Acquisition of System for Multi-Site Networked Motion Capture and Visually Immersive Laboratory for Social and Behavioral Research

采购多站点网络运动捕捉系统和用于社会和行为研究的视觉沉浸式实验室

基本信息

  • 批准号:
    0521297
  • 负责人:
  • 金额:
    $ 16.08万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-08-01 至 2007-07-31
  • 项目状态:
    已结题

项目摘要

With the National Science Foundation's Major Research Instrumentation Award, Rensselaer Polytechnic Institute will acquire a 16-camera Vicon MX motion capture system that will track up to 40 motion points on a single person or object or 20 points on two interacting people/objects in real time. The resulting data provide the basis for capturing, analyzing, modeling, and reproducing very realistic motion of complex objects like humans and robots. The system will also include an animation workstation and software that will convert the motion points into animated objects that exhibit motion characteristic of the monitored target person or object, while modifying the external appearance of the person/object. The equipment will be installed in the Rensselaer Social and Behavioral Research Laboratory as part of 500 sq. ft. virtual reality studio. The resulting facility will be one of the very few academic installations capable of recording data involving human and moving object kinesics in this detail.The instrumentation will be used in a number of lines of research. A common theme among these research projects is the need for capturing rich data about human social and behavioral dynamics, with the intent of answering basic questions about how human beings use physical motion to understand their world and to communicate affective and cognitive states. This understanding is crucial to the development of better models of human-object and human-human interaction, and to the development of interface strategies to support next-generation systems for human-computer interaction. In addition to providing data addressing basic theoretical questions, the equipment will also foster the development of practical HCI applications, such as interfaces that better support social and physical interaction by using full body motion or by sensing and adapting to emotional states. It will also support development of diagnostic tools that foster the understanding of illnesses/syndromes that include various social dysfunctions. This equipment will facilitate partnerships between social scientists and engineers at Rensselaer Polytechnic Institute. These collaborations are increasingly necessary for a deeper understanding of fundamental human social and behavioral dynamics that can be incorporated into the development of new modes of engagement with technology, with the goal of encouraging more human-centered design of interfaces, agents, and robots.Projects that will make use of the equipment include a study of human perception and action in physical spaces, physical and social reasoning, kinesic elements of nonverbal communication and trust, effects of physical cues on collaboration effectiveness, combining the motivational power of games with physical exercise for health benefits, simulated dance performance as a form of math education, simulation of social interaction with robotics, and the development of ground truth for multiple robot motion studies. The instrumentation will also serve as an important educational resource, enabling Rensselaer to train the next generation of social scientists and engineers in the collection and analysis of dynamic social and behavioral data, and serving as a powerful recruitment tool for students interested in mastering these techniques and addressing questions that are best answered with the kinds of rich data collected with this kind of observational equipment.
凭借国家科学基金会的主要研究仪器奖,伦斯勒理工学院将获得一个16摄像头的Vicon MX运动捕捉系统,该系统将在真实的时间内跟踪单个人或物体的40个运动点或两个相互作用的人/物体的20个运动点。由此产生的数据为捕获、分析、建模和再现人类和机器人等复杂物体的非常逼真的运动提供了基础。该系统还将包括动画工作站和软件,该软件将运动点转换成动画对象,该动画对象展示被监视的目标人或对象的运动特性,同时修改人/对象的外观。这些设备将安装在伦斯勒社会和行为研究实验室,作为500平方米的一部分。英尺虚拟现实工作室由此产生的设施将是为数不多的学术设施之一,能够记录数据,涉及人类和移动物体的运动学在这个细节。仪器将被用于一些线的研究。这些研究项目的一个共同主题是需要捕获有关人类社会和行为动态的丰富数据,旨在回答有关人类如何使用物理运动来理解他们的世界并传达情感和认知状态的基本问题。这种理解对于开发更好的人-物和人-人交互模型以及开发支持下一代人机交互系统的界面策略至关重要。除了提供解决基本理论问题的数据外,该设备还将促进实际人机交互应用的开发,例如通过使用全身运动或通过感知和适应情绪状态来更好地支持社交和身体互动的界面。它还将支持开发诊断工具,以促进对包括各种社会功能障碍在内的疾病/综合征的了解。 该设备将促进伦斯勒理工学院社会科学家和工程师之间的伙伴关系。这些合作对于更深入地理解人类基本的社会和行为动力学越来越有必要,这些动力学可以被纳入与技术互动的新模式的开发中,其目标是鼓励更多以人为本的界面,代理和机器人设计。将使用该设备的项目包括研究人类在物理空间中的感知和行动,物理和社会推理,非语言沟通和信任的运动学元素,物理线索对协作有效性的影响,将游戏的激励力量与体育锻炼结合起来以促进健康,模拟舞蹈表演作为数学教育的一种形式,模拟机器人的社会互动,以及为多个机器人运动研究开发地面实况。 该仪器还将作为一个重要的教育资源,使伦斯勒能够培训下一代社会科学家和工程师收集和分析动态社会和行为数据,并作为一个强大的招聘工具,为学生有兴趣掌握这些技术和解决问题,最好的答案是各种丰富的数据收集与这种观测设备。

项目成果

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James Watt其他文献

Assessment of total, ligand-induced peroxisome proliferator activated receptor γ ligand activity in serum
  • DOI:
    10.1186/s12940-019-0486-2
  • 发表时间:
    2019-05-09
  • 期刊:
  • 影响因子:
    5.900
  • 作者:
    Lariah Edwards;James Watt;Thomas F. Webster;Jennifer J. Schlezinger
  • 通讯作者:
    Jennifer J. Schlezinger
How are older people’s care preferences documented towards the end of life?
如何记录老年人临终时的护理偏好?
  • DOI:
    10.1016/j.colegn.2019.09.008
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Sue Williams;Kerry Hwang;James Watt;F. Batchelor;Katrin Gerber;B. Hayes;Bianca Brijnath
  • 通讯作者:
    Bianca Brijnath
Food in the City: Community-Driven Agriculture across the United States
城市食品:美国各地社区驱动的农业
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    James Watt
  • 通讯作者:
    James Watt
The employment of the consumptive
  • DOI:
    10.1016/s0366-0850(26)80056-0
  • 发表时间:
    1926-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    James Watt
  • 通讯作者:
    James Watt
RNA-Seq-based transcriptional map of the bovine respiratory disease pathogen Histophilus somni 2336
基于 RNA-Seq 的牛呼吸道疾病病原体睡眠嗜组织菌 2336 的转录图谱
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    12.3
  • 作者:
    Ranjit Kumar;Mark L. Lawrence;James Watt;Amanda Cooksey;Shane C. Burgess;B. Nanduri
  • 通讯作者:
    B. Nanduri

James Watt的其他文献

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