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Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
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.
Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
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.
Gait-based Human Identification through Minimum Gait-phases and Sensors
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.
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