Activity recognition is one of the most common and requested in nowadays personal electronics landscape, especially as regards the wearable market. For this reason, this Community icon is the rendering of a typical personal electronic user. Activity recognition is also a key bridge for the use of STM32 embedded AI.
MotionAR library provides real-time information on the type of activity you are performing. It is able to distinguish and classify among the following activities: no activity (0), stationary (1), walking (2), fast walking (3), jogging (4), biking (5), driving (6), managing the data acquired from accelerometer.
Next post will detail the calibration algorithm with some high level function explanation :soon_arrow:
Reference:
https://www.st.com/content/ccc/resource/technical/document/user_manual/group0/41/35/c2/e3/cb/f6/47/5d/DM00383387/files/DM00383387.pdf/jcr:content/translations/en.DM00383387.pdf
