Enable richer end-user interaction by leveraging sensor and audio data to develop better user interfaces.
Protect sensitive user data by collecting, processing and providing real-time insights directly on-device.
Reduce power budget by running efficient algorithms on-device without having to send data to the cloud for further analysis.
Always-on wake word detection for simple headset commands such as “on,” “off,” “play,” and “stop.”
Detect head movement through accelerometer and gyroscope sensors to perform actions such as controlling headset volume.
Use motion, radar and capacitive touch sensors to accurately classify human gestures and enhance the user experience.
Provide real-time feedback via sensors or images for exercise classification, form improvement and more to prevent user injury and improve their skill levels.
Analyze athlete performance using heart rate, blood oxygen concentration and movement to provide accurate feedback on calories burned and other fitness metrics.
Reliably detect ambient sounds of interest such as a baby crying, fire alarms, and glass breaking, even in noisy environments.
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