How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition

From: https://machinelearningmastery.com/cnn-models-for-human-activity-recognition-time-series-classification/ Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting features from the time series data based on fixed-sized windows and training machine learning models, such as ensembles of decision trees. The … Continue reading How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition