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A Pilot Study on a Multimodal Wearable System by Applying a Two-Chain Biomechanical Model in the Alpine Ski Slalom

机译:通过在高山滑雪障碍中应用双链生物力学模型的多峰可穿戴系统的试验研究

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Thanks to the miniaturization and flexibility of various sensors, wearables have been broadly applied in many areas, such as sports science, medical informatics, rehabilitation, etc. Researchers are eager to deeply exploit the potential of the wearable sensors and fuse multimodal information, which can actually put theory into practice. However, the integration is usually tough in terms of application. The current challenge is how to find the balance between providing abundant biofeedback and reducing the number of sensors (i.e., avoiding movement constraints). In this paper, we propose to develop a multimodal wearable system that can monitor and acquire multi-source signals in real-time for the alpine skiers; and also, we plan to build a platform where the multimodal information will be fused for further analysis of their performance in the alpine ski slalom. The proposed system will be designed and developed based on a two-chain biomechanical model to reach the balance and provide an optimal solution by using only six IMUs. This paper mainly focuses on exploring the detailed usage of the two-chain biomechanical model and introducing the architecture of the real-time multimodal wearable system. By performing a preliminary experiment, it has been demonstrated that multiple IMUs can work simultaneously in the same coordinate system with high consistency. The Pearson correlation coefficient and the Bland-Altman plot were generated as the validation and support.
机译:由于各种传感器的小型化和灵活性,可穿戴物在许多领域广泛应用,如体育科学,医学信息学,康复等。研究人员渴望深深利用可穿戴传感器和保险丝多模峰信息的潜力实际上把理论放在实践中。但是,在应用方面,整合通常是艰难的。目前的挑战是如何在提供丰富的生物反馈和减少传感器的数量之间找到平衡(即,避免运动约束)。在本文中,我们建议开发一种多峰可穿戴系统,可以实时监控和获取高源信号的高山滑雪者;此外,我们计划建立一个平台,其中多式联运信息将被融合,以进一步分析他们在高山滑雪障碍骨架中的性能。建议的系统将基于双链生物力学模型设计和开发,以实现平衡,并通过仅使用六个IMU提供最佳解决方案。本文主要侧重于探索双链生物力学模型的详细用途,并引入实时多式联耐磨系统的架构。通过执行初步实验,已经证明了多个IMU可以在具有高一致性的相同坐标系中同时工作。 Pearson相关系数和Bland-Altman Plot被生成为验证和支持。

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