SBIR-STTR Award

The population of the United States, as in most developed nations, is aging and is doing so at an increasing rate. This change in demographics is having a dramatic affect on the nation's healthcare delivery system and the related public costs. The Congressional Budget Office predicts that the cost of long-term care for the elderly will reach $207 billion in 2020 and $346 billion in 2040. By 2030, spending for Social Security, Medicare and Medicaid will amount to almost 60% of the federal budget. The strong predilection of most of the elderly, and their families, is to prefer long-term care delivery in the home rather than in the institutionalized setting. This has resulted in a massive shift of elderly care costs to unpaid family caregivers, and this cost is not reflected in the budget numbers provided above. However, the continuation of this shifting of elderly care costs to family members is not sustainable due to the decrease in birth rate and the increasing number of adults surviving to old age without living children. As a result there will be an increasingly urgent need for publicly funded support of elderly home-based care while, at the same time, an equally urgent need to control the spirally cost of this care. More efficient delivery of home-care services for the elderly can have a significant impact on controlling, or even reducing, the cost of long-term elderly care. However, in order to deliver this care cost-effectively, a technology-based infrastructure optimized for this purpose will be required. One means of achieving this goal is by developing innovative mobile technology solutions which can monitor and maintain the activity, health and safety, and thereby the independence, of the elderly within the home. Our working hypothesis in this proposal is that a properly designed, head-mounted, wearable-computing solution can bring unique and powerful capabilities to address the need for more effective and lower-cost elderly home monitoring. We propose to develop a highly compact, light-weight, innovative technology called the Head-mounted Activity Monitoring (HAM) System.

Public Health Relevance Statement:


Public Health Relevance:
This project proposes to develop an innovative, low cost, ubiquitous and easy to use hardware and software system designed to support the independent living of the elderly. This wearable computing system accomplishes this by facilitating remote activity and safety monitoring, and also supports communication and interaction between the elderly, their caregivers, friends and family members, thereby reducing social isolation.

Project Terms:
3D Print; Address; Adult; Age; Aging; Agreement; Algorithms; Americas; arm; base; Behavior; Birth Rate; Breeding; Budgets; care delivery; Caregivers; Caring; Child; Clinic; commercialization; Communication; Computer software; Computer Systems; cost; cost effective; Data; demographics; design; Developed Countries; Development; Devices; Ear structure; Elderly; Electronics; Engineering; Environment; Evaluation; Eyeglasses; Family; Family Caregiver; Family member; Feedback; Focus Groups; Friends; Funding; Gap Junctions; Goals; Hand; handheld mobile device; Head; Health; health care delivery; Health Personnel; Home Care Services; Home environment; Homes for the Aged; Housing; Independent Living; innovation; innovative technologies; Legal patent; Life; light (weight); Location; Locomotion; Long-Term Care; Long-Term Care for Elderly; Machine Learning; Medical; Medicare/Medicaid; Memory; Monitor; Pattern; Performance; Phase; Population; Process; Protocols documentation; prototype; Provider; public health relevance; Research; research and development; Research Infrastructure; Running; Safety; Secure; sensor; Series; Social isolation; Social Security; software systems; Solutions; System; Technology; Telecommunications; Testing; Time; trend; United States; usability; Wearable Computer; Work

The population of the United States, as in most developed nations, is aging and is doing so at an increasing rate. This change in demographics is having a dramatic effect on the nation's healthcare delivery system and the related public costs. The Congressional Budget Office predicts that the cost of long-term care for the elderly will reach $207 billion in 2020 and $346 billion in 2040. By 2030, spending for Social Security, Medicare and Medicaid will amount to almost 60% of the federal budget. The strong predilection of most of the elderly, and their families, is to prefer long-term care delivery in the home rather than in the institutionalized setting. This has resulted in a massive shift of elderly care costs t unpaid family caregivers, and this cost is not reflected in the budget numbers provided above. However, the continuation of this shifting of elderly care costs to family members is not sustainable due to the decrease in birth rate and the increasing number of adults surviving to old age without living children. As a result there will be an increasingly urgent need for publicly funded support of elderly home-based care while, at the same time, an equally urgent need to control the spirally cost of this care. More efficient delivery of home-care services for the eldery can have a significant impact on controlling, or even reducing, the cost of long-term elderly care. However, in order to deliver this care cost-effectively, a technology-based infrastructure optimized for this purpose will be required. One means of achieving this goal is by developing innovative mobile technology solutions which can monitor and maintain the activity, health and safety, and thereby the independence, of the elderly within the home. Our working hypothesis in this proposal is that a properly designed, head-mounted, wearable-computing solution can bring unique and powerful capabilities to address the need for more effective and lower-cost elderly home monitoring. We propose to develop a highly compact, light-weight, innovative technology called the Head-mounted Activity Monitoring (HAM) System.

Public Health Relevance Statement:


Public Health Relevance:
This project proposes to develop an innovative, low cost, ubiquitous and easy to use hardware and software system designed to support the independent living of the elderly. This wearable computing system accomplishes this by facilitating remote activity and safety monitoring, and also supports communication and interaction between the elderly, their caregivers, friends and family members, thereby reducing social isolation.

NIH Spending Category:
Aging; Behavioral and Social Science; Bioengineering; Clinical Research; Health Services; Networking and Information Technology R&D

Project Terms:
3D Print; Address; Adult; Age; Aging; Agreement; Algorithms; Americas; arm; base; Behavior; Birth Rate; Breeding; Budgets; care delivery; Caregivers; Caring; Cellular Phone; Child; Clinic; commercialization; Communication; Computer software; Computer Systems; cost; cost effective; Data; demographics; design; Developed Countries; Development; Devices; Ear structure; Elderly; Electronics; Engineering; Environment; Evaluation; Eyeglasses; Family; Family Caregiver; Family member; Feedback; Focus Groups; Friends; Funding; Gap Junctions; Goals; Hand; handheld mobile device; Head; Health; health care delivery; Health Personnel; Home Care Services; Home environment; Homes for the Aged; Housing; Independent Living; innovation; innovative technologies; Legal patent; Life; light (weight); Location; Locomotion; Long-Term Care; Long-Term Care for Elderly; Machine Learning; Medical; Medicare/Medicaid; Memory; Monitor; Pattern; Performance; Phase; Population; Process; Protocols documentation; prototype; Provider; Research; research and development; Research Infrastructure; Running; Safety; Secure; sensor; Series; Social isolation; Social Security; software systems; Solutions; System; Technology; Telecommunications; Testing; Time; trend; United States; usability; Wearable Computer; Work