Sensor Fusion App; Figure 29. Pedometer App - Step Count - ST STEVAL-MKSBOX1V1 User Manual

How to use the wireless multi sensor development kit with customizable app for iot and wearable sensor applications
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The accuracy of the Pedometer is Mean Absolute Percentage Error (MAPE)=97.5% with sigma=5 thanks to the
high precision of the
These parameters are appropriate to capture human movement, filter unwanted noise and save battery energy to
extend the potential working time.
The app works with the following ST high accuracy acceleration sensor and operating parameter settings:
APP DATA INPUT: 3-axis acceleration values
SENSOR USED:
SENSOR SETTINGS:
Low power mode accelerometer
Power down gyroscope
Output data rate: 52 Hz
Full scale: 4 g
APP DATA OUTPUT:
Number of steps
Cadence (number of steps per minute)
3.1.8

Sensor Fusion app

The Sensor Fusion app is based on the sensor fusion firmware algorithm (MotionFX library) embedded in the
MCU.
The app shows the orientation estimation of
UM2580 - Rev 5
Figure 29.
Pedometer app - step count
LSM6DSOX
3-axis MEMS accelerometer
LSM6DSOX
(accelerometer)
Sensortile.box
in the 3D space.
UM2580
Mode 1 example apps
page 25/41

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