The broader impact/commercial potential of this I-Corps project is to leverage fabric-based technologies to create functional apparel that can track body movements and in return analyze exercise technique, track performance, and identify likelihood of injuries. The global sports apparel market is currently a $200 billion dollar industry, yet the focus in apparel technologies have been on incremental improvements on material properties and optimizing manufacturability. Therefore, consumers rely on other technologies to inform them of their fitness levels which has corresponded to a dramatic rise in smart watch sales, doubling every year since 2015. Even so, athletes still rely on coaching, personal trainers, and physical therapy for exercise guidance. There is no single platform in which consumers can access data on their health given the disparate fitness markets. The technology pursued in this I-Corps project aims to combine these value propositions directly into users' clothing by leveraging new sewing technologies to embed fabric-based electronics for motion sensing.

This I-Corps project aims to advance the scope and application of wearable technologies by re-inventing traditional sewing methodologies. Using a combination of new conductive materials and fibers, electrically active threads can be sewn into clothing using tradition sewing machines without much disturbance in apparel manufacturability. Over lays and patterning of different conductive fibers can produce various functional fabric-based sensors such as pressure, bend, or stretch responsive sensors. These sensing mechanisms can then be harnessed to directly measure the movement of the clothed joint or body part. Currently a custom algorithm is being developed to analyze these new datasets in order to extract relevant metrics such as exercise technique, effort level, and eventually machine learn likelihood of injuries or provide user-specific feedback.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Project Start
Project End
Budget Start
2019-09-01
Budget End
2022-02-28
Support Year
Fiscal Year
2019
Total Cost
$50,000
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139