused missing references and broken scripts.
Solution: Carefully relinked assets, reconfigured scene dependencies, and refactored scripts to fit the new project structure.
Rendering a detailed 3D skeleton in AR was causing performance drops on lower-end mobile devices.
Solution: Optimized the mesh complexity, implemented level of detail (LOD), and adjusted shader settings for better rendering efficiency.
Through these challenges, I gained deeper insights into AR development, performance optimization, and UI/UX refinement.
Technologies used