Planning Grant: I/UCRC for Assistive Technologies to Enhance Human Performance

1338930德克萨斯大学阿灵顿分校（UTA）; Makedon 1338932德克萨斯大学达拉斯分校（UTD）; Daescu拟议中的I/UCRC将专注于辅助技术，通过消除或帮助克服身体，认知或操作领域的障碍来提高人类的表现，并帮助人类尽可能地发挥潜力。研究工作将由德克萨斯大学阿灵顿分校（UTA）作为牵头机构，与德克萨斯大学达拉斯分校（UTD）合作。辅助技术（AT）使用计算机工具和方法来增加，保持或改善残疾人的功能能力，以及提高身体健康的人的生产力。自动测试系统可以提高工作效率，识别安全风险，通过模拟缩短学习曲线或工人培训，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。该中心将促进AT研究基础设施在工业、研究中心和学术界的发展。这将有助于创造新的就业机会和新类型的产品和服务。拟议中的中心将有助于培养下一代有竞争力的企业家科学家，并将提供新的机会，让学生在毕业前尽早参与与公司利益相关的实习或研究项目。UTA和UTD在AT领域培训学生方面都有很好的记录，并且正在进行研究，从更好的方法来识别软件错误，到分析面部表情来识别关节炎疼痛，或者高效的多模式数据库搜索。

1338930 University of Texas at Arlington (UTA); Makedon 1338932 University of Texas at Dallas (UTD); Daescu The proposed I/UCRC will focus on assistive technologies to enhance human performance by removing or helping to overcome physical, cognitive or operational domain obstacles and help the human reach his or her potential as much as possible. The research efforts will be anchored by the University of Texas at Arlington (UTA) as the lead institution, partnered with the University of Texas at Dallas (UTD). Assistive technologies (AT) use computer tools and methods to increase, maintain, or improve the functional capabilities of people with disabilities, as well as to enhance the productivity of well-bodied people. ATs can improve work efficiency, identify safety risks, shorten the learning curve or worker training through simulations, 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 center will promote the development of AT research infrastructure in industry, research centers and academia. It will help generate new jobs and new types of products and services. The proposed center will help prepare a future generation of competitive employees-scientists, and will provide new opportunities to engage students early, before graduation, in internship or research projects related to the company's interests. Both UTA and UTD, have a strong track record in training students in AT areas and have ongoing research that ranges from better ways to identify software errors, to analysis of facial expressions to identify arthritic pain, or efficient multimodal database searches.