HCMYO-A Dataset

This dataset contains data for use in handwritten character recognition from sEMG. It contains recordings from 3 healthy subjects perforrming handwriting activity on a touchscreen. The recording device is a Thalmic Labs Myo armband device with eight dry electrodes and sampling frequency of 200 Hz. Each user typed a letter (a-z) or a digit (0-9) on a GUI, then started the capture process by clicking on a button, performed handwriting activity using the index finger or a stylus pen, and finally stopped the capture by clicking on a button. Each user wrote 1,000 times each character class, the number of classes was 36. In total, the dataset contains 108,000 recordings. Each recording comprises two files: one file containing sEMG data and one file containing handwriting trajectory. Each file also contains the stroke number at each instant of the trace. Handwriting trajectory data may be useful for visualization or research on handwriting trajectory reconstruction from EMG.本数据集专为基于表面肌电信号（surface electromyography, sEMG）的手写字符识别任务构建，包含相关实验采集数据。数据来源于3名健康受试者在触摸屏上完成手写动作时的记录。采集设备为Thalmic Labs公司推出的Myo臂环，该设备搭载8个干性电极，采样频率为200 Hz。每位受试者需在图形用户界面（Graphical User Interface, GUI）上依次选取字母a-z与数字0-9，随后点击按钮启动采集流程，通过食指或触控笔完成对应字符的手写动作，最终再次点击按钮终止采集。每位受试者针对每一类字符完成1000次手写采样，共涵盖36类字符，数据集总采集记录量达108000条。每条采集记录包含两个文件：其一存储sEMG信号数据，其二存储手写轨迹数据；两类文件均记录了笔迹轨迹每一时刻对应的笔画编号。手写轨迹数据可用于可视化研究，或基于肌电信号的手写轨迹重建相关研究。