A neural network to predict the knee adduction moment with anatomical landmarks

The dataset to train a neural network to predict the knee adduction moment using the positions of anatomical landmarks only. Download this dataset and train models in the following github repository: https://github.com/stanfordnmbl/predictKAMDetails about the dataset on github as well as in Boswell and Uhlrich, et al., 2021. <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=2052#pack_2228">Dataset for paper </a> : Dataset for training models in https://github.com/stanfordnmbl/predictKAM repository </li> </ul>

本数据集旨在训练神经网络，仅利用解剖标志点的位置预测膝关节内收力矩。请下载此数据集，并在以下 GitHub 仓库中训练模型：https://github.com/stanfordnmbl/predictKAM。数据集的详细信息可在 GitHub 以及 Boswell 和 Uhlrich 等人于 2021 年发表的文献中查阅。本工程项目包含以下软件/数据包：

<ul>
<li><a href="https://simtk.org/frs?group_id=2052#pack_2228">论文数据集</a>：位于 https://github.com/stanfordnmbl/predictKAM 仓库中的用于训练模型的数据库</li>
</ul>