Interactive, Self-programming, AI System for Activity Monitoring of the Elderly

描述（由申请人提供）：老年痴呆症患者对家庭成员和护理专业人员提出了巨大的护理挑战。在病人生命的最后一年，一半的家庭照顾者报告每周花费46小时或更多时间帮助他/她进行日常生活活动（ADL）。超过一半的人认为他们每天24小时“值班”，一半的人由于照顾的需要而不得不结束/减少就业。Ingenium建议创建一个实用的自学系统，用于监测和支持老年人的活动。这种先进的活动监测与Ingenium的交互式通信和支持系统相结合，将延长老年人、残疾人和患有创伤后应激障碍和创伤性脑损伤的士兵的独立生活和成功完成日常任务的时间。该提案的目标是生产一种系统，该系统可以可靠地识别活动，每个房间只使用一个Ingenium无线房间管理器和一个连接到具有自学能力的AI系统的Ingenium可穿戴无线徽章。这是通过交互式徽章和房间主人来完成的。相比之下，现有技术使用许多传感器，并且需要离线处理来训练活动识别器，并且不能在实验室环境之外使用。此外，目前没有任何商业系统具有交互式规划和调度支持。Ingenium将利用华盛顿州立大学人工智能实验室工作人员的协助，该实验室是公认的识别日常生活活动的领导者。目标#1将重新创建WSU技术，将活动知识转移到Ingenium平台，并通过交互式自学增强平台。目标#2将为WSU智能公寓配备Ingenium系统。智能公寓有一套复杂的37个传感器。Ingenium系统将简化和增强WSU配置，仅使用7个Ingenium房间管理器。20名学生将参加一项研究，以验证Ingenium系统提供优于当前有线多运动传感器系统上级活动定位和识别。目标#3将测试Ingenium系统的增强的交互式提示和学习能力的能力，以在没有知识转移的情况下学习相同的活动，从而验证真实的学习活动识别器在可商业化的系统中是可能的。Ingenium商业计划的目标之一是将该系统商业化。. 公共卫生相关性：今天，6000万美国人-五分之一-在他们的生活安排和日常活动中需要帮助。这些人主要是老年人和残疾人。通过应用最新的监测和人工智能技术，这项研究的成果将使Ingenium系统能够提高家庭和机构医疗保健的质量，同时降低提供医疗保健的成本。帮助老年人的技术市场将从今天的20亿美元急剧增长到2020年的200多亿美元，根据Frost & Sullivan和Forester Research（医疗保健和生命科学首席分析师Liz Boehm）题为“医疗保健Unbound的早期自助支付市场”的新报告。

DESCRIPTION (provided by applicant): Elderly patients with dementia present a massive care challenge for family members and care professionals. In the last year of a patient's life, half of family caregivers report spending 46 or more hours a week assisting him/her with activities of daily living (ADL). More than half felt they were "on duty" 24 hours a day, and half had to end/reduce employment due to the demands of care-giving. Ingenium proposes to create a practical, self-learning, system for activity monitoring and support of elderly persons. This advanced activity monitoring combined with Ingenium's interactive communications and support system will extend independent living and the successful conduct of everyday tasks for the elderly, disabled, and soldiers with PTSD and TBI. The goal in this proposal is to produce a system that can reliably recognize activities using only one Ingenium wireless room-master per room and an Ingenium wearable wireless badge linked to an AI system with self-learning capability. This is accomplished through the interactive badge and room masters. In contrast, existing technology uses many sensors and requires off-line processing to train the activity recognizer and is not useable beyond laboratory environments. Additionally, no current commercial system has interactive planning and scheduling support. Ingenium will utilize the assistance of the AI lab staff at Washington State University which is an acknowledged leader in recognizing activities of daily living. Aim #1 will re-create the WSU technology, transfer activity knowledge to the Ingenium platform and enhance the platform with interactive self learning Aim #2 will outfit the WSU smart apartment with the Ingenium system. The smart apartment has a complex set of 37 sensors. The Ingenium system will both simplify and enhance the WSU configuration by utilizing only 7 Ingenium room-masters. Twenty students will participate in a study to verify that the Ingenium system provides superior activity location and recognition than the current wired multiple motion sensor system. Aim #3 will test the ability of the enhanced interactive prompting and learning capability of the Ingenium system to learn the same activities without the knowledge transfer hence validating a real time learning activity recognizer is possible in a commercializable system. One of goals of Ingenium's business plan is to commercialize this system. . PUBLIC HEALTH RELEVANCE: Today, 60 million Americans - one in five - require assistance in their living arrangements and daily activities. These are primarily elderly individuals and persons with disabilities. By applying the latest monitoring and artificial intelligence technologies, the outcomes of this research would enable the Ingenium system to improve the quality of home and institutional health care, and at the same time, reduce the cost of providing that care. The marketplace for technology to assist the elderly will grow sharply from $2 billion today to more than $20 billion by 2020, according to new reports from Frost & Sullivan and Forester Research (Liz Boehm, Principal Analyst for Healthcare and Life Sciences) entitled "Healthcare Unbound's Early Self-Pay Market".