MII: Hardware-Software Integration for the Design of Real-Time Prototypes Merging Assistive Technologies to Neuroscience

该项目正在建设一个现代化的基础设施，以支持跨学科研究，并作为应用信息处理，神经科学和辅助技术研究领域的学生培训的催化剂。 通过合并这些领域，为（1）开发旨在有效应对普遍可及性问题的新方法奠定了基础，（2）建立研究策略，以满足神经科学的迫切需求，因为功能映射和关键脑疾病的因果关系正在发展。 该基础设施包括一个高性能的计算集群与一个积极的显示壁画，磁链接整合脑电图磁共振成像，光学地形系统的近红外光谱，和眼睛注视跟踪系统。 该基础设施扩展了佛罗里达国际大学（FIU）的研究能力，并实现了神经科学和辅助技术的长期改进。 该基础设施的设想是为研究人员提供一个有利于学科间交叉培训的环境，并得到实验评估和可行性研究的支持，从原型设计转向实用领域。 新的机会是有可能巩固一个联合金融情报机构迈阿密儿童医院神经科学方案值得全国区别。 在辅助技术研究中，一个主要目标是设计下一代人机界面，这些界面是多模态的和自适应的，作为实时辅助系统，扩展运动和视觉残疾人的功能能力。 在教育方面，新的课程计划，工程师，计算机科学家，神经科学家和放射科医生共同努力，为学生的教学和培训提供综合方法。 此外，该项目还加强了金融情报室招聘优秀博士的外联方案。学生 与此同时，还持续承诺在与CISE有关的学科中招聘和留住代表性不足的少数群体。

This project is constructing a modern infrastructure to support cross-disciplinary research and to serve as a catalyst for student training in the fields of applied information processing, neuroscience, and assistive technology research. By merging these fields, a foundation is set for (1) developing new methodologies destined to respond effectively to the issue of universal accessibility, and (2) establishing research strategies to meet impending needs in neuroscience as functional mappings and causality of key brain disorders are developed. The infrastructure includes a high performance computational cluster with an active display mural, a magnetic link for integrating electroencephalography to magnetic resonance imagery, an optical topography system for near-infrared spectroscopy, and an eye-gaze tracking system. The infrastructure extends the research capabilities of Florida International University (FIU) and enables long-range improvements in neuroscience and assistive technology. The infrastructure is envisioned to provide researchers with an environment that is conducive to cross training among disciplines, supported by experimental evaluations and feasibility studies, from which prototype designs are moved to the realm of practicality. New opportunities are made possible for consolidating a joint FIU-Miami children's Hospital neuroscience program worthy of national distinction. In assistive technology research, a primary objective is to design the next generation of human computer interfaces that are multimodal and adaptive as real-time assistive systems that extend the functional capabilities of persons with motor and visually disabilities. On the educational front, new curriculum is planned, with engineers, computer scientists, neuroscientists, and radiologists working together for an integrated approach to the teaching and training of students. Furthermore, this project strengthens FIU's outreach programs for recruiting outstanding Ph.D. students. This is coupled with sustained commitments to recruiting and retaining underrepresented minorities in CISE-related disciplines.