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ActivityClassification

Using Machine Learning classification models like Logistic Regression, SVM, Decision Trees, Random Forests, and Multi-Layer Perceptron to classify human activities such as sitting, walking, running, cycling, sleeping, etc on the basis of using heart rate data and IMU readings from a user’s hand, chest, and ankle.

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Using Machine Learning classification models like Logistic Regression, SVM, Decision Trees, Random Forests, and Multi-Layer Perceptron to classify human activities such as sitting, walking, running, cycling, sleeping, etc on the basis of using heart rate data and IMU readings from a user’s hand, chest, and ankle.

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  • Python 100.0%