Product design process period division method based on brain electrical signals

Abstract

The invention discloses a product design process period division method based on brain electrical signals, relates to product design thinking process period division methods based on the brain electrical signals and belongs to the fields of product assistant design, knowledge engineering and intelligent manufacturing. According to the implementation method, basic rhythm waves suitable for the brain electrical signals in the product design thinking process are selected, a frequency range corresponding to the basic rhythm waves is obtained, the brain electrical signals of a designer in the design process are collected, wavelet decomposition is performed on the brain electrical signals, and brain electrical basic rhythm waves are obtained according to the wavelet decomposition result and thefrequency range of the selected basic rhythm waves of the brain electrical signals; brain electrical feature parameters of each time window are sequentially calculated, and feature parameter points are obtained; clustering analysis based on density peaks is performed on the feature parameters of all the windows, and a clustering result of the design thinking state based on the brain electrical signals is obtained; brain electrical signal period division is performed according to the obtained clustering result of the design thinking state based on the brain electrical signals; and the brain electrical signal period division result is utilized to solve engineering problems.

Description

technical field [0001] The invention relates to a product design process staging method, in particular to a product design thinking process staging method based on electroencephalogram signals, belonging to the fields of product aided design, knowledge engineering and intelligent manufacturing. Background technique [0002] For the research on product design thinking, obtaining the designer's state of mind is a key step. At present, the acquisition methods of thinking state are subject to the problem of subjective factors to varying degrees. Therefore, it is very valuable to study the objective description method of design thinking. [0003] More recently, design thinking researchers have used physiological signals, such as brain electricity, to describe the product design process. The academic field has also realized that design thinking research based on EEG signals is an important theoretical research direction of design science. EEG signals are the main reflection of t...

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Problems solved by technology

[0006] Aiming at the following defects of the prior art: (1) the current acquisition methods of the state of mind have the problem that subjective factors have a large influence in varying degrees; there is a lack of an objective description method for design thinking; (2) the EEG signal has non-stationarity, Due to the characteristics of randomness, nonlinearity and low signal-to-noise ratio, it is difficult to stage the process of EEG signals; (3) for different designers, there are different product process design stages, and the existing technology cannot be used according to different designers. Individual characteristics for process staging

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