Hand Gesture Data

The dataset was generated through the execution of a Python script designed to collect a comprehensive set of data samples from six different sensors for each specific gesture. Upon launching the script, users are prompted to initiate gesture 0, Once ready, users can commence recording, with the program automatically capturing 1000 samples for that particular gesture. Subsequently, the program prompts users to perform gesture 1, and this process repeats until data for all gestures is collected. At the conclusion of the program, a CSV file is generated, containing 10,000 rows and 36 columns, along with an additional target column that designates the corresponding gesture for each row of data. This method ensures a systematic and standardized approach to collecting data, allowing for a comprehensive dataset that encompasses a wide range of gestures and sensor measurements. The resulting CSV file serves as a reliable and valuable resource for further analysis and research in the field.本数据集通过执行一段Python脚本生成，该脚本旨在针对每一类特定手势采集六类不同传感器的完整数据样本。启动脚本后，系统会提示用户执行手势0；待用户准备就绪后即可开始录制，程序将自动为该类手势采集1000条数据样本。随后程序将提示用户执行手势1，该流程循环往复，直至完成所有手势的数据采集。程序运行结束后，将生成一个CSV文件，该文件包含10000行数据与36列特征，额外附带一列目标标签，用于标注每一行数据对应的手势类别。该采集方法确保了数据收集流程的系统性与标准化，可得到覆盖多样手势类型与多传感器维度的全面数据集。生成的CSV文件可作为该领域后续分析与研究的可靠且极具价值的研究资源。