Automated Video Activity Analysis for Eldercare
老年人护理的自动视频活动分析
基本信息
- 批准号:7440221
- 负责人:
- 金额:$ 14.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-07-01 至 2010-06-30
- 项目状态:已结题
- 来源:
- 关键词:AgeAgingAttentionCaregiversCognitionComputersConditionDataDatabasesDetectionDiagnosisEarly identificationElderlyEmergency SituationFacility DesignsGrowthHealthHome environmentHumanImageryIndependent LivingIndiumInformation TechnologyInterdisciplinary StudyLifeLife StyleLinguisticsMissouriModelingMonitorNursing SchoolsPatternPopulationPrivacyPurposeQuality of lifeReportingResearchResearch Project GrantsResourcesRiskSafetySchemeSchool NursingSocietiesSpecialistTechnologyTestingTimeUniversitiesVideo RecordingWireless Technologybasecostdesigndesirefallsfunctional declineimprovedinnovationnursing interventionprogramsresponsesensor
项目摘要
DESCRIPTION (provided by applicant): Our objective is to explore new information technologies to assist the independent living of elderly people and enhance their quality of life at home, while utilizing the time and attention of caregivers and eldercare specialists in the highest efficiency. Our multidisciplinary research team will design a privacy-protecting wireless video sensor network to collect continuous video data about the resident's activities at home. We will develop a statistical activity modeling framework to analyze the video data for automated functional assessment and abnormal activity detection. Based on the results from the automated activity analysis, we will develop an video summarization scheme to transform the voluminous video data into a compact and meaningful activity record for fast and efficient functional assessment and problem diagnosis. The abnormal activity detection will help reducing the risks of independent living by detecting falls and other unusual activity patterns that indicate changing conditions or health crisis. The continuous video monitoring and automated activity analysis and summarization will significantly improve the eldercare efficiency. The proposed technologies will be tested and evaluated at TigerPlace, a unique independent-living, apartment-style eldercare facility designed by the Sinclair School of Nursing at University of Missouri-Columbia (MU). Access to this cutting edge facility affiliated with MU provides an exceptional opportunity to accomplish our research aims. The potential risks of the elderly people living alone and the dreadful consequences of late response to abnormal situations call for the proposed technology. The remarkable growth of the elderly population and the shortage of eldercare professionals underscore the significance of the proposed research.
描述(由申请人提供):我们的目标是探索新的信息技术,以帮助老年人独立生活,提高他们在家中的生活质量,同时以最高的效率利用护理人员和老年护理专家的时间和注意力。我们的多学科研究团队将设计一个隐私保护的无线视频传感器网络,以收集有关居民在家中活动的连续视频数据。我们将开发一个统计活动建模框架来分析视频数据,以进行自动功能评估和异常活动检测。基于自动化活动分析的结果,我们将开发一个视频摘要方案,将大量的视频数据转换为紧凑和有意义的活动记录,用于快速有效的功能评估和问题诊断。异常活动检测将通过检测指示变化的条件或健康危机的福尔斯和其他异常活动模式来帮助降低独立生活的风险。持续的视频监控和自动化的活动分析和总结将显着提高老年人护理效率。拟议的技术将在TigerPlace进行测试和评估,TigerPlace是由密苏里-哥伦比亚大学(MU)辛克莱护理学院设计的独特的独立生活公寓式老年人护理设施。访问这个与MU附属的尖端设施提供了一个特殊的机会来实现我们的研究目标。独居老人的潜在风险和对异常情况反应迟缓的可怕后果要求提出这项技术。老年人口的显着增长和老年护理专业人员的短缺强调了拟议研究的重要性。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A real-time system for in-home activity monitoring of elders.
老年人家庭活动实时监控系统。
- DOI:10.1109/iembs.2009.5334915
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:Zhou,Zhongna;Dai,Wenqing;Eggert,Jay;Giger,JarodT;Keller,James;Rantz,Marilyn;He,Zhihai
- 通讯作者:He,Zhihai
Automated estimation of elder activity levels from anonymized video data.
根据匿名视频数据自动估计老年人的活动水平。
- DOI:10.1109/iembs.2009.5335248
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:Harvey,Nicholas;Zhou,Zhongna;Keller,JamesM;Rantz,Marilyn;He,Zhihai
- 通讯作者:He,Zhihai
A smart home application to eldercare: current status and lessons learned.
- DOI:10.3233/thc-2009-0551
- 发表时间:2009-01-01
- 期刊:
- 影响因子:0
- 作者:Skubic, Marjorie;Alexander, Gregory;Keller, James
- 通讯作者:Keller, James
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Zhihai He其他文献
Zhihai He的其他文献
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{{ truncateString('Zhihai He', 18)}}的其他基金
Automated Video Activity Analysis for Eldercare
老年人护理的自动视频活动分析
- 批准号:
7256869 - 财政年份:2007
- 资助金额:
$ 14.27万 - 项目类别:
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