An intelligent HMM-based system for training brush techniques in ink painting.

Area of Science:

• Digital Humanities
• Art Education Technology
• Human-Computer Interaction

Background:

• Traditional Oriental ink painting practice is becoming tedious for modern learners.
• This poses a challenge to preserving and transmitting Oriental ink painting skills.
• An innovative digital approach is needed to overcome these barriers.

Purpose of the Study:

• To propose and evaluate an intelligent system, Shukong, for coaching Oriental ink painting.
• To assess the effectiveness of a computer-aided 3D environment for real-time brush manipulation coaching.
• To explore digital methods for preserving Oriental ink painting as intangible cultural heritage.

Main Methods:

• Developed Shukong, an intelligent coaching system for Oriental ink painting.
• Utilized a computer-aided 3D environment with a Wii Remote as a digital paintbrush surrogate.
• Conducted a user study comparing the digital method with traditional practice, involving learners and expert judges.

Main Results:

• The Shukong system demonstrated greater effectiveness in helping students acquire and improve brush manipulation skills compared to traditional methods.
• User study results indicated significant improvements in skill acquisition and refinement.
• The digital method showed potential for strengthening muscle memory for skillful brush operation.

Conclusions:

• The intelligent system Shukong offers a more effective approach to learning Oriental ink painting brush manipulation.
• This digital method provides a novel perspective for the preservation and transmission of Oriental ink painting.
• Shukong can help overcome barriers in learning and ensure the continuity of this traditional art form.