SHB: Medium: Collaborative Research: Crafting a Human-Centric Environment to Support Human Health Needs

SHB:媒介:合作研究:打造以人为本的环境来支持人类健康需求

基本信息

  • 批准号:
    1064628
  • 负责人:
  • 金额:
    $ 70.36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

Researchers and providers alike are recognizing that human-centric smart environments can provide health monitoring services and support aging in place through adaptive interventions. The need for the development of such technologies is underscored by the aging of the population, the cost of formal health care, and the importance that individuals place on remaining independent in their own homes. The goal of this project is to design, implement, and evaluate in-home techniques for generating reports of activities and social interactions that are useful for monitoring well being and for automating intervention strategies for persons with dementia. The plan is to design machine learning techniques that make effective use of sensor data to perform automated activity monitoring and prompting-based interventions that are beneficial for the residents as well as for their caregivers and family. The environment is human-centric because it learns information about its human residents and uses this information to provide activity-aware monitoring and intervention services. By transforming everyday environments into smart environments, many older adults with cognitive and physical impairment can lead independent lives in their own homes. A key component of this project is an evaluation of the technologies in actual homes with volunteer older adults and thus will assess the technologies for acceptance with the target population. This project addresses NSF?s Smart Health and Wellbeing goal of leveraging computational expertise leading to fundamental advances in the development of algorithms to create improvements in safe, effective, and patient-centered health and wellness services. The development of a Gerontechnology class is focused on training students to design and use these technologies. This effort includes REU and IGERT students in the research project, which involves students from underrepresented groups in this multidisciplinary, collaborative effort. To facility community-wide use, comparison and collaboration, all of our datasets, tools, and course materials will be disseminated from our project web page.
研究人员和供应商都认识到,以人为本的智能环境可以提供健康监测服务,并通过适应性干预措施支持就地老化。人口老龄化、正规医疗保健的成本以及个人对在自己家中保持独立的重视,都突出表明了发展这种技术的必要性。该项目的目标是设计,实施和评估家庭技术,用于生成活动和社交互动的报告,这些报告有助于监测健康状况和自动化痴呆症患者的干预策略。 该计划旨在设计机器学习技术,有效利用传感器数据来执行自动化活动监测和基于干预的干预措施,这对居民及其护理人员和家庭都有利。环境是以人为中心的,因为它学习有关其人类居民的信息,并使用这些信息来提供活动感知监控和干预服务。通过将日常环境转变为智能环境,许多有认知和身体障碍的老年人可以在自己的家中独立生活。该项目的一个关键组成部分是与老年志愿者一起在实际家庭中评估这些技术,从而评估这些技术是否为目标人口所接受。该项目涉及NSF?的智能健康和福祉的目标是利用计算专业知识,导致算法开发的根本性进步,以改善安全,有效和以患者为中心的健康和保健服务。Gerontechnology课程的开发重点是培训学生设计和使用这些技术。这项工作包括REU和IGERT的学生在研究项目,其中涉及学生从代表性不足的群体在这个多学科的,合作的努力。 为了方便社区范围内的使用,比较和协作,我们所有的数据集,工具和课程材料将从我们的项目网页传播。

项目成果

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Diane Cook其他文献

The remote monitoring of gastrointestinal cancer patients’ performance status and burden of symptoms via a consumer-based activity tracker: qualitative focus group study (Preprint)
通过基于消费者的活动跟踪器远程监测胃肠癌患者的表现状态和症状负担:定性焦点小组研究(预印本)
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Ghods;A. Shahrokni;Hassan Ghasemzadeh;Diane Cook
  • 通讯作者:
    Diane Cook
Understanding the Relationship Between Ecological Momentary Assessment Methods, Sensed Behavior, and Responsiveness: Cross-Study Analysis
理解生态瞬时评估方法、感知行为和反应性之间的关系:跨研究分析
  • DOI:
    10.2196/57018
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
    6.200
  • 作者:
    Diane Cook;Aiden Walker;Bryan Minor;Catherine Luna;Sarah Tomaszewski Farias;Lisa Wiese;Raven Weaver;Maureen Schmitter-Edgecombe
  • 通讯作者:
    Maureen Schmitter-Edgecombe
The Influence of Social Factors on Common Mental Disorders
社会因素对常见精神疾病的影响
  • DOI:
    10.1192/bjp.156.5.704
  • 发表时间:
    1990
  • 期刊:
  • 影响因子:
    10.5
  • 作者:
    D. Goldberg;K. Bridges;Diane Cook;Barbara Evans;D. Grayson
  • 通讯作者:
    D. Grayson
Continuous Assessment of Daytime Heart Rate Response During Inpatient Rehabilitation
  • DOI:
    10.1016/j.apmr.2017.09.092
  • 发表时间:
    2017-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Douglas Weeks;Gina Sprint;Alyssa La Fleur;Jordana Dahmen;Virgeen Stilwill;Amy Lou Meisen-Vehrs;Diane Cook
  • 通讯作者:
    Diane Cook

Diane Cook的其他文献

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{{ truncateString('Diane Cook', 18)}}的其他基金

EAGER: Multi-objective generation of synthetic time series data to boost model robustness and data privacy
EAGER:合成时间序列数据的多目标生成,以提高模型的稳健性和数据隐私
  • 批准号:
    2240615
  • 财政年份:
    2023
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
EAGER: Collaborative Research: Spatiotemporal transfer learning for enabling cross-country and cross-hemisphere in-season crop mapping
EAGER:协作研究:时空迁移学习,用于实现跨国和跨半球的当季作物绘图
  • 批准号:
    2227961
  • 财政年份:
    2022
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
Collaborative Research: SCH: Smart Health & Biomedical Res in the Era of AI and Adv Data Sci PIs Meeting 2022: Smart Health through the Life Course
合作研究:SCH:智能健康
  • 批准号:
    2232237
  • 财政年份:
    2022
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
CHS: Medium: Behavior360: Learning a Human Behaviorome in Uncontrolled Settings
CHS:媒介:Behavior360:在不受控制的环境中学习人类行为组
  • 批准号:
    1954372
  • 财政年份:
    2020
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
NRI: INT: Learning-Enabled Robot Support of Daily Activities for Successful Activity Completion
NRI:INT:支持学习的机器人支持日常活动以成功完成活动
  • 批准号:
    1734558
  • 财政年份:
    2017
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
CPS: TTP Option: Synergy: Collaborative Research: The Science of Activity-Predictive Cyber-Physical Systems (APCPS)
CPS:TTP 选项:协同:协作研究:活动预测网络物理系统 (APCPS) 的科学
  • 批准号:
    1543656
  • 财政年份:
    2015
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
CI-ADDO-EN: Smart Home in a Box: Creating a Large Scale, Long Term Repository for Smart Environment Technologies
CI-ADDO-EN:盒子里的智能家居:为智能环境技术创建大规模、长期存储库
  • 批准号:
    1262814
  • 财政年份:
    2013
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
Supporting US-Based Students to Attend the 2013 IEEE International Conference on Data Mining (ICDM 2013)
支持美国学生参加 2013 年 IEEE 国际数据挖掘会议 (ICDM 2013)
  • 批准号:
    1313551
  • 财政年份:
    2013
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
IEEE PerCom 2011 Student Travel Support
IEEE PerCom 2011 学生旅行支持
  • 批准号:
    1057724
  • 财政年份:
    2011
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant
Research Experiences for Undergraduates in Smart Environments
智能环境下本科生的研究经历
  • 批准号:
    0961234
  • 财政年份:
    2010
  • 资助金额:
    $ 70.36万
  • 项目类别:
    Standard Grant

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