Qualitative Activity Recognition of Weight Lifting Exercises. Classifier to predict if exercise has been done correctly.
Qualitative Activity Recognition of Weight Lifting Exercises. In this experiment, we will use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. They were asked to perform barbell lifts correctly and incorrectly in 5 different ways: - Class A: exactly according to the specification - Class B: throwing the elbows to the front - Class C: lifting the dumbbell only halfway - Class D: lowering the dumbbell only halfway - Class E: throwing the hips to the front The goal of this experiment is to predict the manner in which people did the exercise. This is the classe variable in the data set. More information is available from the website here: http://groupware.les.inf.puc-rio.br/har (see the section on the Weight Lifting Exercise Dataset). This classifier has been build trying to rebuild the model build in R for the Practical Machine Learning course on Coursera: http://mdragt.github.io/machinelearning/ More information can be found here: http://www.md2c.nl/azure-machine-learning-qualitative-activity-recognition-of-weight-lifting-exercises/