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

A Kalman filter and neural network technology, applied in the field of evaluation method and system of autism hugging machine experience, can solve the problem of not being able to quickly obtain user experience data of the improved hugging machine

Inactive Publication Date: 2019-06-21
CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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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 pr...

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

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Embodiment Construction

[0061] In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident, however, that these embodiments may be practiced without these specific details.

[0062] Aiming at the problem that the R&D personnel cannot quickly obtain the user experience data of the improved hugging machine during the product development process, the present invention provides a method and system for evaluating the experience of the hugging machine for autism based on the Kalman filter neural network.

[0063] The present invention trains the KNNF neural network by collecting user videos and user survey data, recognizes the video of the user using the improved hugging machine through the trained KNNF neural network, and quickly obtains user experience data of the user.

[0064] The present invention adopts KNNF (Kalman Filter Neutral Network) network in the implementation pro...

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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....

Claims

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Application Information

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IPC IPC(8): G16H20/70G06K9/00G06N3/04
Inventor 李太福廖志强尹蝶段棠少张志亮黄星耀
Owner CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY
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