Building predictive models of joint loading using integrated motion capture and inertial measurement technologies.
Building predictive models of joint loading using integrated motion capture and inertial measurement technologies.
批准号:
RTI-2019-00169
负责人:
Ferber, Reed
金额:
$10.93万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
该提案的目的是要求新的最先进的设备,可以有效地支持当前NSERC可穿戴技术研究与合作(We-TRAC) CREATE培训计划。We-TRAC的主要研究目标之一是在实际数据收集过程中仅使用替代可穿戴惯性测量单元(IMU)传感器来预测关节和组织动力学。只有集成和同步的运动捕捉(MoCap)和IMU系统才能为We-TRAC HQP提供独特的机会,在实验室内外开发和验证实时和真实世界的无线IMU测量。******在实验室之外,We-TRAC HQP将收集奥运会和UofC校队和校内运动员在训练和比赛情况下的全年IMU数据。具体的实验计划包括体育运动任务,如但不限于篮球上篮、排球起跳落地、切割动作、上坡和下坡跑步机跑步,还涉及不同的地形(篮球场、草地、跑道)、速度和条件(步行、跑步、楼梯、跳跃)。这些实验将在实验室内外进行,以开发有效的组织和关节载荷替代模型。******然而,we - trac计划目前面临四个重大限制:(1)我们没有足够的IMU来支持数据收集目标,(2)我们目前的动作捕捉系统是由不同的制造商制造的,运动数据不兼容,(3)两个动作捕捉系统都过时了,处于失修状态,(4)我们目前的IMU和动作捕捉系统需要一个古老而麻烦的同步方法。此外,目前的Vicon和Motion Analysis MoCap摄像机都不能在实验室环境之外收集数据。******因此,我们获得新设备是至关重要的,以便在这些生物力学数据收集期间提供动作捕捉相机和IMU配置的灵活性,并支持NSERC we - trac CREATE培训计划。该设备将是加拿大最先进和唯一完全集成MoCap-IMU生物力学实验室。******请求的MoCap+IMU系统与HPL正在进行的研究兴趣完全一致,支持新授予的e- trac CREATE计划HQP,并直接与卡尔加里大学的“Eyes High”战略研究计划保持一致,该计划专注于“健康工程解决方案”。We-TRAC HQP将有独特的机会,在加拿大其他任何地方都没有,与领先的可穿戴传感器公司(如Fitbit, Garmin, Adidas等)进行1-4个月的实习。拟议的设备将有助于确保申请人和整个We-TRAC研究小组的持续成功和国际认可的研究,使下一代年轻科学家有机会提出新的和重要的NSE问题,并为他们未来的职业生涯提供竞争优势。**
英文摘要
The purpose of this proposal is to request new state-of-the-art equipment that can effectively support the current NSERC Wearable Technology Research and Collaboration (We-TRAC) CREATE training program. One of the primary We-TRAC research goals is to predict joint and tissue kinetics using only surrogate wearable inertial measurement unit (IMU) sensors during real-world data collections. Only an integrated and synchronized motion capture (MoCap) and IMU system will provide the We-TRAC HQP the unique opportunity to develop and validate real-time and real-world wireless IMU measurements in- and out-side of the laboratory. ******Outside of the laboratory, We-TRAC HQP will be collecting year-round IMU data from Olympic and UofC varsity and intramural athletes during practice and game situations. The specific experiments planned involve athletic movement tasks such as, but not limited to, basketball lay-ups, volleyball jump landings, cutting maneuvers, uphill and downhill treadmill running and also involving different terrains (basketball court, grass, running track), speeds, and conditions (walk vs run vs stairs vs jumping). These experiments will be conducted both in- and outside the laboratory in order to develop validated surrogate models of tissue and joint loading. ******However, the We-TRAC program currently faces four significant limitations: (1) we do not have enough IMUs to support the data collection goals, (2) our current MoCap systems are made by different manufacturers and the kinematic data are not compatible, (3) both MoCap systems are obsolete and in a state of disrepair, and (4) our current IMU and MoCap systems require an archaic and cumbersome synchronization method. Moreover, neither the current Vicon or Motion Analysis MoCap cameras can collect data outside the laboratory setting.******Thus, it is critical that we obtain new equipment in order to provide the flexibility in MoCap camera and IMU configuration during these biomechanical data collections and support the NSERC We-TRAC CREATE training program. This equipment will be the most advanced and the ONLY fully integrated MoCap-IMU biomechanics lab in Canada. ******The requested MoCap+IMU system aligns perfectly with ongoing research interests in the HPL, supports the newly awarded We-TRAC CREATE program HQP, and directly aligns with the University of Calgary's “Eyes High” Strategic Research Plan focused on “Engineering Solutions for Health”. We-TRAC HQP will have unique opportunities, not available anywhere else in Canada, for 1-4 month practicum placements with leading wearable sensor companies (i.e. Fitbit, Garmin, Adidas, etc). The proposed equipment will help to ensure the continued success and internationally-recognized research of the applicants and the entire We-TRAC research group, allowing the next generation of young scientists a chance to ask new and important NSE questions, and provide a competitive advantage for their future careers. **
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会议论文
Methods to improve the reliability of wearable sensor gait data.
