Showing 2 open source projects for "activity recognition"

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    LSTMs for Human Activity Recognition

    LSTMs for Human Activity Recognition

    Human Activity Recognition example using TensorFlow on smartphone

    LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. 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.
    Downloads: 17 This Week
    Last Update:
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  • 2
    Activity Recognition

    Activity Recognition

    Resources about activity recognition

    ...Feature extraction method summaries (e.g. motion, sensor, vision). Deep learning for activity recognition references.
    Downloads: 0 This Week
    Last Update:
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