Invention Title:

Gesture-Based Control Using Active Acoustic Sensing

Publication number:

US20260164162

Publication date:
Section:

Electricity

Class:

H04R1/1041

Inventors:

Assignee:

Applicant:

Drawings (4 of 25)

Smart overview of the Invention

Techniques and apparatuses for gesture-based control using active acoustic sensing are introduced. This method involves transmitting and receiving acoustic signals to recognize gestures, enabling control of hearables or connected devices without voice or touch. This approach offers a discreet, socially acceptable interface, enhancing accessibility for users with disabilities or physical limitations.

Background

Wireless technology, especially hearables like earbuds and headphones, is increasingly popular. While these devices provide freedom of movement for audio consumption, there is a demand for additional features without hardware modifications. Traditional interfaces like touch or voice can be cumbersome or impractical in certain situations, prompting the need for alternative control methods.

Gesture Recognition

Gesture recognition through active acoustic sensing involves detecting muscle or object-based gestures by analyzing changes in acoustic signals within the ear canal. This method supports a hands-free, voice-free interface, enhancing user experience and accessibility. It allows control of hearables and connected devices in various environments without additional hardware.

Technical Implementation

The hearable performs a process called audioplethysmography, using acoustic signals to detect physiological changes in the ear. By forming an acoustic circuit, the hearable can identify gestures based on modified waveform characteristics. This technique improves signal quality and gesture recognition performance compared to passive methods, reducing interference from environmental noise.

Advantages

Active acoustic sensing for gesture recognition offers a more efficient and unobtrusive user interface. It enables smaller, cost-effective hearables without compromising functionality. By enhancing signal quality and reducing power usage, this method makes advanced gesture recognition accessible to a broader audience, improving overall usability and user satisfaction.