BigO is an International European research project to fight against obesity (Big Data against childhood obesity, you can read more at http://bigoprogram.eu). Through the myBigO app activity data together with information about mood, and pictures of meal and food advertisement was collected from volunteers. It contains raw data from sensors, pre-processed data and self-reported data. Sensor data includes location data and recorded signals from:
- Accelerometer: Measures the acceleration force in m/sec 2 that is applied to a device on all three physical axes (x, y, and z), including the force of gravity.
- Barometer: Measures the ambient air pressure in hPa or mbar.
- Light: Measures the ambient light level (illumination) in lx.
- Proximity sensor: Measures the proximity of an object in cm relative to the view screen of a device. This sensor is typically used to determine whether a handset is being held up to a person's ear.
- Relative humidity sensor: Measures the relative ambient humidity in percent (%).
- Thermometer: Measures the ambient room temperature in degrees Celsius (°C).
The processed data contains the recognised physical activity (steps, walking, jogging, biking…), recognized visited points-of-interest (POI) and recognized transportation mode for trips between detected POIs (foot, bike, car, bus, train).
The self-reported data contains the pictures of meals and food advertisement together with the mood.
A brief overview of the data is available at https://www.youtube.com/watch?v=fDeMyLUgiOg