面向老人迟滞性特征的可信情感计算

发布时间：2018-05-16 10:36

本文选题：情感计算 + 迟滞性　；参考：《工程科学学报》2017年10期

【摘要】：根据老人认知心理特征中的迟滞性特征,结合基于Gross认知重评的情感计算模型,考虑迟滞性特征对个体情感状态转移的影响,在认知重评参数的基础上,建立迟滞性因子,对当前情感状态下的认知重评能力进行修正,从而对情感计算模型进行有效的修正,使人机交互更加自然和谐.为了实现情感计算模型的可信,结合现场可编程门阵列硬件平台和高级加密标准密码算法对情感计算模型中的老人情感信息进行加密处理,实现情感计算过程中的数据可信.采用可编程片上系统技术在现场可编程门阵列芯片EP4CE115F29C7中搭建功能实现所需的所有硬件组件,结合硬件组件编写逻辑程序并实现高级加密标准密码算法,在情感计算过程中实现数据的实时传输和安全处理,实现可信的情感计算.最后实验结果表明受到迟滞性特征影响下的情感计算模型与老人的真实情感具有高度一致性,且可信计算有助于提升老人的正向情感状态.
[Abstract]:According to the hysteresis characteristics in the cognitive psychological characteristics of the elderly, combined with the emotion calculation model based on the Gross cognitive reappraisal, considering the effect of the hysteresis characteristics on the individual emotional state transfer, the hysteresis factor was established on the basis of the cognitive reappraisal parameters. The cognitive reassessment ability under the current emotional state is modified to effectively modify the emotional computing model and make the human-computer interaction more natural and harmonious. In order to realize the credibility of the emotional computing model, the senior encryption standard cipher algorithm and the field programmable gate array hardware platform are used to encrypt the emotional information of the elderly in the emotional computing model, so that the data in the emotional calculation process can be trusted. The system technology on programmable chip is used to build all the hardware components needed in the field programmable gate array chip (EP4CE115F29C7), and the logic program is written in combination with the hardware component, and the advanced encryption standard cryptography algorithm is realized. In the process of emotional computing, real-time data transmission and secure processing are realized, and trusted emotional computing is realized. Finally, the experimental results show that the calculation model under the influence of hysteresis is highly consistent with the real emotion of the elderly, and credible computing is helpful to improve the positive emotional state of the elderly.
【作者单位】：北京科技大学计算机与通信工程学院;合肥工业大学情感计算与先进智能机器安徽省重点实验室;
【基金】：国家自然科学基金面上资助项目(61672093);国家自然科学基金重点资助项目(61432004) 国家重点研发计划重点专项课题资助项目(2016YFB1001404)
【分类号】：TP242

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