• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Microcontroller Tips

Microcontroller engineering resources, new microcontroller products and electronics engineering news

  • Products
    • 8-bit
    • 16-bit
    • 32-bit
    • 64-bit
  • Applications
    • 5G
    • Automotive
    • Connectivity
    • Consumer Electronics
    • EV Engineering
    • Industrial
    • IoT
    • Medical
    • Security
    • Telecommunications
    • Wearables
    • Wireless
  • Learn
    • eBooks / Tech Tips
    • EE Training Days
    • FAQs
    • Learning Center
    • Tech Toolboxes
    • Webinars/Digital Events
  • Resources
    • Design Guide Library
    • LEAP Awards
    • Podcasts
    • White Papers
  • Videos
    • EE Videos & Interviews
    • Teardown Videos
  • EE Forums
    • EDABoard.com
    • Electro-Tech-Online.com
  • Engineering Training Days
  • Advertise
  • Subscribe

Configurable sensor fusion software platform adds high-precision sensing to wearables

September 28, 2020 By Redding Traiger Leave a Comment

MotionEngine HearCEVA, Inc. introduced the Hillcrest Labs MotionEngine Hear, a sensor, and processor agnostic embedded software solution for hearable devices.

System-on-Chip (SoC) vendors, OEMs and ODMs can utilize MotionEngine Hear to deliver a frictionless user interface, gesture control, activity tracking and spatial audio for a range of smart personal audio devices, including true wireless stereo (TWS) earbuds, audio headsets, hearing aids, and AR glasses. The software is offered for the CEVA-BX1 and CEVA-BX2 DSPs, Arm Cortex-M series and RISC-V cores that are incorporated in a broad range of Bluetooth SoCs and MCUs targeted for hearable devices. MotionEngine Hear supports a broad range of commercial accelerometers, gyroscopes and proximity sensors from the leading sensor suppliers including STMicroelectronics, Bosch-Sensortec, TDK InvenSense, and others.

MotionEngine Hear offers a large portfolio of sensor-based user interface, gesture and activity tracking features, including tap, in-ear detection, step counter, walk/run/still activity classifiers and head-tracking to enable spatial audio applications. The software has been extensively stress-tested and was benchmarked against a leading OEM’s TWS earbuds, outperforming the incumbent solution for key features including tap and double-tap accuracy and in-ear detection.

The demand for TWS earbuds and other hearable devices continues to soar, with WiFore Wireless Consulting forecasting that more than 630 million devices are expected to ship by 2025. In Qualcomm’s recently published “State of Play Report 2020”, context awareness is identified as a key area of interest by consumers for wireless headphones and earbuds, enabling longer battery life and a better user experience through automatic adaptation to the current user activity or device state. The MotionEngine Hear software delivers sensor-based features that are essential to these context-aware devices, while requiring sub-milliamp level power draw for the whole system.

MotionEngine Hear is offered in two versions, both of which are flexible to meet customer requirements:

  • MotionEngine Hear Core
    • Enables context awareness with activity classification, including walking, running and still
    • Offers improved UI control with tap and double tap
    • Controls playback and saves power with accelerometer-only in-ear detection
    • Tracks fitness activity with step counter, activity detection, and distance and calorie estimates
    • Sensor requirement: accelerometer-only
  • MotionEngine Hear Premium – includes all the features of Core version, in addition to:
    • Essential support for spatial audio with highly accurate 3D head-tracking
    • Advanced in-ear detection using accelerometer and/or proximity detection
    • Sensor requirement: accelerometer, gyroscope and proximity sensor

MotionEngine Hear is available for licensing today.

 

You may also like:


  • Medical image signal processor boards optimized for endoscopes, catheters
  • green artificial intelligence
    How “green” is your Artificial Intelligence?

  • Ultra-high-rez image sensors target smartphone apps
  • SPI protocol
    How does the SPI protocol work?

  • AI computing hardware/software products target AI edge apps

Filed Under: AR/VR, Connectivity, Consumer Electronics, Medical, Sensor modules, Software, Wearables Tagged With: ceva, cevainc

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

Featured Contributions

Can chiplets save the semiconductor supply chain?

Navigating the EU Cyber Resilience Act: a manufacturer’s perspective

The intelligent Edge: powering next-gen Edge AI applications

Engineering harmony: solving the multiprotocol puzzle in IoT device design

What’s slowing down Edge AI? It’s not compute, it’s data movement

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: Connectivity
AI and high-performance computing demand interconnects that can handle massive data throughput without bottlenecks. This Tech Toolbox explores the connector technologies enabling ML systems, from high-speed board-to-board and PCIe interfaces to in-package optical interconnects and twin-axial assemblies.

EE Learning Center

EE Learning Center

EE ENGINEERING TRAINING DAYS

engineering
“bills
“microcontroller
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

Footer

Microcontroller Tips

EE World Online Network

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips

Microcontroller Tips

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2026 · WTWH Media LLC and its licensors. 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