Showing 1 open source project for "smartphone"

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    LSTMs for Human Activity Recognition

    LSTMs for Human Activity Recognition

    Human Activity Recognition example using TensorFlow on smartphone

    ...The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. Through the use of sequential neural network architectures, the system learns patterns in motion data that correspond to activities such as walking, sitting, standing, or climbing stairs. The repository includes data preprocessing scripts, neural network architecture definitions, and training pipelines that allow researchers to reproduce and modify the experiments. ...
    Downloads: 0 This Week
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