I/UCRC Phase I: iPerform - I/UCRC for Assistive Technologies to Enhance Human Performance

辅助技术（AT）的I/UCRC将吸引对AT研究进步的支持，并促进由工业需求驱动的学术创新。在工作环境中，自动化技术可以提高工作效率，识别安全风险，通过模拟缩短学习曲线或工人培训，并改善资源分配，创造力和沟通。在医疗保健环境中，AT工具可以增强感官和认知能力，改善培训交付，实现远程监控，延迟慢性疾病中的身体和认知下降，个性化康复，预测独居老人的风险，监测睡眠障碍，设计更好的假肢或药物，设计更好的机器人助手，智能轮椅，治疗游戏和工具来监测精神/生理状况，如抑郁症，癫痫症或心脏问题。在该中心进行的种子项目将有助于推进计算机视觉、机器学习、用户界面、大脑成像、人机交互、人机交互、虚拟现实、仿真和许多其他相关研究领域的基础研究。在I/UCRC进行的辅助技术项目将推动工人生产力和安全、交通、健康、公司运营和智能化，促进AT研究基础设施的发展。该中心解决现实世界的问题，从而可以产生新的就业机会，产品，服务，并影响人类有潜力改进的所有领域。该中心将在提高AT专业人员的质量和多样性方面发挥作用，并为下一代有竞争力的科学家做好准备，他们可以解决人类需求未得到满足的问题。通过引人注目的项目，该中心还将吸引学生到CSE领域。UTA和UTD在培训学生方面有着良好的记录，并且正在进行NSF项目，例如，识别软件错误，分析面部表情以识别关节炎疼痛，或有效的多模式数据库搜索。

The I/UCRC for Assistive Technologies (AT) will attract support for the advancement of AT research and promote innovation in academia that is driven by industrial needs. In work environments, ATs can improve work efficiency, identify safety risks, shorten the learning curve or worker training through simulations, and improve resource allocation, creativity and communication. In healthcare environments, AT tools can enhance sensory and cognitive capabilities, improve training & delivery, enable remote monitoring, delay physical and cognitive decline in chronic conditions, personalize rehabilitation, predict risks for the elderly who live alone, monitor sleep disorders, design better prosthetics or drugs, design better robotic assistants, smart wheelchairs, therapy games and tools to monitor mental/physiological conditions, such as depression, epilepsy, or heart problems. The seed projects conducted within the center will help advance basic research in computer vision, machine learning, user interfaces, brain imaging, human robot interaction, human computer interaction, virtual reality, simulation, and many other related research areas.The projects conducted at I/UCRC for Assistive Technologies will drive a broad spectrum of advances in the areas such as worker productivity and safety, transportation, health, company operations and intelligence, and promote the development of AT research infrastructure. The center addresses real-world problems and thus can generate new jobs, products, services, and impact all areas where a human has the potential to improve. The center will play role in enhancing the quality and diversity of AT professionals and prepare a future generation of competitive employees-scientists who can solve problems due to unmet human needs. Through compelling projects, the center will also attract students to CSE fields. UTA and UTD have a strong record in training students and have ongoing NSF projects, e.g., to identify software errors, analysis of facial expressions to identify arthritic pain, or efficient multimodal database searches.