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Detecting intense impacts in wearables and sports trackers with LSM6DSV80X

Denise SANFILIPPO
ST Employee

Introduction

This article offers an overview of the 6-axis inertial measurement unit (IMU) LSM6DSV80X. It is designed for precise evaluation of users' performance during sports activities, thanks to its multiple full scales from 2 g up to 80 g.
A specific scenario, playing volleyball, is examined.

1. Hardware setup

ST offers a range of affordable evaluation boards that can accommodate the LSM6DSV80X using an adapter board, as illustrated in the figure below. These include the professional MEMS tool (STEVAL-MKI109D) and SensorTile.box PRO (STEVAL-MKBOXPRO).
The hardware setup used for this demo is made up of:

Figure 1: Hardware setup: wristband with SensorTile.box PROFigure 1: Hardware setup: wristband with SensorTile.box PRO

 


2. Data logging with LSM6DSV80X and SensorTile.box PRO

The user wears the wristband with a SensorTile.box PRO and a LSM6DSV80X DIL24 adapter board (as shown in Figure 1) while playing volleyball.
During the match, data logging is performed, and the measurements are saved on the microSD™ card of the SensorTile.box PRO.
After the match, data is processed. Here is the resulting line chart which shows the acceleration along the x-axis (red line), along the y-axis (green line) and along the z-axis (light-blue line): 

Figure 2: Acceleration measurements taken while playing volleyballFigure 2: Acceleration measurements taken while playing volleyball

 

In the line chart shown in Figure 2, you can identify peaks that correspond to actions where the ball contacts the user's hand. You can see how the impact causes and acceleration slightly lower than 80 g, which the LSM6DSV80X detects.

3. The added value of LSM6DSV80X

Edge AI embedded inside LSM6DSV80X, such as a machine learning core (MLC), can be trained by performing data logging. It is done in this demo to measure spike force progress up to 80 g.
The result is the collection of ball-hand contact time and acceleration for a more comprehensive analysis of playing volleyball.
By processing raw data locally, the LSM6DSV80X can autonomously recognize the wearer's activities, simplifying host communications for quicker responses and reduced power consumption. This allows an accurate assessing of the user's performance.

Conclusion

Sports like volleyball can benefit from precise impact measurements to evaluate how accurately athletes perform their exercises.
This enables a more comprehensive analysis of performing sports.

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Version history
Last update:
‎2025-03-27 2:32 AM
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