Skip to main content
ST Employee
June 24, 2019
Question

AppMEMS#6: The X-CUBE-MEMS1 libraries in detail - MotionAR application

  • June 24, 2019
  • 1 reply
  • 547 views

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

    This topic has been closed for replies.

    1 reply

    ST Employee
    June 24, 2019

    0690X000008j84CQAQ.png