Can Pressure Data from Wearable Insole Devices Be Utilized to Estimate Low Back Moments for Exoskeleton Control System?

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
S. Chae, Ahnryul Choi, Jeehae Kang, J. Mun
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引用次数: 0

Abstract

This study presents a machine learning model for predicting lumbar spine moments using data from low-cost sensors, with the ultimate aim of developing a control strategy for waist-active exoskeleton devices. The limitation of sparse features in low-cost insoles was addressed by leveraging a source model constructed based on data acquired from the high-precision Pedar-X device, employing a transfer learning technique. The model’s performance saw significant improvement through a training approach that incorporated high-precision commercial insole data and fine-tuning with low-cost insole data. In comparison to the conventional model, this method resulted in a noteworthy 7% enhancement in performance, achieving an rRMSE of approximately 12% and a correlation coefficient of 0.9 in lumbar joint moment prediction. If the model can demonstrate real-time efficacy and effectiveness across various operations in future applications, it holds substantial potential for deployment as an active exoskeleton device for the waist.
能否利用可穿戴鞋垫设备的压力数据来估算外骨骼控制系统的腰背力矩?
本研究介绍了一种利用低成本传感器数据预测腰椎力矩的机器学习模型,其最终目的是为腰部活动外骨骼设备开发一种控制策略。低成本鞋垫特征稀疏的局限性是通过利用基于从高精度 Pedar-X 设备获取的数据构建的源模型,并采用迁移学习技术来解决的。通过结合高精度商用鞋垫数据和低成本鞋垫数据进行微调的训练方法,该模型的性能有了显著提高。与传统模型相比,该方法显著提高了 7% 的性能,在腰椎关节力矩预测方面实现了约 12% 的 rRMSE 和 0.9 的相关系数。如果该模型能在未来的应用中证明其在各种操作中的实时有效性和有效性,那么它在作为腰部主动外骨骼设备部署方面具有很大的潜力。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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