面向智能交互产品的动态人因数据集

该数据集主要面向智能交互产品领域研究和多模态人因数据库建设需求，基于实验室模拟环境产生。数据主要采集自生理信号采集设备。呈现方式主要包括，脑电、心电、皮电、眼动、面部表情和动态捕捉等。主要记录了11组动态人因数据包括（触摸屏手势的肌电数据；商用可穿戴设备引导呼吸练习的心电和呼吸数据；注意偏差修正任务引导前后情绪图片自由观看的眼动数据；助眠音乐干预后注意偏差修正的脑电数据；床上静躺的心电和呼吸数据；基于情绪识别和眼动追踪的游戏用户体验评估数据；微学习视角下移动端健康教育用户体验数据；虚拟现实下基于脑电信号的光舒适度与工作表现评价数据；挖掘机人机交互机手多任务操作脑电数据、眼动数据和动补数据）。该数据集数据量为5.2万条，共20.24GB。This dataset is developed to support research in the field of intelligent interactive products and the construction of multimodal human factors databases, and is generated within a laboratory simulation environment. The majority of its data is collected from physiological signal acquisition devices, including electroencephalogram (EEG), electrocardiogram (ECG), skin conductance (EDA), eye movement, facial expression, and motion capture data. It records 11 sets of dynamic human factors data, specifically: electromyography (EMG) data of touchscreen gestures; ECG and respiratory data collected during breathing exercises guided by commercial wearable devices; eye movement data obtained when participants freely view emotional images before and after completing an attention bias modification task; EEG data measuring attention bias modification following sleep-aid music intervention; ECG and respiratory data collected during quiet lying in bed; user experience evaluation data for games based on emotion recognition and eye tracking; user experience data of mobile health education from the micro-learning perspective; evaluation data of light comfort and work performance based on EEG signals in virtual reality environments; and EEG, eye movement, and motion capture data collected during multi-task operations of excavator human-computer interaction manipulators. In total, this dataset contains 52,000 entries with a total size of 20.24 GB.

搜集汇总

背景与挑战

背景概述

该数据集面向智能交互产品研究和多模态人因数据库建设，在实验室模拟环境中通过生理信号采集设备获取数据，涵盖脑电、心电、眼动等多种模态。它包含11组动态人因数据，如触摸屏手势肌电和虚拟现实脑电信号，总计5.2万条数据，大小为20.24GB。