Task- and emotion-aware passive brain-computer interface for mental workload monitoring

用于心理负荷监测的任务和情绪感知被动脑机接口

• 批准号: RGPIN-2016-04210
• 负责人: Power, Sarah
• 金额: $ 2.26万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637033
• 关键词: Task; emotion; aware; passive; brain

Brain-computer interface (BCI) technologies have been traditionally defined as devices that enable movement-free communication through the direct measurement and translation of brain activity that is intentionally generated by the user for the purpose of controlling an external device. The target users of such “active” BCIs are generally individuals with severe motor impairments who are unable to operate more conventional interfaces (e.g., keyboards). Although this remains the focus of most BCI research, the potential of BCIs for healthy users has also been recognized and is receiving increased attention. The practical definition of BCIs is expanding to include not just those devices using brain activity to replace natural central nervous system (CNS) output in users with disability, but also those that enhance CNS output in healthy users. Rather than exploiting intentionally modulated brain activity, these so-called “passive BCIs” derive their outputs from arbitrary brain activity arising without the purpose of voluntary control, and are used instead for detecting the mental state (e.g., cognitive, affective) of the user. Passive BCIs have potential in many applications to enrich human–machine interaction by providing implicit information on the user’s state and adapting the environment accordingly. One application domain that has received particular attention is the monitoring of mental workload, particularly in safety-critical occupations like pilots, air-traffic controllers, and other industrial operators. The ultimate goal is to derive a continuous, objective estimation of the cognitive strain on the individual from physiological signal variables, so that appropriate action can be taken to reduce the potential for error during periods of extreme demand or overload. Mental workload detection also has potential value in other domains, including gaming, adaptive training, and user interface design applications, to enhance and personalize user experience.

脑机接口（BCI）技术传统上被定义为通过直接测量和翻译用户为了控制外部设备而有意产生的大脑活动来实现无移动通信的设备。 “活跃”BCI 通常是患有严重运动障碍的人，无法操作更传统的界面（例如键盘），尽管这仍然是大多数 BCI 研究的重点，但 BCI 对于健康用户的潜力也已得到认可，并且正在不断增加。注重实用。脑机接口的定义正在扩大，不仅包括那些使用大脑活动来替代残疾用户的自然中枢神经系统（CNS）输出的设备，还包括那些增强用户健康的中枢神经系统输出的设备，而不是利用有意调节的大脑活动。 - 所谓的“被动脑机接口”从没有自愿控制目的的任意大脑活动中获得输出，并用于检测用户的精神状态（例如认知、情感）。被动脑机接口在许多应用中具有潜力。通过提供有关用户状态的隐式信息并相应地适应环境来丰富人机交互，受到特别关注的一个应用领域是脑力负荷的监测，特别是在飞行员、空中交通管制员等安全关键职业中。最终目标是从生理信号变量中得出对个人认知压力的连续、客观的估计，以便可以采取适当的行动来减少在极端需求或超载操作员期间出现错误的可能性。在其他领域也具有潜在价值，包括游戏、自适应训练和用户界面设计应用程序，以增强和个性化用户体验。