The dataset includes accelerometer data from four devices. Device 0 is a real Actigraph GT9X device configured at 80Hz and 8g. Device 1 to 3 are simulated data from the data of device 0 using function simulate_new_data. Data for device 0 is a random selected nondominant wrist data from a participant doing Jumping jack. The data is manipulated to insert an artificial impulse to demonstrate the effect of the MIMS-unit algorithm when dealing on it.

conceptual_diagram_data

Format

A data frame with 1704 rows and 5 variables:

HEADER_TIME_STAMP

The timestamp of raw accelerometer data, in POSIXct

X

The x axis value of raw accelerometer data, in number

GRANGE

The dynamic range of the simulated device in g, in number

SR

The sampling rate in Hz of the simulated device, in number

NAME

An alternative name that is friendly for plotting for different devices, in character

Source

https://github.com/qutang/MIMSunit