MRI: Acquisition of an Optical Motion Capture System for Human-Centered Computing Research

提案#：CNS09-23238PI(S)：盛伟华；程琦；李晓林；拉纳瓦德，纳扎纳研究所：俄克拉荷马州立大学斯蒂尔沃特，OK 74078-1011标题：磁共振/访问：获取用于以人为中心的计算研究的光学运动捕获系统项目建议：本项目获得光学运动捕获系统，支持无基础设施的人类上下文感知和基于上下文的人意图识别的研究。该系统依靠可穿戴式传感和计算设备来实现人类情境感知。这项研究旨在回答理解人与计算之间相互作用的核心问题，主要是通过嵌入式计算理解人类情境(例如，行为、位置)，以及探索人类情境知识以改进嵌入式计算应用。第一个研究项目调查了基础设施的发展-在GPS受限的环境中自由的人类情境感知。第二个研究利用人类背景知识来更好地理解人类的意图，并在人-机器人交互(HRI)的设置中解决这项研究。这两个项目都需要一个运动捕捉系统，该系统可以提供位置地面真实情况，允许进行性能比较，并促进系统校准。这项工作的目的是开发一个理论框架，以实现独立的人类情境感知，而不需要进行基础设施设置。(一些活动，如虚拟地标，预计将有助于室内人类本地化。)-在位置和活动的背景下发展明确的人类意图识别，推动人-机器人交互研究-导致更好地理解人与计算之间的交互、耦合关系。广泛的影响：工作影响可穿戴计算、人机交互(HCI)和普适计算研究。对已开发的硬件和软件进行修改可用于跟踪位置和监测急救人员的状态(活动和健康)，从而提高工作人员安全的效率。该系统提高了EPSCoR州俄克拉荷马州的研究能力。计划的教育和培训活动有助于帮助学生在嵌入式计算、无线通信、信号处理和人类行为方面做好准备。外展活动激发了未来的学生。将努力让美洲原住民和女学生参与进来。

Proposal #: CNS 09-23238PI(s): Sheng, Weihua; Cheng, Qi; Li, Xiaolin; Rahnavard, NazaninInstitution: Oklahoma State University Stillwater, OK 74078-1011Title: MRI/Acq.: Acq.of an Optical Motion Capture System for Human-Centered Computing ResearchProject Proposed:This project, acquiring an optical motion capture system, supports research for infrastructure-free human context awareness and context-based human intention recognition. The system relies on wearable sensing and computing devices to achieve human context awareness. The research aims to answer central questions in understanding the interplay between human and computing, mainly - Understanding human context (e.g., behavior, location) through embedded computing, and- Exploring the knowledge of human context to improve embedded computing applications.The first research project investigates the development of infrastructure ?free human context awareness in GPS-restricted environments. The second studies the use of the knowledge of human context to better understand human intentions and addresses the study in a human-robot interaction (HRI) setup. Both projects require a motion capture system that can provide location ground truth, allow performance comparison, and facilitate system calibration. The work aims to - Develop a theoretical framework to achieve a stand-alone human context awareness that requires zero infrastructure setup. (Some activities, such as 'virtual landmarks' are expected to contribute in indoor human localization.)- Develop explicit human intention recognition based in the context of both location and activity that pushes forward research in human-robot interaction - Lead to a better understanding of interactive, coupled relationship between human and computing.Broader Impacts: The work impacts wearable computing, human-computer interaction (HCI), and ubiquitous computing research. Modifications of the developed hardware and software might serve to track the locations and monitor the status (activity and health) of first responders, improving the efficiency of personnel safety in their operations. The system improves the research capabilities in Oklahoma, an EPSCoR state. Planned education and training activities contribute in preparing students in embedded computing, wireless communication, signal processing, and human behaviors. Outreach activities stimulate prospective students. Efforts will be made to involve Native American and female students.