Validation of an inertial-based contact and swing time algorithm for running analysis from a foot mounted IoT enabled wearable

Fraser Young, Samuel Stuart, Rosie Morris, Craig Downs, Martin Coleman, Alan Godfrey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

Running gait assessment for shoe type recommendation to avoid injury often takes place within commercial premises. That is not representative of a natural running environment and may influence normal/usual running characteristics. Typically, assessments are costly and performed by an untrained biomechanist or physiotherapist. Thus, use of a low-cost assessment of running gait to recommend shoe type is warranted. Indeed, the recent impact of COVID has heightened the need for a shift toward remote assessment in general due to social-distancing guidelines and restriction of movement to bespoke assessment facilities. Mymo is a Bluetooth-enabled, inertial measurement unit (IMU) wearable worn on the foot. The wearable transmits inertial data via a smartphone application to the Cloud, where algorithms work to recommend a running shoe based upon the users/runner’s pronation and foot-strike location/pattern. Here, an additional algorithm is presented to quantify ground contact time and swing/flight time within the Mymo platform to further inform the assessment of a runner’s gait. A large cohort of healthy adult and adolescents (n=203, 91M:112F) were recruited to run on a treadmill while wearing the Mymo wearable. Validity of the inertial-based algorithm to quantify ground contact time was established through manual labelling of reference standard ground truth video data, with a presented accuracy between 96.6-98.7% across the two classes with respect to each foot.
Original languageEnglish
Title of host publication2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
EditorsRiccardo Barbieri
Place of PublicationPiscataway, US
PublisherIEEE
Pages6818-6821
Number of pages4
ISBN (Electronic)9781728111797, 9781728111780
ISBN (Print)9781728111803
DOIs
Publication statusPublished - 1 Nov 2021
Event43rd Annual International Conference of the IEEE-EMBS, Engineering in Medicine and Biology Society -
Duration: 30 Oct 20215 Nov 2021
https://embc.embs.org/2021/

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
PublisherIEEE
ISSN (Print)2375-7477
ISSN (Electronic)2694-0604

Conference

Conference43rd Annual International Conference of the IEEE-EMBS, Engineering in Medicine and Biology Society
Period30/10/215/11/21
Internet address

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