Camera-based calibration and testing of inertial sensors in 3D joint kinematics estimation

3D 关节运动学估计中基于相机的惯性传感器校准和测试

• 批准号: 476555-2015
• 负责人: Li, Qingguo
• 金额: $ 0.73万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=578674
• 关键词: Camera; based; calibration; testing; inertial

Camera-based motion capture systems have been widely used for quantifying lower limb joint kinematics during different activities in a laboratory setting. However they are limited by its space requirement and high cost. In recent years, combinations of inertial and magnetic sensors have been introduced as an alternative, with the objective of performing gait analysis in a real life environment. However, there is no unified protocol for processing inertial sensor data which makes the comparison between systems/protocols difficult. HAS-Motion's primary product, Visual3D, is the premier 3D analysis toolkit for 3D biomechanics modeling, analysis, and reporting functions. Currently, Visual3D is capable to process data collected by camera-based motion capture systems, but not the inertial sensor data. HAS-Motion Inc has identified a need to enhance Visual3D's ability in analysing 3D kinematic data collected by inertial sensor-based system. The previous collaboration through an Engage Grant has made substantial progress and validated the usefulness of inertial sensors in estimating 3D joint kinematics using functional calibration protocols. This Engage Plus project is a direct extension of the Engage project. In the project, a stand-alone simple camera-based anatomical calibration protocol in Visual3DServer will be developed to process inertial sensor data and obtain anatomical poses for body segments. The results will be validated with a camera-based motion capture system. Another task is to further validate the methods developed in the Engage Grant with an instrumented treadmill during running tasks. This project will further enhance the collaboration between HAS-Motion and Queen's to develop a stand-alone inertial sensor system in Visual3D. Consequently, it will directly help to increase HAS-Motion's sale of Visual3D to the inertial sensor-based motion analysis users and directly benefit Canadian economy.

基于相机的运动捕捉系统已广泛用于量化下肢关节运动学 在实验室环境中的不同活动期间。然而，它们受到空间要求和高 成本。近年来，惯性传感器和磁传感器的组合被引入作为替代方案， 在现实生活环境中进行步态分析的目标。但目前还没有统一的协议 处理惯性传感器数据，这使得系统/协议之间的比较变得困难。 HAS-Motion 的主要产品 Visual3D 是用于 3D 生物力学建模的首要 3D 分析工具包， 分析和报告功能。目前，Visual3D能够处理基于相机收集的数据 运动捕捉系统，但不是惯性传感器数据。 HAS-Motion Inc 已确定需要增强 Visual3D 能够分析基于惯性传感器的系统收集的 3D 运动数据。上一个 通过参与补助金的合作取得了实质性进展并验证了惯性的有用性 传感器使用功能校准协议估计 3D 关节运动学。 此 Engage Plus 项目是 Engage 项目的直接扩展。项目中，一个独立的简单 将开发 Visual3DServer 中基于相机的解剖校准协议来处理惯性传感器 数据并获得身体部位的解剖姿势。结果将通过基于相机的运动进行验证 捕获系统。另一项任务是进一步验证参与资助中开发的方法 在跑步任务期间配备仪表跑步机。 该项目将进一步加强 HAS-Motion 和女王大学之间的合作，开发独立的 Visual3D 中的惯性传感器系统。因此，这将直接有助于增加 HAS-Motion 的销售额 Visual3D给基于惯性传感器的运动分析用户带来了好处，并直接使加拿大经济受益。