I-Corps: Assistive Context Aware Interface

这个i-Corps项目的更广泛的影响/商业潜力是帮助数百万慢性或急性残疾的人，导致他们失去沟通和计算机控制能力。拟议的辅助环境感知界面(ACAI)将使这些人重新获得与照顾者和家庭沟通的能力，并控制他们的环境，这将导致生活质量的提高，在某些情况下，改善所接受的医疗保健。潜在客户包括全球近400万人，他们患有脊髓损伤、中风、多发性硬化症、肌萎缩侧索硬化症和创伤性脑损伤等疾病。该项目将致力于将ACAI商业化，作为一种独立的计算机接口，个人可以通过它使用现有的辅助技术，包括以个人为客户的增强型和替代通信解决方案，并将其商业化，作为完整的重症监护病房精神错乱评估系统的一部分，该系统将提供给医院以改善患者护理。这个I-Corps项目将提供一个基础设施，支持生理和行为传感器之间丰富的上下文信息交换，以捕捉人类控制计算机应用程序的意图。辅助上下文感知接口(ACAI)框架基于贝叶斯推理和信息理论编码原则，确保了设计中的数学严谨性，为用户提供了几乎最佳的速度-精度性能。该框架基于人在环的网络物理系统设计原则，确保以用户为中心、模块化和可扩展的设计，使用用户可以在其临床条件下使用的所有生理和行为信号进行辅助计算机访问。ACAI在人类意图推理中统一了身体和大脑的生理信号处理。方便的用户定制将允许用户利用多种输入模式来控制辅助计算机应用程序，并承诺提供一种自适应解决方案，可以满足他们在治疗或疾病进展期间不断变化的需求。

The broader impact/commercial potential of this I-Corps project is to help millions of individuals with chronic or acute disabilities leading to loss of communication and computer control abilities. The proposed assistive context aware interface (ACAI) will allow these individuals to regain the ability communicate with caregivers and families, and to control their environments, which will lead to increase in quality of life and in some cases improvement in received healthcare. Potential customers include close to 4 million people worldwide, with conditions such as spinal cord injuries, strokes, multiple sclerosis, amyotrophic lateral sclerosis, and traumatic brain injury. This project will pursue the commercialization of ACAI as a stand-alone computer interface with which individuals can use existing assistive technology, including augmentative and alternative communication solutions that targets individuals as customers, and its commercialization as part of a complete intensive care unit delirium assessment system that will be offered to hospitals for improved patient care.This I-Corps project will offer an infrastructure that supports rich contextual information exchange between physiological and behavioral sensors that capture human intent for the control of computer applications. The assistive context aware interface (ACAI) framework is based on Bayesian inference and information theoretic coding principles that ensure mathematical rigor in design in offering almost optimal speed-accuracy performance to the user. The framework is based on the human-in-the-loop cyber-physical systems design principles, which ensures a user-centric, modular and scalable design for assistive computer access using all physiological and behavioral signals that can be exploited by the users in their clinical conditions. ACAI unifies body and brain physiological signal processing in human intent inference. Convenient user customization will allow users to exploit multiple input modalities to control assistive computer applications, and promises an adaptive solution that can cater to their changing needs during treatment or disease progression.