Autism-oriented visual motion integration capability intelligent identification system

Abstract

The invention discloses an autism-oriented visual motion integration capability intelligent identification system. The system comprises a user login module, a control and communication module, a game providing module, a game performance analysis module, a visual attention perception module, a hand action perception module, a visual perception judgment module, a hand-eye coordination judgment module, a fine action recognition module and a visual motion integration ability recognition module. Visual motion integration is intelligently recognized from three aspects of visual perception, fine motion and hand-eye coordination, the visual motion integration capability of autism can be comprehensively, comprehensively and accurately recognized, and a reasonable calculation method is designed for the hand-eye coordination capability and the fine motion capability, so that recognition is finer.

Description

technical field [0001] The invention belongs to the technical field of special education and human-computer interaction, and more specifically relates to an intelligent identification system for autism-oriented visual-motor integration ability. Background technique [0002] Visuomotor integration refers to the integration of people's acceptance of visual input and motor output, that is, the coordination ability of human visual perception and motor skills, which is the basis of adaptive behavior in autism and affects the development of other abilities, such as imitation ability , language, daily living skills, and even reading and writing skills after school. The development of children's multiple intelligences requires good visual-motor integration ability. [0003] The traditional recognition methods of visual-motor integration are mainly represented by using pen and paper to copy or stroke graphics. This recognition task is suitable for all kinds of children's visual-mot...

AI Technical Summary

Problems solved by technology

In the prior art, the information-based representation of standard scales is proposed, in order to overcome the problems of subjective judgment and qualitative evaluation in traditional recognition, and to judge children's visual-motor integration level with indicators such as accuracy rate and completion time. The following problems exist in the existing technologies for identification by technology: task difficulty is not suitable for children with cognitive impairment or young children, and ignores the dynamic measurement of the task process, which cannot reflect the individual performance of the task completion method. It is difficult to meet the needs of refined identification, and it is impossible to provide a strong basis for precise intervention

Images