Abstract & Details
Description
Award ID: 1738525
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is significant. On the commercial front, this project introduces a disruptive technology in motion tracking. The technology can benefit a broad customer base, including gaming, VR/AR and smart appliances. On the societal front, the motion tracking technology enables new ways of controlling virtually everything around us, which can lead to new ways of education, telepresence, health care, and scientific experiments. Moreover, the novel algorithms developed in the project significantly advance the state-of-art in localization and motion tracking technology. Through its internship program, the project provides exciting hands-on research experience opportunities for students and teaches them how to transfer research into products. Such experience will train them as leaders in future research & development roles. This Small Business Innovation Research (SBIR) Phase II project develops accurate motion tracking and gesture recognition systems using acoustic signals to offer four distinct advantages: (i) high tracking accuracy; (ii) low-cost and easy deployment without the need for additional hardware; (iii) easy to use; and (iv) the ability to function under a wide range of scenarios. The technology can potentially revolutionize gaming, VR/AR, and the smart appliance industry, and opens the door to new applications. In addition to designing accurate motion tracking systems, the project will create a software development kit (SDK) and several significant applications that take advantage of the accurate tracking capability.
NSF Program Director: Peter Atherton
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is significant. On the commercial front, this project introduces a disruptive technology in motion tracking. The technology can benefit a broad customer base, including gaming, VR/AR and smart appliances. On the societal front, the motion tracking technology enables new ways of controlling virtually everything around us, which can lead to new ways of education, telepresence, health care, and scientific experiments. Moreover, the novel algorithms developed in the project significantly advance the state-of-art in localization and motion tracking technology. Through its internship program, the project provides exciting hands-on research experience opportunities for students and teaches them how to transfer research into products. Such experience will train them as leaders in future research & development roles. This Small Business Innovation Research (SBIR) Phase II project develops accurate motion tracking and gesture recognition systems using acoustic signals to offer four distinct advantages: (i) high tracking accuracy; (ii) low-cost and easy deployment without the need for additional hardware; (iii) easy to use; and (iv) the ability to function under a wide range of scenarios. The technology can potentially revolutionize gaming, VR/AR, and the smart appliance industry, and opens the door to new applications. In addition to designing accurate motion tracking systems, the project will create a software development kit (SDK) and several significant applications that take advantage of the accurate tracking capability.
NSF Program Director: Peter Atherton
| Status | Closed |
|---|---|
| Effective start/end date | 09/15/17 → 10/31/22 |
Funding
- SBIR Phase II: $750,000.00
Active Fiscal Year
- FY2023
- FY2022
Start Fiscal Year
- FY2017
TIP Programs
- SBIR Phase II
Small Business
- Yes
Key Technology Areas
- Advanced Communications
- (confidence score: 100%)
Technology Foci
- Immersive Technology and edge devices
- (confidence score: 100%)
Congressional District at Award
- District n. 37 of Texas
Current Congressional District
- District n. 37 of Texas
United States
- Texas
Core Based Statistical Area (CBSA)
- Austin-Round Rock-San Marcos, TX
County
- County: Travis, TX
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