VibeSense360 Spatial Audio Sensor Enables Head Tracking for Wearables
The next-generation InvenSense VibeSense360 for spatial audio head tracking is based on the InvenSense lowest-power SmartMotion inertial measurement unit (IMU). It gives customers more design flexibility by adding more UI gestures specially designed for true wireless stereo (TWS) applications. It also runs multiple features including machine learning concurrently on the IMU. It can be used for in-ear buds, over-ear headphones, and wearables.
VibeSense360 provides an immersive and ultra-low-power spatial audio solution with TDK's lowest-power 6-axis IMU, with the addition of a head tracking solution at 280 µA. It detects when the user is speaking through bone conduction and can automatically shift from noise cancellation to transparency mode, as well as pause any audio that may be playing.
It assists with always-on microphones in detecting human voice activity through bone conduction, ensuring more secure, accurate, and ultra-low-power keyword detection while avoiding false triggers—even in noisy environments.
Users gain a smooth experience through always-on gesture detections like tap, double tap, triple tap, wide-area tap, head gestures like shake and nod, and activity/inactivity detection to trigger fitness/health monitoring.
Using TDK's machine learning algorithms built to run inside the IMU, VibeSense360 can train the device to recognize certain customized activities and gestures, assigning commands or actions to allow the user's head motion to control the TWS system.
Samples are available via direct inquiry with InvenSense sales.
Features:
- Lowest-power 6-axis IMU enables accurate head tracking for spatial audio
- On-chip accelerometer captures vocal vibration from the user to remove ambient audio disruption to enable keyword assist or transparency mode
- On-chip always-on gesture detections including tap, double tap, triple tap, wide-area tap, and head gestures such as shake and nod for smooth user control
- On-chip activity and inactivity detection for fitness/wellness monitoring
- Machine learning on-chip with significant power savings over on-processor/MCU
TDK InvenSense | TDK Corporation
San Jose, CA
(408) 501-2200
[email protected]
tdk.com
