no code implementations • 28 Feb 2022 • Muhammad Zeeshan Arshad, Ankhzaya Jamsrandorj, Jinwook Kim, Kyung-Ryoul Mun
The results showed that the use of CNN-RNN hybrid models with Attention and Bidirectional mechanisms is promising for accurate gait event detection using a single waist sensor.
no code implementations • 15 Oct 2021 • Muhammad Zeeshan Arshad, Dawoon Jung, Mina Park, Kyung-Ryoul Mun, Jinwook Kim
It was shown that it is possible to achieve high accuracy of over 95. 5 percent by monitoring a single phase of the whole gait cycle through only a single sensor.
no code implementations • 15 Oct 2021 • Muhammad Zeeshan Arshad, Dawoon Jung, Mina Park, Hyungeun Shin, Jinwook Kim, Kyung-Ryoul Mun
In this paper, it is shown that by encoding gait signals as images, deep learning-based models can be utilized for the classification of gait type.