Physical Activity Recognition Dataset

The dataset contains information from the Accelerometer sensor of smartphones. Twelve volunteers participated in the experiment and they were grouped into different four groups(three participants for each group) for federated machine learning research. The dataset contains the x-axis, y-axis, z-axis coordinates of the sensor with the activity performed by the subject, position of the phone, and the corresponding timestamp in two formats. The dataset was recorded at a frequency of 50Hz.