![]() Use Apple’s Core ML library in order to predict the outcomes for a given data set using Swift.Prerequisites in order to conduct all steps explained in this article (including the version number that the code was tested with): #HUMAN ACTIVITY DETECTION MATLAB CODE CODE# Out of scope for this article: The creation of the perfect machine learning model with the highest possible performance for this type of problem statement is not the focus of this walkthrough. You might wonder why Keras was chosen for this article over other frameworks, namely TensorFlow. Keras is very simple to learn and has a modern, more intuitive API than TensorFlow while still leveraging the capabilities of TensorFlow in the backend.There are multiple TensorFlow APIs while trying to use the more convenient estimator API (which is also recommended by the TensorFlow team - you can find more information here) I ran into compilation issues when converting the trained estimator to Core MLīefore we walk through the different steps in Python and Xcode, let’s take a brief look at the problem statement and our solution approach.The data set that we are using is a collection of accelerometer data taken from a smartphone that various people carried with them while conducting six different exercises (Downstairs, Jogging, Sitting, Standing, Upstairs, Walking). For each exercise the acceleration for the x, y, and z axis was measured and captured with a timestamp and person ID. With this available data, we would like to train a neural network in order to understand if a person carrying a smartphone is performing any of the six activities. Once the neural network has been trained on the existing data, it should be able to correctly predict the type of activity a person is conducting when given previously unseen data. The solution to this problem is a deep neural network. #HUMAN ACTIVITY DETECTION MATLAB CODE HOW TO#īased on the available data it will learn how to differentiate between each of the six activities. We can then show new data to the neural network and it will tell us what the user is doing at any particular point in time. #HUMAN ACTIVITY DETECTION MATLAB CODE CODE#.#HUMAN ACTIVITY DETECTION MATLAB CODE HOW TO#. ![]()
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