2026-10-11T21:18:29Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33977944 2026-09-30T00:22:31Z category_26299 portal_12 item_type_5 month_year_09_2026

Amir Hossein Ebrahimi: Towards Real-Time Haptic Feedback for Elite Swimmers Amir Hossein Ebrahimi (22668248) Masoumeh Hesam Mahmoudinezhad (5769329) Iain Anderson (1195290) Biomedical engineering not elsewhere classified IMU Deep learning motion capture real-time <p dir="ltr">We are developing a technology to give an elite swimmer fast feedback on their swimming style. In this first stage we describe a real-time body motion capture system for the water. This will fill a critical gap for water sports training that is limited due to the current usage of camera-based systems. In this first step we capture the swimmer’s motion. Our technology is based on Inertial Measurement Unit (IMU) based methods coupled with recurrent neural networks.</p> 2026-09-30T00:22:31Z Image Poster 10.17608/k6.auckland.33977944.v2 https://figshare.com/articles/poster/Towards_Real-Time_Haptic_Feedback_for_Elite_Swimmers/33977944 CC BY 4.0