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批准号:RGPIN-2019-04374
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项目类别:Discovery Grants Program - Individual
-
资助金额:$3.35万
-
财政年份:2022
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负责人:Ferber, Reed
-
依托单位:
NSERC CREATE for the Wearable Technology Research and Collaboration (We-TRAC) training program
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批准号:511166-2018
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项目类别:Collaborative Research and Training Experience
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资助金额:$22.66万
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财政年份:2021
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负责人:Ferber, Reed
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依托单位:
Methods to improve the reliability of wearable sensor gait data.
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批准号:RGPIN-2019-04374
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项目类别:Discovery Grants Program - Individual
-
资助金额:$3.35万
-
财政年份:2021
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负责人:Ferber, Reed
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依托单位:
NSERC CREATE for the Wearable Technology Research and Collaboration (We-TRAC) training program
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批准号:511166-2018
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项目类别:Collaborative Research and Training Experience
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资助金额:$22.12万
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财政年份:2020
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of wearable sensor gait data.
-
批准号:RGPIN-2019-04374
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$3.35万
-
财政年份:2020
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of wearable sensor gait data.
-
批准号:RGPIN-2019-04374
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$3.35万
-
财政年份:2019
-
负责人:Ferber, Reed
-
依托单位:
NSERC CREATE for the Wearable Technology Research and Collaboration (We-TRAC) training program
-
批准号:511166-2018
-
项目类别:Collaborative Research and Training Experience
-
资助金额:$18.95万
-
财政年份:2019
-
负责人:Ferber, Reed
-
依托单位:
NSERC CREATE for the Wearable Technology Research and Collaboration (We-TRAC) training program
-
批准号:511166-2018
-
项目类别:Collaborative Research and Training Experience
-
资助金额:$12.91万
-
财政年份:2018
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
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批准号:RGPIN-2014-04079
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.84万
-
财政年份:2018
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:RGPIN-2014-04079
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.84万
-
财政年份:2017
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负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
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批准号:462051-2014
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项目类别:Discovery Grants Program - Accelerator Supplements
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资助金额:$2.91万
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财政年份:2016
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负责人:Ferber, Reed
-
依托单位:
Methods to determine subject-specific movement gait patterns using wearable technology
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批准号:493875-2016
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项目类别:Idea to Innovation
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资助金额:$9.11万
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财政年份:2016
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负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:RGPIN-2014-04079
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.84万
-
财政年份:2016
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:462051-2014
-
项目类别:Discovery Grants Program - Accelerator Supplements
-
资助金额:$2.91万
-
财政年份:2015
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:RGPIN-2014-04079
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.84万
-
财政年份:2015
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:RGPIN-2014-04079
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.84万
-
财政年份:2014
-
负责人:Ferber, Reed
-
依托单位:
Methods to improve the reliability of biomechanical gait kinematic data.
-
批准号:462051-2014
-
项目类别:Discovery Grants Program - Accelerator Supplements
-
资助金额:$2.91万
-
财政年份:2014
-
负责人:Ferber, Reed
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依托单位:
海外基金