Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network
Published in 2022 7th International Conference on Business and Industrial Research (ICBIR), 2022
This research presents a novel insight on gait disorder detection using transfer learning algorithms on sensor-acquired data.
Authors: Mahdi Islam, Musarrat Tabassum, Mirza Muntasir Nishat, Fahim Faisal, Muhammad Sayem Hasan
Venue: 2022 7th International Conference on Business and Industrial Research (ICBIR)
Recommended citation: Mahdi Islam, Musarrat Tabassum, Mirza Muntasir Nishat, Fahim Faisal, Muhammad Sayem Hasan. "Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network", 2022 7th International Conference on Business and Industrial Research (ICBIR), Pages 717-722, IEEE.
Recommended citation: Mahdi Islam, Musarrat Tabassum, Mirza Muntasir Nishat, Fahim Faisal, Muhammad Sayem Hasan. "Real-time clinical gait analysis and foot anomalies detection using pressure sensors and convolutional neural network", 2022 7th International Conference on Business and Industrial Research (ICBIR), Pages 717-722, IEEE.