Regulation of Brain Cognitive States through Auditory, Gustatory, and Olfactory Stimulation with Wearable Monitoring

Inspired by advances in wearable technologies, we design and perform human- subject experiments to investigate the impacts of applying safe actuation (i.e., auditory, gustatory, and olfactory) for the purpose of regulating the cognitive arousal state and enhancing the performance state. In two separate experiments, participants are instructed to engage in a working memory task known as the _n-back_ task. To modulate their brain state, we introduce various interventions, including listening to different genres of music in the first experiment, and consuming coffee and smelling perfume in the second experiment. Employing only wearable devices for human monitoring and using safe actuation intervention are the key components of the performed experiments. This dataset contains subjects' **correct/incorrect responses** along with their **reaction times**. In these experiments, we employed two Empatica wristbands and one muse headband to collect their physiological data. The data from Empatica contains participants ' **electrodermal activity (EDA)** , ** heart rate (HR)**, ** blood volume pulses (BVP)**, ** skin surface temperature**, ** Photoplethysmography (PPG), **and 3-axis **accelerometer data.** Using a muse headband, we also collected **Electroencephalography (EEG)** signals from four sensors. By creating a dataset that addresses the current lack of publicly available data for utilizing wearable devices and safe everyday stimuli to manage internal brain states, our research enables further investigations into machine learning and system identification. It eventually paves the way for smarter work environments in the future. The ultimate goal is to develop practical and automated personalized closed-loop systems that can effectively regulate internal brain states and enhance the overall quality of life.受可穿戴技术（wearable technologies）进步的启发，我们设计并开展了人体受试者实验，以探究应用安全刺激（safe actuation，即听觉、味觉与嗅觉刺激）对调节认知唤醒状态及提升作业表现状态的影响。在两项独立实验中，受试者需完成一项名为n-back任务的工作记忆任务。为调节受试者的大脑状态，我们引入了多种干预手段：第一项实验中为聆听不同流派的音乐，第二项实验中为饮用咖啡与嗅闻香水。仅依托可穿戴设备开展人体监测，并采用安全刺激干预手段，是本实验的核心设计要点。本数据集包含受试者的**正误作答结果**与**反应时数据**。本次实验共使用两台Empatica腕带（Empatica）与一台Muse头带（Muse）采集生理数据：Empatica腕带采集的数据包括受试者的**皮肤电活动（electrodermal activity, EDA）**、**心率（heart rate, HR）**、**血容量脉冲（blood volume pulses, BVP）**、皮肤表面温度、**光电容积描记法（Photoplethysmography, PPG）**及三轴**加速度计数据**；而Muse头带则通过四个传感器采集**脑电图（electroencephalography, EEG）**信号。针对当前利用可穿戴设备与日常安全刺激调节大脑内部状态的公开数据集缺失问题，本研究构建了该数据集，可为机器学习与系统辨识领域的后续研究提供支撑。本研究最终将为未来智能化工作环境的发展奠定基础，其终极目标是开发可有效调节大脑内部状态、提升整体生活质量的实用化自动化个性化闭环系统。