基于脑机接口融合情绪计算的购物辅助决策模型及系统

Shopping Assistant Decision Model and System Based on Brain-Computer Interface Fusion Emotion Calculation

摘要: 本文主要阐述的是通过计算购物者在购物过程中脑波数据和外在面部情绪表情来判断和辅助选择商品。通过对购物者进行购买欲望建模，通过建立计算体系模型来模拟其思维活动，进而实现决策——从中选出需要或可能需要的产品。同时在决策过程中，购物者会产生相应的思维情绪，本模型也考虑了情绪因素在决策中的影响。

Abstract: This paper mainly describes the judgment and auxiliary selection of goods by calculating the brain wave data and the external facial emotion expressions of the shoppers during the shopping process. By modeling the desires of shoppers to purchase, by building a computing system model to simulate their thinking activities, and then to achieve decision-making from which to select the products that need or may be needed. At the same time, in the decision-making process, shoppers will generate corresponding thinking emotions, and this model also considers the influence of emotional factors in decision-making.