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We introduce a system to measure individual happiness based on interpretingbody sensors on smartwatches. In our prototype system we use a Pebblesmartwatch to track activity, heartrate, light level, and GPS coordinates, andextend it with external information such as weather data, humidity, and day ofthe week. Training our machine learning-based mood prediction system usingrandom forests with data manually entered into the smartwatch, we achieveprediction accuracy of up to 94%. We find that besides body signals, theweather data exerts a strong influence on mood. In addition our system alsoallows us to identify friends who are indicators of our positive or negativemood.

"Making you happy makes me happy" -- Measuring Individual Mood with Smartwatches