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BRIGE: Optimization-Based Prediction of Seated Posture in Pregnant Women

BRIGE: Optimization-Based Prediction of Seated Posture in Pregnant Women
BRIGE:基于优化的孕妇坐姿预测
批准号:
0926549
负责人:
James Yang
金额:
$17.49万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2012-08-31

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中文摘要
翻译
项目摘要:本项目将调查孕妇的体型和体型变化对她们坐姿的影响。这些影响将通过开发一个数字人类环境来模拟。这个人体仿真环境的基础将是一个基于诱导优化的姿势预测模型。将开发一套简单的基于网络的模型,并将其与实验室实验练习相结合,用于为德克萨斯理工大学女性研究辅修专业设计的大一课程,目的是吸引女性学生学习工程学科。PI将与德克萨斯理工大学跨文化学术发展中心合作,在PI的实验室(以人为本的设计研究实验室)为美洲原住民夏季桥研究所(NASBI)开发一个夏季研讨会。在这个教育模块中,为期一周的暑期工作坊将从工程的角度关注基于计算机的数字人体建模和仿真,以吸引美国原住民攻读工程学位。智力优势:本研究旨在为研究孕妇的坐姿提供科学基础,并开发一种独特的基于优化的孕妇坐姿预测模型。数字人体建模和仿真已经彻底改变了新产品的设计、制造、操作和维护方式。预期的好处包括提高质量和减少产品开发时间和成本。在怀孕期间,女性的身体会经历重大的生理变化,这可能会影响她在车辆和工作场所的安全。有许多具有姿态预测功能的建模和仿真包,包括JACK, RAMSIS, SAFEWORK, anyone等。但是,没有一项措施考虑到孕妇的需要。此外,目前可用的软件包要么基于经验数据,要么基于模型几个自由度(DOF)。该项目将开发一种新的基于优化的模型,该模型具有以下显著优势:1)不需要预先录制的数据;2)人类模型可以对无限多个场景做出反应;3)计算效率高的方法允许实时操作;4)当使用大量的自由度时,不会影响操作速度;5)通过在优化问题中加入额外的约束,可以很容易地实现附加功能,例如避障、操纵多个末端执行器(脚、手和头)或规定不同身体部分的方向。该研究解决了以下问题:1)与怀孕相关的变化如何影响女性的坐姿;2)孕妇坐工作站时腰背部的生物力学负荷是多少?3)布局设计对孕妇有哪些风险;4)怎样的设计改进可以使坐姿更舒适?更广泛的影响:拟议的工作可能在广泛的领域产生影响,例如(i)病态肥胖的姿势建模;(ii)设计汽车/飞机内饰,以更好地照顾孕妇的需要;(三)修改孕妇常规工作站设计。该项目将通过开发创新课程和外展计划,使科学和工程对代表性不足的群体更具包容性。为了实现这一目标,一系列简单的基于网络的模型将通过基于实验的实验室练习来增强学生的课堂教学。这些模型将专门为得克萨斯理工大学女性研究辅修专业的学生设计,以吸引女性从事工程职业。PI的实验室将为德克萨斯理工大学的印第安人夏季桥研究所开发一个夏季讲习班,目标是印第安人高中生。德克萨斯理工大学于2008年开始了一年一度的NASBI。该项目邀请了大约40名美国原住民高中生和他们的父母参加活动,向他们介绍学术课程、校园活动、文化探索和大学生活。本次研讨会将展示数字人体建模和仿真的进步和优势。在此活动期间,将积极招募工程研究人员,并使研究小组充分参与。
英文摘要
0926549YangProject Summary: This project will investigate the effects of pregnant women's altered shape and size on their seated posture. The effects will be simulated by developing a digital human environment. The foundation of this human simulation environment will be an induced optimization-based posture prediction model. A suite of simple web-based models will be developed and combined with experimental laboratory exercises for use in a freshman course designed for the Women's Studies minor at Texas Tech University, with the goal of attracting women students to the engineering disciplines. The PI will collaborate with the Cross Cultural Academic Advancement Center, Texas Tech University to develop a summer workshop at the PI's lab (Human-Centric Design Research Laboratory) for the Native American Summer Bridge Institute (NASBI). The week-long summer workshop proposed in this education module will focus on computer-based digital human modeling and simulation from an engineering point of view in order to attract Native Americans to pursue degrees in engineering. Intellectual Merit: The proposed research seeks to provide a scientific foundation for investigating the seated posture of pregnant women and to develop a unique optimization-based model for the prediction of seated posture in pregnant women. Digital human modeling and simulation has revolutionized the way new products are designed, built, operated, and maintained. Expected benefits include improved quality and the reduction of product development time and costs. During pregnancy, a woman's body undergoes significant physical changes that can impact her safety in vehicles and workstations. There are a number of modeling and simulation packages including JACK, RAMSIS, SAFEWORK, ANYBODY, etc. with posture prediction capabilities. However, none of them has incorporated the needs of pregnant women. Moreover, currently available packages are either based on empirical data or model few degrees of freedom (DOF). This project will develop a new optimization-based model that yields significant advantages: 1) no prerecorded data is required; 2) the human model can react to infinitely many scenarios; 3) a computationally efficient approach permits real-time operation; 4) there is no penalty to the speed of operation when a large number of DOFs are used; and 5) added functionality, such as obstacle avoidance, manipulation of multiple end-effectors (feet, hands, and head), or stipulation of orientation for various body segments, is easily achieved by incorporating additional constraints in the optimization problem. The research addresses the following questions: 1) how do changes associated with pregnancy affect women's seated posture; 2) what are the low-back biomechanical loads for pregnant women sitting at a workstation; 3) what are the risks related to layout design for pregnant occupants; and 4) what design improvements can be made to permit comfortable posture? Broader Impacts: The proposed work has ramifications in a potentially broad range of areas, such as (i) modeling posture in the morbidly obese; (ii) designing automobile/airplane interiors to better accommodate the needs of pregnant women; and (iii) modifying regular workstation design for pregnant women. This project will create ways to make science and engineering more inclusive to underrepresented groups through the development of an innovative course and outreach program. To achieve this goal, a family of simple web-based models will augment students' classroom instruction by way of experiment-based laboratory exercises. These models will be intentionally designed for students in the Women's Studies minor at Texas Tech University in order to attract women to careers in engineering. A summer workshop will be developed in the PI's lab for the Native American Summer Bridge Institute at Texas Tech University targeting Native American high school students. Texas Tech University began its annual NASBI in 2008. The program invites about 40 Native American high school students and their parents to participate in activities that introduce them to academic courses, campus activities, cultural exploration, and college life. The proposed workshop will demonstrate advances and advantages of digital human modeling and simulation. Active recruitment to engineering studies will occur during this event with full participation of the research group.
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会议论文
Collaborative Research: Joint Space Muscle Fatigue Model and Integration into Full Body Motion Prediction for Repetitive Dynamic Tasks
  • 批准号:
    2014278
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.79万
  • 财政年份:
    2020
  • 负责人:
    James Yang
  • 依托单位:
Collaborative Research: Musculoskeletal Model for Dynamic Manual Material Handling to Prevent Injury
  • 批准号:
    1703093
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.09万
  • 财政年份:
    2017
  • 负责人:
    James Yang
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
  • 批准号:
    70601028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    7.0万元
  • 批准年份:
    2006
  • 负责人:
    王明征
  • 依托单位: