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MadhavShashi/Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet

By MadhavShashi

Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

GitHub Jupyter Notebook Updated 31 May 2026

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Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

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