数据链接：
官方服务：
资源简介：
IMU and EEG data During Blended Control of Scale Vehicles
应用场景：
创建时间：
2022-06-02
相关数据集
Data from: Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
Brain-computer interface (BCI) technologies aim to provide a bridge between the human brain and external devices. Prior research using non-invasive BCI to control virtual objects, such as computer cur
DataONE2016-12-16 更新80
Upper limb movements can be decoded from the time-domain of low-frequency EEG
How neural correlates of movements are represented in the human brain is of ongoing interest and has been researched with invasive and non-invasive methods. In this study, we analyzed the encoding of
NIAID Data Ecosystem60
Brain-Computer Gaming Control through Imagined Speech Commands Dataset
Twenty-six healthy right-handed volunteers (19 males and 7 females, aged 20.1 ± 1.09, range 18–24) participated in the experiment. All participants were right-handed, native Spanish speakers from Mexi
Mendeley Data30
GIB-UVa ERP-BCI dataset
This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset
DataCite Commons2020-12-06 更新70
MAMEM Phase I Dataset - A dataset for multimodal human-computer interaction using biosignals and eye tracking information
This dataset combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to
Figshare2017-07-26 更新40
