This paper aims to solve the problem that the traditional cognitive measurement has strong subjectivity, which leads to the low reliability and weak objectivity of the subsequent Kansei Engineering (KE) model, thereby proposing a construction method that KE model of product form based on eye-tracking weighting and image cognition by electroencephalogram (EEG)..First, the target perceptual image word and product object were identified. Going forward, based on morphological analysis to deconstruct the product to acquire morphological features, the product experimental sample was reconstructed by orthogonal test methods. Next, the image cognition experiment of image evaluation and eye- tracking combined with EEG was performed, the key image was clear by analyzing testee behavioral data, the coefficient of variation method was used to calculate the cognitive weight of morphological features based on eye movement data, and EEG metrics that correlate closely with imagery were identified by time-frequency analysis of EEG data and P300 component extraction of event-related potential (ERP). Finally, ridge regression was introduced to establish the KE models of product form. The charging piles (wall-mounted) were taken as an example, after verification and analysis, the prediction results of the model are highly consistent with the image evaluation results. In conclusion, the model can objectively and accurately predict the image of product forms to assist designers more effectively in perceptual innovative design.