GrabMyo

GrabMyo数据集是由滑铁卢大学创建的，专注于表面肌电图（EMG）的多日记录数据集。该数据集包含43名参与者在三天内执行静态手/腕姿势时的EMG数据，共计129个记录会话。数据集不仅支持EMG生物识别研究，还为EMG基础的手势识别研究提供了宝贵的资源，特别是在提高算法在多日场景下的鲁棒性方面。此外，数据集包含两种电极位置：前臂和手腕，这有助于工业级可穿戴腕带和手环的研发，用于生物识别认证和手势识别应用。

The GrabMyo dataset, developed by the University of Waterloo, is a multi-day recording dataset focused on surface electromyography (EMG). It contains EMG data collected from 43 participants while they performed static hand and wrist postures across three days, totaling 129 recording sessions. The dataset not only supports EMG-based biometric research but also provides valuable resources for EMG-based gesture recognition studies, particularly for enhancing the robustness of algorithms in multi-day scenarios. Additionally, the dataset includes two electrode placement positions: the forearm and the wrist, which facilitates the research and development of industrial-grade wearable wristbands and smart bracelets for applications such as biometric authentication and gesture recognition.