Leap Motion ASL and BSL Sign Language Recognition

### Context

This dataset is gathered from the Leap Motion controller for Sign Language Recognition. There is a set of gestures for British Sign Language and the same set for American Sign Language (albeit smaller)

### Content

Please see column headers for the feature recorded during each 0.2s frame

More detailed information is found in the paper linked below, where we describe the whole data collection and processing activities.

### Acknowledgements

This dataset was created for the following research project:

Bird, J. J., Ekárt, A., & Faria, D. R. (2020). British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language. Sensors, 20(18), 5151.

https://www.mdpi.com/1424-8220/20/18/5151

### Inspiration
What methods are best for sign language recognition?

Notice that the BSL dataset is much larger than the ASL dataset. Can you perform transfer learning between the datasets, is there useful knowledge between the two languages?

本数据集源自Leap Motion控制器，旨在用于手语识别。其中包含一套英国手语和同等规模的美国手语手势（尽管规模较小）。具体在每一0.2秒帧内记录的特征请参考列标题。更多详细信息可在以下链接中找到，其中我们详细描述了整个数据收集和处理过程。

### 致谢

本数据集的创作是为了以下研究项目：
Bird, J. J., Ekárt, A., & Faria, D. R. (2020). 通过计算机视觉和Leap Motion的晚期融合，以及迁移学习应用于美国手语，实现英国手语识别。Sensors, 20(18), 5151。

https://www.mdpi.com/1424-8220/20/18/5151

### 灵感

在手语识别方面，哪些方法是最佳的？
请注意，BSL数据集的规模远大于ASL数据集。你能否在这两个数据集之间进行迁移学习，两种语言之间是否存在有价值的知识？