If you’re looking for cool dataset from smartphones than you should check this kaggle competition – Human Activity Recognition with Smartphones
Short description:
“The Human Activity Recognition database was built from the recordings of 30 study participants performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. The objective is to classify activities into one of the six activities performed.”
“Attribute information
For each record in the dataset the following is provided:
- Triaxial acceleration from the accelerometer (total acceleration) and the estimated body acceleration.
- Triaxial Angular velocity from the gyroscope.
- A 561-feature vector with time and frequency domain variables.
- Its activity label.
- An identifier of the subject who carried out the experiment.”
There are two csv files – train and test, in total ~25MB.