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Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset))

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IEEE2019-12-05 更新2026-04-17 收录
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https://ieee-dataport.org/open-access/brain-signals-and-corresponding-hand-movement-signals-dataset-bs-hms-dataset
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BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY smartwatch's motions sensors. The users wore the smartwatch based on their personal preference of left or right hand. Emotiv based Dataset - Emotiv based dataset consists of EEG data recordings from Emotiv Epoc+ headset and the corresponding hand movements from both the hands of the user. The hand movement data was recorded using two SONY smartwatches which users wore in their hands, one in each hand. Both the datasets, Neurosky based Dataset and Emotiv based Dataset, were collected in two different sessions with an average gap of 6-7 days among the sessions. In each session the volunteer participants performed four different activities; (1) watching a happy video, (2) typing their response to the questions about the story in the watched happy video, (3) watching a sad video, and (4) typing their response to the questions about the story in the watched sad video. The users took a gap of ~5 minutes for rest between the different activities. The data was recorded separately for each activity. A more deatailed description of the data is given in BS-HMS-Dataset-README.pdf file.

BS-HMS-Dataset 是面向大量志愿者受试者的脑电波信号与对应手部运动信号的数据集。该数据集包含两个子部分:(1) 基于Neurosky的数据集(2016年耗时数月采集自32名志愿者受试者);(2) 基于Emotiv的数据集(2019年耗时数月采集)。基于Neurosky的数据集:该数据集包含通过Neurosky头戴设备采集的脑电图(Electroencephalogram, EEG)数据,以及通过SONY智能手表运动传感器采集的对应手部运动数据。受试者可根据个人偏好选择左手或右手佩戴该智能手表。基于Emotiv的数据集:该数据集包含通过Emotiv Epoc+头戴设备采集的脑电图数据,以及受试者双手的对应手部运动数据。手部运动数据通过两只SONY智能手表采集,受试者分别在双手各佩戴一只。上述两类数据集均通过两次独立的测试时段采集,两次时段间的平均间隔为6至7天。在每个测试时段中,志愿者受试者需完成四项不同任务:(1) 观看愉悦视频;(2) 针对所观看愉悦视频的剧情问题键入回复;(3) 观看伤感视频;(4) 针对所观看伤感视频的剧情问题键入回复。各项任务之间,受试者需休息约5分钟。所有数据均按每项任务单独采集。该数据集的更详细的说明请参见BS-HMS-Dataset-README.pdf文件。
提供机构:
University of Wyoming; University at Buffalo, SUNY; Syracuse University; Institute for Infocomm Research
创建时间:
2019-12-05
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