SBIR/STTR Research Award

Strength and BALance (SABAL) Virtual Trainer

Award identifier a9d8cca2000ec7e792fd42946fd81a29c4fb895afce00eab5ddd82da8b6b3c14Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$224,918

Program and phase

STTR · Phase I

Award year

2015

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
BARRON ASSOCIATES, INC.
Proposal award date
2015-09-30
Contract end date
2016-08-31
UEI
C8FUKQKC9JB4
Solicitation number
PA14-072
Topic code
NIA

Research abstract

DESCRIPTION provided by applicant Introduction The Strength and BALance SABAL program targets reduction of fall risk in older adults through fun meaningful and motivating games that incorporate evidence based exercises and automatic generation of fall risk metrics The product consisting of virtual world based gaming software and an off the shelf KinectTM sensor will be used in senior centers retirement communities skilled nursing facilities rehabilitation clinics and private residences to promote adoption and adherence to an exercise program Key innovations include integration of evidence based strength and balance exercises into an immersive gaming experience and automated feedback to users and care providers through advanced human motion tracking Focus groups involving seniors in multiple settings will inform game design and explore older adult attitudes towards elements of social interaction competition and online community Phase I human participant testing will establish the criterion validity of game generated fall risk metrics The aggressive Phase I plan is undergirded by a multi disciplinary team that was recently awarded a Brandon Hall Award for andquot Best Use of Games for Learningandquot for development of game based interventions for at risk populations Problem to be addressed SABAL addresses the critical challenges of reducing risk of falls in older adults reducing resulting costs of treatment and hospitalization encouraging adherence to an evidence based exercise regime and extending access to health services in remote underserved areas Long Term Goal Reduced rate of falls and number of people falling in the population of older adults Phase I Summary The Phase I STTR effort employs user centered design to emphasize the experience of older adult users and their care providers Focus groups conducted at a local assisted living facility and a regional wellness center will support identification of game themes activities and modes of social interaction that are most likely to motivate adherence The results will guide the Phase I development of games that integrate evidence based interventions automated assessment and employ state of the art graphics audio and user interactions Researchers at the University of Virginia will lead a pilot study employing the Phase I prototype to quantify correlation between SABAL game derived metrics and clinically accepted measures of fall risk and assess system usability likelihood of use by older adults through interviews and responses to Likert scale questionnaire based on the Technology Acceptance Model TAM and System Usability Scale SUS Subsequent Phase II research will include development of a web enabled SABAL commercial product human participant studies to establish efficacy of virtual worlds based gaming for fall risk reduction and study of the potential benefits of games for adoption and adherence in home skilled care and community settings Commercial Opportunity SABAL software will be available to institutions via a Perpetual License or as a Software as a Service SaaS subscription Individual user licenses will be available at a discounted rate PUBLIC HEALTH RELEVANCE The proposed Strength and BALance SABAL system will contribute to the reduction of fall risk in the population of older adults and associated treatment and hospitalization costs by promoting adherence to an evidence based regimen of strength and balance exercises SABAL comprised of state of the art gaming software and an off the shelf KinectTM sensor will motivate fun and socially engaging game play for practice of evidence based exercises provide valid feedback metrics to users and care providers on fall risk reduction enable both independent and socially interactive online play reduce the time and expense associated with patient care provider travel and increase access to care in remote and underserved areas and for home bound individuals

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

331 SBIR/STTR records share this UEI (1987–2025). Reported award amounts total $130,507,041. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, Department of Health and Human Services, National Aeronautics and Space Administration, Department of Commerce, Department of Education, Department of Energy

Contractor profile

BARRON ASSOCIATES, INC.

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.