SBIR/STTR Research Award

STTR Phase I: Gait Tracker Shoe for long term accurate measurement of walking and running

Award identifier 89f9d8f4441982229e014d661e1feb2e364176722e7404d63724e5f639a73070Awarding agency National Science Foundation

Award amount

$225,000

Program and phase

STTR · Phase I

Award year

2015

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
JKM TECHNOLOGIES, LLC
Proposal award date
2015-01-01
Contract end date
2015-12-31
UEI
LSK3V193FBP8
Solicitation number
Not reported
Topic code
BM

Research abstract

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project centers around the ability to provide accurate gait data for every day real world activities. Certainly this could be something of a game changer in the field of locomotion rehabilitation where self-reporting of compliance is an issue. In the growing activity of running this can change the way runners (or even cross-country skiers or skaters with modified algorithms) train. With this capability runners would know the history of their gait through a training session or race. For an individual with a condition that needs long term monitoring this technology can provide for the first time, detailed data on how one locomotes in the real world. One can determine not only the number of steps one takes and how large each step was, but detailed information on what activities the user performed, such as walking up or down stairs; walking up or down slopes, walking versus running, etc. Finally, IMUs could be packaged in different devices that could be used to objectively measure rehabilitation activities other than walking. The proposed project uses advances in our ability to gather accurate information from Inertial Measurement Units (IMUS) and combines them with an innovative shoe design to allow economical measurement and reporting of out-of-lab locomotion for individuals. Using new mathematical algorithms the data from the IMU sensors can accurately determine gait, running or walking, parameters. They can also distinguish the type of locomotor activity a person is engaged in, such as walking up a hill vs running on a level surface. The analysis of this data over extended periods of time will be a practical application of the use of Big Data (large data sets where special analysis tools are needed). This work will allow low cost reporting in rehabilitation settings avoiding the issues of self-reporting and the high cost of supervised rehabilitation. This work will also develop apps for smartphones to allow real time feedback to individuals to ensure that they are following their prescribed rehabilitation. Advanced manufacturing with Bluetooth data transmission and induction charging will allow the IMUs to be placed inside the shoe sole protected from the elements.

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.

Research funding history

3 SBIR/STTR records share this UEI (2015–2017). Reported award amounts total $949,999. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

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