Synthetic Hand Gesture Datasets - Digits and ASL

The ability to train a robot to recognize human gestures is critical in enabling close proximity to Human-Robot Interaction (HRI). To that end, generating the appropriate dataset for the corresponding Machine Learning (ML) algorithm is essential. In this work, we introduced new datasets for hand gesture recognition. Given the complexity of generating thousands of physical hand gestures, we started with the basic hand gestures and developed additional synthetic gestures thus creating a comprehensive set.

训练机器人识别人类手势的能力对于实现近距离人机交互（HRI）至关重要。为此，为相应的机器学习（ML）算法生成适当的数据集显得尤为关键。在本研究中，我们引入了新的手部手势识别数据集。鉴于生成数千个物理手部手势的复杂性，我们首先从基础手部手势入手，进而开发出额外的合成手势，从而构建了一个全面的数据集。