基于FNIRS和腕部振动生物反馈的精神压力检测与绩效提升
Mental Stress Detection and Performance Enhancement Using FNIRS and Wrist Vibrator Biofeedback
AI总结：
本研究开发了一套结合FNIRS脑信号采集与腕部振动反馈的便携式实时系统，通过信号处理与分类技术检测压力，可帮助受试者降低55%压力、提升24.5%任务准确率，验证了奖励学习用于压力管理与绩效提升的有效性。
摘要：
任何人在日常活动中都会经历不同类型、不同程度的精神压力，这会对其表现产生破坏性影响。因此，提出一套系统化的压力管理与绩效提升方法至关重要。本文提出了一套全面的便携式实时生物反馈系统，旨在强化压力管理能力，进而实现绩效提升。为此，研究团队开发了实时脑信号采集设备、无线振动生物反馈装置，以及用于压力等级分类的软件定义程序。更重要的是，整个系统通过合理衔接所有核心组件，实现了最低时延的设计目标。针对在线压力检测应用，本文提出了多种信号处理与特征提取技术。经测试，系统的压力分类模块准确率达83%，真实精神压力等级检测的召回率达92%。此外，整套生物反馈系统已在受控实验环境下对20名参与者进行了测试。实验评估显示系统性能表现优异，结果表明该系统可帮助参与者降低55%的压力水平，同时将其任务准确率提升24.5%。从观测结果可得出结论：所有关于通过奖励学习实现压力管理与绩效提升的核心假设均成立。
英文摘要：
Any person in his/her daily life activities experiences different kinds and various amounts of mental stress which has a destructive effect on their performance. Therefore, it is crucial to come up with a systematic way of stress management and performance enhancement. This paper presents a comprehensive portable and real-time biofeedback system that aims at boosting stress management and consequently performance enhancement. For this purpose, a real-time brain signal acquisition device, a wireless vibration biofeedback device, and a software-defined program for stress level classification have been developed. More importantly, the entire system has been designed to present minimum time delay by propitiously bridging all the essential parts of the system together. We have presented different signal processing and feature extraction techniques for an online stress detection application. Accordingly, by testing the stress classification section of the system, an accuracy of 83% and a recall detecting the true mental stress level of 92% was achieved. Moreover, the biofeedback system as integrity has been tested on 20 participants in the controlled experimental setup. Experiment evaluations show promising results of system performances, and the findings reveal that our system is able to help the participants reduce their stress level by 55% and increase their accuracy by 24.5%. It can be concluded from the observations that all primary premises on stress management and performance enhancement through reward learning are valid as well.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
