Hochschule Bonn-Rhein Sieg, Institute of Visual Computing, 53757 Sankt Augustin, Germany.
Gokhale Method Institute, Stanford, CA 94305, USA.
Sensors (Basel). 2019 Aug 20;19(16):3625. doi: 10.3390/s19163625.
Lower back pain is one of the most prevalent diseases in Western societies. A large percentage of European and American populations suffer from back pain at some point in their lives. One successful approach to address lower back pain is postural training, which can be supported by wearable devices, providing real-time feedback about the user's posture. In this work, we analyze the changes in posture induced by postural training. To this end, we compare snapshots before and after training, as measured by the Gokhale ™. Considering pairs of before and after snapshots in different positions (standing, sitting, and bending), we introduce a feature space, that allows for unsupervised clustering. We show that resulting clusters represent certain groups of postural changes, which are meaningful to professional posture trainers.
下背痛是西方社会最常见的疾病之一。很大比例的欧洲和美洲人口在其一生中的某个时候都遭受过下背痛。一种成功的治疗下背痛的方法是姿势训练，可以通过可穿戴设备来支持，为用户的姿势提供实时反馈。在这项工作中，我们分析了姿势训练引起的姿势变化。为此，我们通过 Gokhale ™比较了训练前后的快照。考虑到不同位置（站立、坐下和弯曲）的前后快照对，我们引入了一个特征空间，允许无监督聚类。我们表明，产生的聚类代表了某些姿势变化的群组，这些群组对专业的姿势训练师有意义。
