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中文摘要
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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,一半的家庭护理人员报告每周花费46小时或更多时间帮助他/她进行日常生活活动(ADL)。超过一半的人觉得自己一天24小时都在“值班”,一半的人因为照顾别人的需要而不得不终止或减少工作。Ingenium建议创建一个实用的、自我学习的系统,用于老年人的活动监测和支持。这种先进的活动监测与Ingenium的互动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日常任务的成功实施。本提案的目标是生产一个系统,该系统可以可靠地识别活动,每个房间只使用一个Ingenium无线管理员和一个与具有自我学习能力的人工智能系统相连的Ingenium可穿戴无线徽章。这是通过互动徽章和房间管理员完成的。相比之下,现有技术使用了许多传感器,并且需要离线处理来训练活动识别器,并且无法在实验室环境之外使用。此外,目前没有商业系统具有交互式计划和调度支持。Ingenium将利用华盛顿州立大学人工智能实验室的工作人员的帮助,华盛顿州立大学在识别日常生活活动方面是公认的领导者。目标1将重新创造WSU的技术,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的智能公寓配备Ingenium系统。这套智能公寓由37个传感器组成。Ingenium系统将简化和增强WSU配置,仅使用7个Ingenium房间管理员。20名学生将参加一项研究,以验证Ingenium系统比目前的有线多运动传感器系统提供更好的活动定位和识别。Aim #3将测试Ingenium系统增强的交互式提示和学习能力的能力,在没有知识转移的情况下学习相同的活动,因此验证实时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。
英文摘要
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".
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Passive Activity Monitoring with Patient Identification and Gesture Detection
  • 批准号:
    8463373
  • 项目类别:
  • 资助金额:
    $15.28万
  • 财政年份:
    2012
  • 负责人:
    JAMES L WOLF
  • 依托单位:
MDI COMMERCIAL ACTUATOR CHRONOLOG
  • 批准号:
    2232001
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    1995
  • 负责人:
    JAMES L WOLF
  • 依托单位:
INTERACTIVE ASTHMA MANAGEMENT & REMOTE REPORTING SYSTEM
  • 批准号:
    2233668
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    1995
  • 负责人:
    JAMES L WOLF
  • 依托单位:
SINGLE PILL DELIVERY WITH COMPLIANCE MONITORING/REMINDIN
  • 批准号:
    2257845
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    1995
  • 负责人:
    JAMES L WOLF
  • 依托单位:
海外基金