Showing 4 open source projects for "activity recognition"

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  • 1
    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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  • 3

    ADL mining framework

    A set of applications for the mining of Activities of Daily Living

    The recognition of Activities of Daily Living (ADL) has represented one of the most developed research areas in recent years. Its objective is to determine what daily activity is developed by the inhabitants of a smart environment. In this project, an ontology-based framework for the mining of ADL with a generic ontology and a modular architecture is proposed.
    Downloads: 0 This Week
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  • 4
    android-activity-miner

    android-activity-miner

    Activity-Miner for Android

    A mobile application to create accelerometer based activity recognition models directly on the phone. The configuration of the segmentation and feature extraction process chain requires expert knownledge. The prototype was developed in 2012 in a bachelor thesis at the University of Kassel and was optimized and enhanced for an experiment in 2015.
    Downloads: 0 This Week
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