In some real cases, it is important to know in real-time how long an activity lasts, and if the activity is running in a particular moment.
MotionAT matches the target, being a middleware library that combines results from activity recognition for wrist, motion intensity detection and pedometer for wrist algorithms. It directly provides real-time information about the number of active seconds (that is how long the user was active with the wearable device as a smart watch).
The library acquires data from the accelerometer and provides information about the number of active seconds (how long the user was active) with the wearable device. Recognition is based on accelerometer data only, and requires accelerometer data sampling frequency of 50 Hz.
Next post will deal with the calibration algorithm with some high-level function explanation :soon_arrow:
