This project aims to enable a visually impaired swimmer to train with more independence than currently allowed by other solutions. The final device prototype consists of a smartphone application that leverages various hardware components within a smartphone, such as the video camera and the gyroscope. These hardware components are used to track the visually impaired swimmer in a reliable manner and notify the swimmer if they have deviated to a side or if they are approaching the end of their lane. The final prototype uses machine vision to track a swimmer's position relative to the black 'T' shaped line on the bottom of a standard competitive swimming pool. A device prototype is created and tested to demonstrate the proof of concept for the device design and algorithm. The in-water device testing demonstrates the success of the prototype in real-world scenarios and highlights opportunities for further device improvements.

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2018 IEEE Life Sciences Conference, LSC 2018
Department of Systems and Computer Engineering

Oommen, J. (Jonathan), Bews, D. (David), Hassani, M.S. (Mohsen Sheikh), Ono, Y. (Yuu), & Green, J. (2018). A wearable electronic swim coach for blind athletes. In 2018 IEEE Life Sciences Conference, LSC 2018 (pp. 219–222). doi:10.1109/LSC.2018.8572105