MRI: Development of a Highly Integrated Instrumentation Setup for Affective Sensing Research

该项目旨在开发一个高度集成和模块化的情感感知研究系统，旨在设计、开发、验证和传播一种可用于感知、记录和识别与人机交互(HCI)相关的情感变化信号的生理变化的仪器装置。将集成大量生物信号传感器，以开发具有响应用户自主神经系统状态(包括用户情绪和情感，以及与运动和健康相关的状态)的能力的人机交互。情感计算意味着计算机系统应该能够评估受试者的情感状态，即，基于对用户情感状态的生理表达的实时监控来执行情感感知。这一监测过程中的非侵入性/非侵入性测量最终会增强人机界面。在高度集成的感觉平台中，与情感转移相关的交感神经激活的生理表现可能揭示出不明显但相关的特征，当信号被孤立地观察时，这些特征可能被忽视。这项工作涉及五组实验：-用于情感感应的DSP，-眼睛凝视跟踪的实时测量，-运动和血量之间的关系分析，-EEG作为评估人机接口质量的方法，以及-自主神经系统监测作为评估人机接口的方法。广泛影响：这种情感感应系统可以作为评估平台，用于设计下一代人机接口，以改善残疾人的访问和功能能力。该仪器的开发将影响对未来专业人员和研究人员的培训和激励。这项工作有助于创建新的倡议，使学生进入一个服务于大量少数族裔学生的机构；从而加强了学生获得研究生学位的渠道。

This project, developing a highly integrated and modular system for affective sensing research, aims at designing, developing, verifying, and disseminating an instrumentation setup that can be used to sense, record, and identify physiological changes that signal affective shifts relevant to human-computer interaction (HCI). A large number of biological signal sensors will be integrated for the purpose of developing HCI with the ability to respond to the state of the user's autonomic nervous system (including user emotion and affect, and states related to exercise and health). Affective computing implies that a computer system should be able to assess the emotional state of the subject, i.e., perform affective sensing based on real-time monitoring of the physiological expression of the user's affective state. Non-invasive/unobtrusive measurements in this monitoring process ultimately yield enhancements in HCI. Physiological manifestations of sympathetic activation associated with affective shifts in a highly integrated sensory platform may reveal inconspicuous but relevant features that could be overlooked when the signals are observed in isolation. The work involves five sets of experiments:-DSP for affective sensing,-Real-time measurement of eye gaze tracking,-Analysis of the relationship between exercise and blood volume, -EEG as a way to assess the quality of HCI, and-Autonomic nervous system monitoring as a way to assess HCI.Broader Impact: This affective sensing system can be used as an evaluation platform toward the design of the next generation of human computer interfaces that would improve access and functional capabilities of persons with disabilities. The development of the instrument will impact the training and motivation of future professionals and researchers. This work contributes in the creation of new initiatives to engage students in an institution serving a large number of minority students; thus strengthening the student pipeline towards graduate degrees.