🧠 Daily Study Log [2025-09-02]
Shared the finalized 12-week roadmap and discussed novelty directions with teammates for our research project. The plan now has clear weekly milestones and a consolidated novelty statement.

📅 Research Roadmap

• Established a 12-week timeline covering dataset design, metric development, baseline modeling, human feedback integration, explainability, personalization, RL-based coaching, and final paper preparation.
• Weekly outputs range from skeleton extraction prototypes to RL-based feedback systems and ultimately the draft manuscript.

✨ Novelty Directions

1. New Metrics for Untouched Movements
   • Define evaluation criteria for movements like the arm wave where no formal scoring system exists.
2. Quantitative Scoring & Explainability
   • Propose metrics such as Wave Propagation Index and Smoothness Score, while making results interpretable (e.g., “Elbow angle changes were discontinuous”).
3. RL-based Feedback System
   • Move beyond one-shot evaluation by introducing reinforcement learning with human-in-the-loop feedback for iterative skill improvement.
4. Original Dataset Creation
   • Build a novel dataset with self-recorded movements, providing an independent contribution at the undergraduate level.
5. Personalized Evaluation
   • Track individual improvement rather than relying only on absolute scores, enhancing real-world applicability.

📑 Finalized Contribution Statement (Draft)

This research proposes new evaluation metrics and quantitative scoring methods for movements previously lacking formal criteria (e.g., arm wave).
Using a self-constructed dataset, we validate a reinforcement learning–based feedback system to enable iterative improvement.
Furthermore, we emphasize personalized evaluation and explainability, extending the scope of action assessment from simple classification to practical coaching and real-world application.

✅ TL;DR

📍 Shared and finalized 12-week research roadmap
📍 Consolidated novelty into new metrics, RL-based feedback, dataset contribution, and explainability
📍 Drafted a concise contribution statement for future paper writing