Engineers Garage

  • Electronic Projects & Tutorials
    • Electronic Projects
      • Arduino Projects
      • AVR
      • Raspberry pi
      • ESP8266
      • BeagleBone
      • 8051 Microcontroller
      • ARM
      • PIC Microcontroller
      • STM32
    • Tutorials
      • Audio Electronics
      • Battery Management
      • Brainwave
      • Electric Vehicles
      • EMI/EMC/RFI
      • Hardware Filters
      • IoT tutorials
      • Power Tutorials
      • Python
      • Sensors
      • USB
      • VHDL
    • Circuit Design
    • Project Videos
    • Components
  • Articles
    • Tech Articles
    • Insight
    • Invention Stories
    • How to
    • What Is
  • News
    • Electronic Product News
    • Business News
    • Company/Start-up News
    • DIY Reviews
    • Guest Post
  • Forums
    • EDABoard.com
    • Electro-Tech-Online
    • EG Forum Archive
  • DigiKey Store
    • Cables, Wires
    • Connectors, Interconnect
    • Discrete
    • Electromechanical
    • Embedded Computers
    • Enclosures, Hardware, Office
    • Integrated Circuits (ICs)
    • Isolators
    • LED/Optoelectronics
    • Passive
    • Power, Circuit Protection
    • Programmers
    • RF, Wireless
    • Semiconductors
    • Sensors, Transducers
    • Test Products
    • Tools
  • Learn
    • eBooks/Tech Tips
    • Design Guides
    • Learning Center
    • Tech Toolboxes
    • Webinars & Digital Events
  • Resources
    • Digital Issues
    • EE Training Days
    • LEAP Awards
    • Podcasts
    • Webinars / Digital Events
    • White Papers
    • Engineering Diversity & Inclusion
    • DesignFast
  • Guest Post Guidelines
  • Advertise
  • Subscribe

STMicroelectronics Brings-in A More Accurate, Battery Friendly Motion Sensor Embedded With Machine Learning

By Shreepanjali Mod February 14, 2019

STMicroelectronics recently fused machine-learning technology in its highly advanced motion sensors. These new sensors will play a key role in changing the face of activity tracking in wearables and mobiles. Users and developers can now bid adieu to concerns like shorter battery life or low performance of devices due to motion sensors.

Fig. 1: Image Showing STMicroelectronic’s 6-axis iNEMO ™ IMU 
 
Named as LSM6DSOX iNEMO™, the sensor comes with a machine learning core that classifies motion data on the basis of patterns it acknowledged in till date. The basic concept that is in work here is that these sensors relieve the main processor from the initial phase of activity tracking. This saves lot of energy and also speeds up the motion based apps like the ones dealing with personal navigation, fall detection, wellness monitoring, as well as fitness logging.

The Vice-President of MEMS and Sensors Group at STMicroelectronics, Andrea  Onetti, adds, “Machine learning is already used for fast and efficient pattern recognition in social media, financial modelling, or autonomous driving. The LSM6DSOX motion sensor integrates machine-learning capabilities to enhance activity tracking in smartphones and wearables.”

Why Should You Consider It?

Because all equipment loaded with LSM6DSOX promise to deliver a very responsive, convenient, and an “always-on” user experience without compromising the battery runtime. The internal memory of this sensor is way ahead of its traditional counterparts. It has also been blessed with a state-of-the-art I3C digital interface that works efficiently at higher speeds permitting much longer periods between various sessions with main controller and much shorter connection timing for extra energy savings.

Features

The LSM6DSOX features a 3D MEMS gyroscope and a 3D MEMS accelerometer. Apart from the regular ones, it can also track complicated movements via machine learning core at a very low power consumption and battery load. The machine learning core works in team with integrated finite-state machine logic of sensor that takes care of complete movement pattern identification as well as vibration detection.

Developers forming activity-tracking entities with LSM6DOX can easily  teach the core for classification based on decision tree with the help of Weka. It will help in generation of limits and settings from sample data like magnetic angle, speed, and acceleration that characterize the kind of movements that need to be detected. 


Filed Under: News

 

Next Article

← Previous Article
Next Article →

Questions related to this article?
👉Ask and discuss on Electro-Tech-Online.com and EDAboard.com forums.



