Algorithms to Detect In-Home Falls of Elderly Using Structured Light Sensing
Algorithms to Detect In-Home Falls of Elderly Using Structured Light Sensing
批准号:
9902762
负责人:
PAUL GIBSON
金额:
$29.98万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-02-15 至 2023-01-31
关键词:
3-DimensionalAcousticsAdultAgingAlgorithmsCaregiversCessation of lifeCommunication MethodsConsultCraniocerebral TraumaDarknessDataData SetDetectionDevelopmentDevicesElderlyElectronicsEngineeringEvaluationFall preventionFloorFurnitureHealth PromotionHip FracturesHip InjuriesHome environmentHospital CostsHumanImageIncidenceInjuryLightMedicalMedical Care CostsMinnesotaMonitorMotionPatientsPersonsPhasePhysiologicalPopulationPrincipal InvestigatorPrivacyProtocols documentationResearchRiskScienceSignal TransductionStructureSystemTechnologyTelephoneUniversitiesVendorVisible RadiationVisitWireless TechnologyWorkbasebonecomputerized data processingcostexperiencefall injuryfall riskfallshuman old age (65+)innovationmid-career facultyphase 1 testingsensorsevere injurysuccessvibration
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Abstract
Each year more than one out of four people 65 and older falls. Of those that fall one out of five has a serious
injury such as broken bones or a head injury. Over 800,000 patients a year are hospitalized because of a fall
injury, most often because of a head injury or hip fracture. Studies have found an increased risk of physical
and physiological complications associated with prolonged periods of lying on the floor following a fall, due to
an inability to get up. Older adults living alone are at great risk of delayed assistance following a fall. A low-
cost, unobtrusive system capable of automatically detecting falls in the homes of older adults could help
significantly reduce the incidence of delayed assistance after a fall. This project will develop an innovative new
in-home fall monitoring system that solves many practical problems with other systems. The technical
approach uses structured light. Structured light sensing creates 3D point clouds of a scene to allow detection
of motion sequences which will allow for the automatic detection of a person’s fall. There are many benefits of
this approach; the elderly person is not required to carry an electronic device or take action after the fall, video
images that would create a privacy concern for the elderly person are not used, the system can work in
darkness unlike camera based approaches, and the system is less susceptible to false alarms than vibration or
acoustic fall monitoring that infer a fall. The structured light sensing fall detection product is intended to be an
optional accessory to in-home alert systems in use today. It will work with multiple vendors of in-home alert
systems. It will operate in parallel with wearable buttons to signal an alert. Once the structured light sensing fall
detection identifies a fall it will activate the alert system the same way as a wearable button press. The same
protocol would be followed. In these systems an operator would first try to talk to the person with the speaker
phone of the vendors’ in-home alert system. If they cannot communicate with the person, they start working
through a call list of local people to check on the home. The structured light sensing fall detection system
would be used if caregivers decide for various reasons that a simple wearable button is not an adequate
solution for the person being monitored.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Detecting Medical Emergencies in Isolated Older Adults Living Alone in Rural Areas
-
批准号:10400417
-
项目类别:
-
资助金额:$26.03万
-
财政年份:2021
-
负责人:PAUL GIBSON
-
依托单位:
Automated Contact Tracing for Large Business Using Indoor Location Technology
-
批准号:10323871
-
项目类别:
-
资助金额:$24.34万
-
财政年份:2021
-
负责人:PAUL GIBSON
-
依托单位:
Using Structured Light Sensing with Machine Learning to Detect Unwitnessed In-Home Falls
-
批准号:10818017
-
项目类别:
-
资助金额:$76.86万
-
财政年份:2020
-
负责人:PAUL GIBSON
-
依托单位:
An Automated System to Locate Items Misplaced by Persons with Dementia in a Care Facility
-
批准号:10019454
-
项目类别:
-
资助金额:$49.89万
-
财政年份:2019
-
负责人:PAUL GIBSON
-
依托单位:
海外基金