Instrumentation Grant for Research in CISE: Telecommunications in Virtual and Real Environments

CISE 研究仪器资助：虚拟和真实环境中的电信

• 批准号: 9422123
• 负责人: Richard Volz
• 金额: $ 10.12万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-05-01 至 1996-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9422123&HistoricalAwards=false
• 关键词: Instrumentation; Grant; Research; CISE; Telecommunications

9422123 Volz This award is to purchase equipment to support research in distributed real and virtual environments, including: 1) Attentive Model for Video Telecommunication -- A framework for video analysis utilizing visual attention theory and eye movements is expected to yield high compression ratios; 2) Attention-Based Graphical Display of Complex Virtual Environments -- An attentive display-time compression strategy will be developed, which tracks the viewer's eyes and matches the imagery to the perceptual limitations of the human visual system; 3) Intelligent Control in a Telerobotic Network Using Predictive Simulated Reality -- To counteract problems over long distances, predictive simulation and intelligent control are planned, in which the operator enters a virtual world corresponding to the real world; 4) Developing a General Framework for Natural and Precise Gestural Manipulations -- A logical hand device to support precise and natural hand manipulations in virtual environments, e.g., a general framework to compose and manipulate 3-dimensional widgets and a sub-gesture alphabet to tokenize American Sign Language are presently being developed; 5) Rehabilatory Head Mounted Display Applications for the Physically Challenged -- Virtual Reality technology are used to aide in the diagnosis and monitoring of subjects participating in physical rehabilitation and training programs, through the use of body tracking devices and Augmented Reality displays. ***

9422123 Volz该奖项旨在购买支持分布式真实和虚拟环境研究的设备，包括：1)视频通信的注意力模型--一种利用视觉注意力理论和眼球运动进行视频分析的框架，预计将产生高压缩比；2)复杂虚拟环境的基于注意力的图形显示--将开发一种注意力显示时间压缩策略，它跟踪观看者的眼睛，使图像与人类视觉系统的感知限制相匹配；3)使用预测模拟现实的远程机器人网络中的智能控制--为了对抗远距离问题，计划了预测模拟和智能控制，其中操作员进入与真实世界对应的虚拟世界；4)开发自然和精确手势操作的通用框架--支持虚拟环境中精确和自然手势操作的逻辑手设备，例如，目前正在开发组成和操作3维部件的通用框架和用于标记化美国手语的子手势字母表；5)面向残障人士的康复头盔显示器应用--通过使用身体跟踪设备和增强现实显示器，虚拟现实技术被用来帮助诊断和监测参与身体康复和训练计划的受试者。***