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

基本信息

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

项目摘要

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.

基于摄像机的运动捕获系统已被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中。但是，它们受到其空间要求的限制，并且很高成本。近年来，已引入了惯性和磁传感器的组合，作为替代方案在现实生活环境中进行步态分析的目的。但是，没有统一协议处理惯性传感器数据，使系统/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。当前，Visual3D能够处理基于相机的数据收集的数据运动捕获系统，但不是惯性传感器数据。 Has-Motion Inc已确定需要增强 Visual3d分析基于惯性传感器系统收集的3D运动学数据的能力。上一个通过参与赠款的合作取得了重大进展，并验证了惯性的实用性使用功能校准方案估算3D关节运动学的传感器。该参与项目是参与项目的直接扩展。在项目中，独立的简单将开发基于摄像机的解剖校准协议，以处理惯性传感器数据并获得身体段的解剖姿势。结果将通过基于摄像机的运动进行验证捕获系统。另一个任务是进一步验证参与赠款中开发的方法在运行任务期间仪器跑步机。该项目将进一步增强Host-Motion和Queen之间的合作，以开发独立 Visual3d中的惯性传感器系统。因此，它将直接有助于增加Hastion的出售 Visual3D对基于惯性传感器的运动分析用户并直接受益于加拿大经济。