msgdetect_dataset | SQLite database with of accelerometer and keystroke data

msgdetect_dataset is a Python library. msgdetect_dataset has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

#Building a Labeled Data Set for Accelerometry Detection of Messaging. models.py contains the classes use to create the three tables, User, Accelerometer, and Keyboard. ###User User has two columns: id and device which describes the device used. The tables Accelerometer and Keyboard are connected to the User table through foreign keys. ###Accelerometer Accelerometer has five columns: id (primary key), timestamp, accel_x, accel_y, accel_z. ###Keyboard Keyboard has three columns: id (primary key), timestamp, key_press If the keypress is -4 that means the user sent the message, when it is at 0 the user was writing the message. ###Parsing Scripts parseCSVdevice.py is used to create the User table. It parses through one csv which has all the device each user used in the study. parseCSVaccel.py is used to create the Accelerometer table. There are 20 csv files names accel%d which contains the accelerometer data from each user. In table there three axes and a timestamp. Each axis is in m/s2. parseCSVkeyboard is use to create the Keyboard table. There are 20 csv files names keyboard%d which contains the keypress from each user.