  Traditional sign language teaching methods face challenges such as limited
feedback and diverse learning scenarios. Although 2D resources lack real-time
feedback, classroom teaching is constrained by a scarcity of teacher. Methods
based on VR and AR have relatively primitive interaction feedback mechanisms.
This study proposes an innovative teaching model that uses real-time monocular
vision and mixed reality technology. First, we introduce an improved
hand-posture reconstruction method to achieve sign language semantic retention
and real-time feedback. Second, a ternary system evaluation algorithm is
proposed for a comprehensive assessment, maintaining good consistency with
experts in sign language. Furthermore, we use mixed reality technology to
construct a scenario-based 3D sign language classroom and explore the user
experience of scenario teaching. Overall, this paper presents a novel teaching
method that provides an immersive learning experience, advanced posture
reconstruction, and precise feedback, achieving positive feedback on user
experience and learning effectiveness.
