QUANTIFYING INDEPENDENCE OF NORMAL HUMAN FINGER MOVEMENTS

量化人类正常手指运动的独立性

• 批准号: 6339399
• 负责人: MARC H SCHIEBER
• 金额: $ 3.01万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2001-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6339399
• 关键词: bioengineering /biomedical engineering; biomedical resource; cognition; computers; eye; informatics; mental disorders; nervous system; psychology; skeletal system

Theories of spatial memory have stressed egocentric references frames as a central repository. In contrast our work using filter responses such as those found in cortical cells suggests an different way of storing spatial targets. Targets are stored by their features and the location of these features in the image can be quickly recovered regardless of changes in gaze as long as they remain visible. This concept has so far only been tested on static images that are processed off-line. Our plan is to definitively test of this scheme by implementing it on our robot simulator. This would test the feasibility of the mechanism working on time-varying imagery that is subject to blur and variations in scale. The initial emphasis of our gaze control research will be to integrate several different fixation methods. Our first effort will be to integrate accommodation and vergence camera movements. Currently the vergence circuit alone requires almost all of our available video processing resources. The proposed expansion would allow concurrent processing of several different visual functions.

空间记忆理论强调自我中心参考 框架作为中央存储库。 相比之下我们的工作使用过滤器 诸如在皮质细胞中发现的反应表明了不同的反应 存储空间目标的方式。 目标按其特征存储 并且可以快速定位这些特征在图像中的位置 无论目光如何变化，只要它们仍然存在，就会恢复 可见的。 到目前为止，这个概念仅在静态图像上进行了测试 是离线处理的。 我们的计划是最终测试这一点 通过在我们的机器人模拟器上实施该方案。 这将测试 处理时变图像的机制的可行性 可能会出现模糊和比例变化。 我们最初强调的 凝视控制研究将整合几种不同的注视 方法。 我们的首要工作是将住宿和 聚散相机运动。 目前仅聚散电路 需要我们几乎所有可用的视频处理资源。 这 拟议的扩展将允许同时处理多个 不同的视觉功能。