面向老人迟滞性特征的可信情感计算

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. 

Trusted affective computing based on hysteresis characteristics of the elderly

By using the hysteresis characteristics in the cognitive psychological characteristics of the elderly, combined with an affective computing model based on Gross cognitive reappraisal, this paper takes consideration of the influence of the hysteresis characteristics on individual emotional state transition. It then establishes a hysteresis factor, based on cognitive reappraisal parameters, to correct the cognitive reappraisal ability of current emotional states, then simulates and analyzes the revised affective computing model using MATLAB. This improves the hysteresis factor effectively and revises the affective computing model resulting in more natural and harmonious human-robot interaction. To achieve the trusted affective computing model, this paper combines an FPGA hardware platform with an AES cipher algorithm for elderly affective information encryption processing, to realize the data trust in the affective computing. In this study, all the hardware components were built in the FPGA chip EP4CE115F29C7 using SOPC technology, the logic program was wrote, and the AES cipher algorithm was implemented with combination of the hardware components, to realize real-time data transmission and security during the process of affective computing, and its trust was improved. Finally, the experimental results show that the affective computing model under hysteresis characteristics is highly consistent with true elderly emotion, and trusted computing encourages a positive emotional state in the elderly.