Emulated postural instability data

The research is related to classify postural instability with a machine learning model. The data have been emulated with a structure mounting an accelerometer and include 4 classes of postural instability: stable standing, antero-posterior instability, medio-lateral instability and general instability.

本研究围绕利用机器学习模型（machine learning model）对姿势不稳进行分类的任务展开。本次研究所用数据为通过搭载加速度传感器（accelerometer）的结构仿真生成，共涵盖四类姿势不稳场景：稳定站立、前后向姿势不稳、内外向姿势不稳以及通用型姿势不稳。