Intelligent Guiding Model based on Environment Perception and Posture Recognition

Through the platform of smart education, teachers and students can enjoy equal access to knowledge. This is helpful to solve the problem of information asymmetry between teachers and students in teaching. This new education and teaching system can improve students' participation in curriculum learning and cultivate their hard work spirit in professional learning. In order to recognize and classify actions accurately, this paper chooses the EM algorithm based on Gaussian mixture model which is an iterative optimization algorithm. Each iteration is divided into expectation step and maximum likelihood step. Finally, the optimal convergence value can be found according to each iteration step.