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Perceptual design method for smart industrial robots based on virtual reality and synchronous quantitative physiological signals
International Journal of Distributed Sensor Networks ( IF 1.9 ) Pub Date : 2020-05-01 , DOI: 10.1177/1550147720917646
Wangqun Xiao 1 , Jianxin Cheng 1
Affiliation  

In the research of industrial robot design, designing using only the perceptual thinking and creativity of an industrial designer or overemphasizing the intervention of quantitative data research in the field of emotional cognition is relatively one sided. In this article, research on how to combine the above two aspects effectively will be conducted. The aim is to present a design method which provides artistic creativity and scientific support for industrial robot design. Therefore, a method for representing perceptual image spaces of industrial robots through pictures and semantics by evaluating the perceptual images and using statistical approaches such as factor analysis will be proposed. Perceptual design elements of industrial robots are decomposed from the perspective of style and color. After the quantitative type I analysis, the numerical relationships between the semantics of images and design elements are identified. Also, a method for mapping relationships between the perceptual image spaces and design elements of industrial robots is developed. After three-dimensional modeling and simulation, the semantic difference methods are used in combination with the emotional evaluation and measurement methods for physiological experiments such as eye tracking, skin conductance, heart rate, and electroencephalography experiments with the aid of virtual reality. Finally, a perceptual design method is extracted for smart industrial robots based on virtual reality and synchronous quantitative physiological signals.

中文翻译:

基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法

在工业机器人设计的研究中,仅仅利用工业设计师的感性思维和创造力进行设计,或者过分强调定量数据研究在情感认知领域的介入是相对片面的。本文将就如何有效地结合上述两个方面进行研究。旨在提出一种设计方法,为工业机器人设计提供艺术创意和科学支持。因此,将提出一种通过评估感知图像并使用因素分析等统计方法,通过图片和语义来表示工业机器人感知图像空间的方法。从款式和色彩的角度对工业机器人的感性设计元素进行分解。定量I型分析后,识别图像语义和设计元素之间的数字关系。此外,还开发了一种映射感知图像空间和工业机器人设计元素之间关系的方法。经过三维建模和仿真,语义差异方法结合情绪评估和测量方法用于眼动追踪、皮肤电导、心率、脑电图等生理实验,借助虚拟现实。最后,提出了一种基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法。开发了一种映射感知图像空间和工业机器人设计元素之间关系的方法。经过三维建模和仿真,语义差异方法结合情绪评估和测量方法用于眼动追踪、皮肤电导、心率、脑电图等生理实验,借助虚拟现实。最后,提出了一种基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法。开发了一种映射感知图像空间和工业机器人设计元素之间关系的方法。经过三维建模和仿真,语义差异方法结合情绪评估和测量方法用于眼动追踪、皮肤电导、心率、脑电图等生理实验,借助虚拟现实。最后,提出了一种基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法。借助虚拟现实进行皮肤电导、心率和脑电图实验。最后,提出了一种基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法。借助虚拟现实进行皮肤电导、心率和脑电图实验。最后,提出了一种基于虚拟现实和同步定量生理信号的智能工业机器人感知设计方法。
更新日期:2020-05-01
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