1 / 3

Compact Inertial Measurement Unit for 3D Motion Detection in Wireless Applications

This advanced Compact Inertial Measurement Unit (IMU) features a complete sensor set that includes 3 accelerometers and 3 gyroscopes, designed for effective 3D motion detection. With a high-resolution 12-bit ADC and a microcontroller, the IMU operates at a low power consumption of just 75mW and supports a data link of 19.2 kBps in both wired and wireless modes. Originally developed for human gesture recognition at MIT Media Lab as part of a Master’s thesis, this device enables direct sensing, low-complexity algorithms, and supports gesture analysis for various applications.

quade
Télécharger la présentation

Compact Inertial Measurement Unit for 3D Motion Detection in Wireless Applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Compact Inertial Measurement Unit • Full sensor set for 3D motion detection in compact wireless package. • Implementation • 3(+1) Accelerometers • 3 Gyroscopes • 12-bit ADC/Microcontroller • 19.2 kBps link (wired & wireless) • Low-power (75mW) • Originally used for human gesture recognition (next slide) • Built at MIT Media Lab by Ari Y. Benbasat in 2000

  2. AYB Master’s Thesis Work • Create analysis and interpretation framework for inertial devices: • Analysis: Activity detection • Gesture Recognition: Parameterized atomic gestures • Output Scripting: Links gestures to outputs • Benefits: • Allows direct, in situ sensing of quantities of interest • Low complexity of algorithms allows for stand-alone devices Project Organization

  3. Sample Gesture Analysis Perform Gestures and Collect Data Find Areas of Activity y x (no rotation) Run Recognition Recombine Atomic Output 2 Peaks = + = = 3 Peaks

More Related