Tell Us What You Think!! Cancel reply

You must be logged in to post a comment.

EE TECH TOOLBOX

“ee
Tech Toolbox: Internet of Things
Explore practical strategies for minimizing attack surfaces, managing memory efficiently, and securing firmware. Download now to ensure your IoT implementations remain secure, efficient, and future-ready.

EE Learning Center

EE Learning Center
“engineers
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

HAVE A QUESTION?

Have a technical question about an article or other engineering questions? Check out our engineering forums EDABoard.com and Electro-Tech-Online.com where you can get those questions asked and answered by your peers!


RSS EDABOARD.com Discussions

RSS Electro-Tech-Online.com Discussions

  • Why can't I breadboard this oscillator?
  • Failure of polypropylene motor-run capacitors
  • a point I can't understand about the sinc expression
  • Quick advice on remote car starter?
  • Wideband matching an electrically short bowtie antenna; 50 ohm, 434 MHz

Featured – RPi Python Programming (27 Part)

  • RPi Python Programming 21: The SIM900A AT commands
  • RPi Python Programming 22: Calls & SMS using a SIM900A GSM-GPRS modem
  • RPi Python Programming 23: Interfacing a NEO-6MV2 GPS module with Raspberry Pi
  • RPi Python Programming 24: I2C explained
  • RPi Python Programming 25 – Synchronous serial communication in Raspberry Pi using I2C protocol
  • RPi Python Programming 26 – Interfacing ADXL345 accelerometer sensor with Raspberry Pi

Recent Articles

  • AC-DC power supply extends voltage range to 800 V DC
  • Infineon’s inductive sensor integrates coil system driver, signal conditioning circuits and DSP
  • Arm Cortex-M23 MCU delivers 87.5 µA/MHz active mode
  • STMicroelectronics releases automotive amplifiers with in-play open-load detection
  • Convection-cooled power controller integrates EtherCat connectivity

EE ENGINEERING TRAINING DAYS

engineering

Submit a Guest Post

submit a guest post
Engineers Garage
  • Analog IC TIps
  • Connector Tips
  • Battery Power Tips
  • DesignFast
  • EDABoard Forums
  • EE World Online
  • Electro-Tech-Online Forums
  • EV Engineering
  • Microcontroller Tips
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips
  • 5G Technology World
  • Subscribe to our newsletter
  • About Us
  • Contact Us
  • Advertise

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy

Search Engineers Garage

  • Electronic Projects & Tutorials
    • Electronic Projects
      • Arduino Projects
      • AVR
      • Raspberry pi
      • ESP8266
      • BeagleBone
      • 8051 Microcontroller
      • ARM
      • PIC Microcontroller
      • STM32
    • Tutorials
      • Audio Electronics
      • Battery Management
      • Brainwave
      • Electric Vehicles
      • EMI/EMC/RFI
      • Hardware Filters
      • IoT tutorials
      • Power Tutorials
      • Python
      • Sensors
      • USB
      • VHDL
    • Circuit Design
    • Project Videos
    • Components
  • Articles
    • Tech Articles
    • Insight
    • Invention Stories
    • How to
    • What Is
  • News
    • Electronic Product News
    • Business News
    • Company/Start-up News
    • DIY Reviews
    • Guest Post
  • Forums
    • EDABoard.com
    • Electro-Tech-Online
    • EG Forum Archive
  • DigiKey Store
    • Cables, Wires
    • Connectors, Interconnect
    • Discrete
    • Electromechanical
    • Embedded Computers
    • Enclosures, Hardware, Office
    • Integrated Circuits (ICs)
    • Isolators
    • LED/Optoelectronics
    • Passive
    • Power, Circuit Protection
    • Programmers
    • RF, Wireless
    • Semiconductors
    • Sensors, Transducers
    • Test Products
    • Tools
  • Learn
    • eBooks/Tech Tips
    • Design Guides
    • Learning Center
    • Tech Toolboxes
    • Webinars & Digital Events
  • Resources
    • Digital Issues
    • EE Training Days
    • LEAP Awards
    • Podcasts
    • Webinars / Digital Events
    • White Papers
    • Engineering Diversity & Inclusion
    • DesignFast
  • Guest Post Guidelines
  • Advertise
  • Subscribe