Avnera Corporation

Backbone Labs, Inc.

Other

Eric Sorensen

Amit Kumar

Shankar Rathoud

Manpreet Singh Khaira

Shawn O'Connor

Maneet Singh Khaira

Zachary Scott

Michael Jon Wurtz

Eric P Etheridge

Mike Wurtz

Jon Christopher Lake

Patrick A Quinn

Thomas Irrgang

Ozhan Maker

Frank Prestrelski

Richard Andrew Sorensen

Jiajin An

David B Wurtz

James E Scanlan

Samuel Boegli

Sydney Newton

Wei-Jun Wang

Cory Newton

David McNeill

A handheld gaming device in which configurations allow for default-open, force-close systems and separate the user's insertion of the mobile device and closure of the handles around the mobile device.

Open and close features for game controller bridge

A game controller for a mobile device having a first handle, a second handle, a bridge coupling the first handle to the second handle, and a magnetic connector. The first handle includes a user-accessible, first hardware interface configured to accept touch inputs. The second handle includes a user-accessible, second hardware interface configured to accept touch inputs. The magnetic connector is configured to magnetically retain a mobile device to the game controller.

Game controller with magnetic wireless connector

A gaming input device implements a method of adjusting input polling rate in various usage scenarios to optimize performance in light of scenario-specific considerations. The device detects a usage scenario and maps it to an optimized input polling rate, then requests the optimized input polling rate from associated firmware and hardware so an adjustment can be accomplished. The automated adjustment to polling rate accounts for problems associated with various usage scenarios, such as latency and power consumption, and allows for optimization specific to each scenario.

System and method for adjusting input polling rate in gaming input devices

Many headsets include automatic noise cancellation (ANC) which dramatically reduces perceived background noise and improves user listening experience. Unfortunately, the voice microphones in these devices often capture ambient noise that the headsets output during phone calls or other communication sessions to other users. In response, many headsets and communication devices provide manual muting circuitry, but users frequently forget to turn the muting on and/or off creating further problems as they communicate. To address this, the present inventors devised, among other things, an exemplary headset that detects the absence or presence of user speech, automatically muting and unmuting the voice microphone without user intervention. Some embodiments leverage relationships between feedback and feedforward signals in ANC circuitry to detect user speech, avoiding the addition of extra hardware to the headset. Other embodiments also leverage the speech detection function to activate and deactivate keyword detectors, and/or sidetone circuits, thus extending battery.

User voice activity detection

An apparatus can include an audio playback device configured to provide an audio output to a user, and a controller configured to: receive an initial playback position within the audio output; determine that an off-ear event has occurred; identify a time corresponding to the off-ear event; instruct the audio playback device to pause the audio output at the identified time; and calculate a new playback position within the audio output based at least in part on the identified time.

Automatic playback time adjustment

The disclosure includes a headset including one or more earphones and a connector configured to couple data and charge between the headset and a user equipment (UE). The headset also includes a charge node. The charge node includes a charge port for receiving UE charge from a charge source. The charge node also includes a downstream port for coupling audio data toward the earphones. The charge node further includes an upstream port for coupling the audio data toward the earphones via the downstream port and coupling UE charge from the charge port toward the UE via the connector.

Headset charger node

Disclosed is a signal processor for headphone off-ear detection. The signal processor includes an audio output to transmit an audio signal toward a headphone speaker in a headphone cup. The signal processor also includes a feedback (FB) microphone input to receive a FB signal from a FB microphone in the headphone cup. The signal processor also includes an off-ear detection (OED) signal processor to determine an audio frequency response of the FB signal over an OED frame as a received frequency response. The OED processor also determines an audio frequency response of the audio signal times an off-ear transfer function between the headphone speaker and the FB microphone as an ideal off-ear response. A difference metric si generated comparing the received frequency response to the ideal off-ear frequency response. The difference metric is employed to detect when the headphone cup is disengaged from an ear.

Headphone off-ear detection

A system including an automatic noise canceling (ANC) headphone and a processor. The ANC headphone has a microphone configured to generate a microphone signal and at least two non-zero ANC gain levels. The processor is configured to receive the microphone signal, determine a characteristic of the microphone signal, and identify a revised ANC level from the ANC gain levels based on a comparison of the characteristic to at least one threshold. Methods are also disclosed.

Active noise cancelation with controllable levels

A headphone having a speaker, a feedforward microphone, a feedback microphone, and an OED processor. The speaker is configured to transmit an audio playback signal based on a headphone audio signal. The feedforward microphone is configured to sense an ambient noise signal and transmit a feedforward microphone signal based at least in part on the ambient noise signal. The feedback microphone is configured to sense a total audio signal and transmit a feedback microphone signal based at least in part on the total audio signal, in which the total audio signal is the sum of the audio playback signal and at least a portion of the ambient noise level. The OED processor is configured to determine whether the headphone is off ear or on ear, based at least in part on the headphone audio signal, the feedforward microphone signal, and the feedback microphone signal.

Headphone with off-ear and on-ear detection

Many headsets include automatic noise cancellation (ANC) which dramatically reduces perceived background noise and improves user listening experience. Unfortunately, the voice microphones in these devices often capture ambient noise that the headsets output during phone calls or other communication sessions to other users. In response, many headsets and communication devices provide manual muting circuitry, but users frequently forget to turn the muting on and/or off, creating further problems as they communicate. To address this, the present inventors devised, among other things, an exemplary headset that detects the absence or presence of user speech, automatically muting and unmuting the voice microphone without user intervention. Some embodiments leverage relationships between feedback and feedforward signals in ANC circuitry to detect user speech, avoiding the addition of extra hardware to the headset. Other embodiments also leverage the speech detection function to activate and deactivate keyword detectors, and/or sidetone circuits, thus extending battery.

User voice activity detection methods, devices, assemblies, and components

A fixture for calibrating an active noise canceling (ANC) earphone, the calibration fixture including an ear model and an acoustic path. The ear model is configured to support an ANC earphone and includes an ear canal extending from an outer end of the ear canal to an inner end of the ear canal. The acoustic path is external to the ear canal and extends from, at a first end of the acoustic path, the inner end of the ear canal of the ear model to an opposite, second end of the acoustic path. The acoustic path is configured to transmit a mechanical sound wave received from the inner end of the ear canal to a region external to the ear model and adjacent the outer end of the ear canal.

Calibration and stabilization of an active noise cancelation system

A speaker system includes a case, an audio input, speakers, an accelerometer, and a computer processor. The audio input is structured to receive a program audio signal from an audio device. The speakers are configured to play an audio output based on the program audio signal, the audio output causing a vibration of the case. The accelerometer is configured to detect the vibration of the case as well as a user tap on the case. The computer processor is configured to identify a user gesture that includes the tap on the case, to identify the tap apart from the case vibration by processing the detected vibration of the case and the detected user tap on the case based on information from the program audio signal to separate the detected user tap from the detected vibration, and to commence a particular function associated with the user gesture.

Growing community of inventors

Portland, OR, United States of America

Eric Sorensen