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 在实验室环境中进行不同的活动。然而，它们受到其空间要求和高度的限制。 成本近年来，已经引入了惯性传感器和磁传感器的组合作为替代， 目的是在真实的生活环境中进行步态分析。然而，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Visual 3D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，Visual 3D能够处理基于摄像头的 动作捕捉系统，但不是惯性传感器数据。HAS-Motion Inc已确定需要增强 Visual 3D分析基于惯性传感器的系统收集的3D运动数据的能力。前一 通过一项“参与赠款”进行的合作已经取得了实质性进展，并验证了惯性导航系统的有效性 传感器使用功能校准协议估计3D关节运动学。 这个Engage Plus项目是Engage项目的直接延伸。在项目中，一个独立的简单 将在Visual 3DServer中开发基于相机的解剖校准协议，以处理惯性传感器 数据并获得身体部分的解剖姿势。结果将通过基于摄像机的运动进行验证 捕获系统另一项任务是进一步验证参与补助金中开发的方法 在跑步任务中使用仪器跑步机。 该项目将进一步加强HAS-Motion和Queen's之间的合作， Visual 3D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， Visual 3D给基于惯性传感器的运动分析用户和加拿大经济带来直接好处。