18 July 2012 MEMS sensor targets motion detection in smartphones and tablets Aiming to speed the development of wearable sensor applications, STMicroelectronics has unveiled a miniature 6 axis MEMS sensor device with motion recognition capabilities. Designed to initiate applications by identifying specific gestures, the LSM330 module houses a 3 axis digital gyroscope and a 3 axis digital accelerometer with two embedded finite state machines to enable custom motion recognition. The inertial module detects acceleration up to 16g and angular rate up to 2,000dps along the pitch, roll and yaw axes. The company says that the integration of high resolution linear and angular motion sensing in a single device increases system robustness and stability. The multi sensor is designed for applications such as motion activated user interfaces in phones and tablets, augmented reality and location based services. To address the power constraints of these portable devices, the module includes power down and sleep modes and an embedded fifo memory block. It is designed to operate with any supply voltage over the range of 2.4 to 3.6V. Author Simon Fogg Comment on this article Websites http://www.st.com Companies STMicroelectronics This material is protected by Findlay Media copyright See Terms and Conditions. One-off usage is permitted but bulk copying is not. For multiple copies contact the sales team. Enjoy this story? People who read this article also read... Southern Manufacturing This year, Southern Manufacturing and Electronics is set to be ... Read Article Claire Jeffreys, NEW Claire Jeffreys, events director, National Electronics Week, ... Read Article Arrow buys Nu Horizons Arrow is buying Nu Horizons in an all cash deal which values the ... Read Article NIDays 2013 NIDays is a technical conference designed specifically for ... Read Article What you think about this article: Add your comments Name Email Comments Your comments/feedback may be edited prior to publishing. Not all entries will be published. Please view our Terms and Conditions before leaving a comment.