
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | September 20, 2016 |
Latest Amendment Date: | July 5, 2017 |
Award Number: | 1565268 |
Award Instrument: | Continuing Grant |
Program Manager: |
Marilyn McClure
mmcclure@nsf.gov (703)292-5197 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | October 1, 2016 |
End Date: | September 30, 2020 (Estimated) |
Total Intended Award Amount: | $374,646.00 |
Total Awarded Amount to Date: | $374,646.00 |
Funds Obligated to Date: |
FY 2017 = $144,369.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
201 SIKES HALL CLEMSON SC US 29634-0001 (864)656-2424 |
Sponsor Congressional District: |
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Primary Place of Performance: |
300 BRACKET HALL, Box 345702 Clemson SC US 29634-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | CSR-Computer Systems Research |
Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
Obesity is one of the most pressing health challenges faced by our country, and has been the target of much attention in the mobile health (mHealth) community. While the science of obesity indicates that diet is a major factor in behavioral change to encourage healthy weight management, we are still not able to effectively, quickly and easily measure eating and drinking behavior. This project's goal is to develop a digital earpiece, small and comfortable enough to wear behind the ear, that can sense and detect actions such as eating and drinking. The project's longterm vision is to enable behavioral health researchers to better understand health-related behaviors and, subsequently, to support the development of effective behavioral health interventions that promote healthy diet and behavior. Ultimately, a better understanding of eating-related behaviors, and better design of effective interventions regarding eating behavior, will have profound impact on personal and public health as well as the national economy. The project's hardware and software prototypes will be shared widely in the research community to enable experimentation around the sensing and interaction opportunities possible in an earpiece device. Furthermore, the project directly involves undergraduate and graduate students in interdisciplinary research, and outreach to middleschool students, expanding the supply of scientists educated in this important emerging topic.
The project's approach is to build a prototype wireless earpiece, small enough to wear behind the ear, with lowpower (microwattscale) electronics and software sufficient to allow for the battery to last a full waking day; to develop efficient algorithms for detecting and distinguishing healthrelated behaviors (eating, drinking, smoking, speaking, and stress); and to develop easy and effective means for the wearer to interact with the earpiece and its applications.
The team expects to develop novel low-power analog electronics and distributed software algorithms for inferring relevant behaviors from sensor data; develop novel interaction modalities involving bone conduction audio between the earpiece and its wearer, complemented by tactile interfaces on the earpiece, on the skin, or on auxiliary devices like a wristband or smartphone; and validate these approaches through user studies and experiments inside and outside the lab.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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