Autism hugger experience evaluating method based on Kalman filtering neural network, and system

Abstract

The invention provides an autism hugger experience evaluating method based on a Kalman filtering neural network, and a system. The method comprises the steps of through developing a mobile phone APP,acquiring process videos of a user in using different types (different parameters such as roller color, roller material, roller width, roller diameter, frame length, frame width and frame height) of huggers (in manners of field photographing through the mobile phone APP or reading a video file) and transmitting to cloud; decomposing the video to continuous series of pictures at cloud; applying face identification technology, identifying a face expression type which corresponds with the series of pictures, acquiring a code vector in which the expression changes along with time, and on a cloud platform, establishing a complicated nonlinear relation model between user experience data and a corresponding user experience process score through a KNNF neural network; and performing video recording for automatically acquiring the user experience valuation result of the user experience process, and using the user experience evaluation result as a basis for updating and optimizing an autism hugger product by an enterprise.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method and system for evaluating the experience of an autism hugging machine based on a Kalman filter neural network. Background technique [0002] These are times of heightened mental health crisis, especially among young people. According to a 2015 report in the Chronicle of Higher Education, suicide is the second-leading killer of college students, after traffic accidents; the overall suicide rate in the U.S. has soared about 25 percent since 1999. For users who suffer from autism, SPD (sensory disturbance), depression, developmental delays or are simply stressed out. Studies have shown that moderately squeezing the body with the help of foreign objects can greatly relieve anxiety and relieve stress. The hug machine claims to reduce psychological stress through back and abdomen bilateral massage, improve limb movement ability, and effectively relieve the general tension of patients....

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that R&D personnel cannot quickly obtain the user experience data of the improved hugging machine in the current product development process, this application provides a method for evaluating the experience of the hugging machine for autism based on the Kalman filter neural network, including the following steps

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