Training method and system of three-dimensional color block obstacle test based on wearable equipment

The invention relates to a training method of a three-dimensional color block obstacle test model based on wearable equipment. The method comprises the following steps: acquiring a multi-modal signalgenerated by a user in a three-dimensional color block obstacle test through the wearable equipment; preprocessing the multi-modal signal and dividing the multi-modal signal into a plurality of signalsegments; calibrating the multi-modal signal segments according to action types of the user; and training a neural network by utilizing the calibrated multi-modal signal segments. 本发明涉及一种基于可穿戴设备的立体色块障碍测试模型的训练方法，包括：通过可穿戴设备采集用户在立体色块障碍测试中产生的多模态信号；对所述多模态信号进行预处理并划分为多个信号片段；根据所述用户的动作类型标定所述多模态信号片段；利用所述标定后的多模态信号片段训练神经网络。