面向老人遲滯性特征的可信情感計算

韓晶; 解侖; 賀苗; 王志良; 任福繼

doi:10.13374/j.issn2095-9389.2017.10.019

面向老人遲滯性特征的可信情感計算

doi: 10.13374/j.issn2095-9389.2017.10.019

韓晶¹,
解侖^1, ,,
賀苗¹,
王志良¹,
任福繼²

1) 北京科技大學計算機與通信工程學院, 北京 100083
2) 合肥工業大學情感計算與先進智能機器安徽省重點實驗室, 合肥 230009

基金項目:

國家重點研發計劃重點專項課題資助項目(2016YFB1001404)

國家自然科學基金面上資助項目(61672093)

國家自然科學基金重點資助項目(61432004)

詳細信息

中圖分類號: TP751.1
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出版歷程
- 收稿日期: 2016-12-15

Trusted affective computing based on hysteresis characteristics of the elderly

1) School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2) Affective Computing and Advanced Intelligent Machines Key Laboratory, Hefei University of Technology, Hefei 230009, China

摘要

摘要: 根據老人認知心理特征中的遲滯性特征,結合基于Gross認知重評的情感計算模型,考慮遲滯性特征對個體情感狀態轉移的影響,在認知重評參數的基礎上,建立遲滯性因子,對當前情感狀態下的認知重評能力進行修正,從而對情感計算模型進行有效的修正,使人機交互更加自然和諧.為了實現情感計算模型的可信,結合現場可編程門陣列硬件平臺和高級加密標準密碼算法對情感計算模型中的老人情感信息進行加密處理,實現情感計算過程中的數據可信.采用可編程片上系統技術在現場可編程門陣列芯片EP4CE115F29C7中搭建功能實現所需的所有硬件組件,結合硬件組件編寫邏輯程序并實現高級加密標準密碼算法,在情感計算過程中實現數據的實時傳輸和安全處理,實現可信的情感計算.最后實驗結果表明受到遲滯性特征影響下的情感計算模型與老人的真實情感具有高度一致性,且可信計算有助于提升老人的正向情感狀態.
- 情感計算 /
- 遲滯性 /
- 可信計算 /
- 認知重評 /
- 高級加密標準密碼算法
Abstract: 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.
- affective computing /
- hysteresis /
- trusted computing /
- cognitive reappraisal /
- AES cipher algorithm

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