Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for location-tracking wireless devices. In an embodiment, a method performed by an electronic device comprises: playing, or initiating the playing of, a sound through a loudspeaker of an accessory device via a communication link. The sound is played at a specified frequency that utilizes a frequency response of the loudspeaker (or loudspeaker plus speaker enclosure). The sound is received through two or more microphones of the electronic device and filtered by one or more filters. The one or more filters are configured to pass the sound at or around the specified frequency and to reduce masking of the sound by ambient noise. The filtered sound is associated with direction data generated from sensor data provided by one or more inertial sensors of the electronic device. In another embodiment, the specified frequency is higher than the maximum human hearing range.

Abstract: An electronic device that can be worn on a limb of a user can include a processing device and one or more position sensing devices operatively connected to the processing device. The processing device can be adapted to determine which limb of the user is wearing the electronic device based on one or more signals received from at least one position sensing device.

Abstract: A wearable device that attaches to a body part of a user via an attachment member operates in at least a connected and a disconnected state. One or more sensors located in the wearable device and/or the attachment member detect the user's body part when present. Such detection may only be performed when the attachment member is in a connected configuration and may be used to switch the wearable device between the connected and disconnected states. In this way, the wearable device operates in the connected state when worn by a user and in the disconnected state when not worn by the user.

Abstract: A wearable device configured to acquire and process electrocardiographic measurements, detect lead inversion and correct the acquired measurements for lead inversion is provided. In one example, the wearable device can detect lead inversion by first assessing whether the P-wave of a given electrocardiographic measurement has a negative amplitude, and if the P-wave is found to be negative, the device can determine if the magnitude of the R-wave is smaller than the maximum of the magnitudes of the S-wave and the Q-wave. In another example, the device can be put through an enrollment procedure in which electrocardiographic measurements are taken with the device being worn at known locations on the body. Once the enrollment procedure is completed, when the device is being used, any electrocardiographic results obtained can be compared against the measurements taken during the enrollment phase, and the location of the device on the body can be determined.

Abstract: A wearable device that attaches to a body part of a user via an attachment member operates in at least a connected and a disconnected state. One or more sensors located in the wearable device and/or the attachment member detect the user's body part when present. Such detection may only be performed when the attachment member is in a connected configuration and may be used to switch the wearable device between the connected and disconnected states. In this way, the wearable device operates in the connected state when worn by a user and in the disconnected state when not worn by the user.

Abstract: An audio system has a housing in which are integrated a number of microphones. A programmed processor accesses the microphone signals and produces a number of acoustic pick up beams based groups of microphones, an estimation of voice activity and an estimation of noise characteristics on each beam. Two or more beams including a voice beam that is used to pick up a desired voice and a noise beam that is used to provide information to estimate ambient noise are adaptively selected from among the plurality of beams, based on thresholds for voice separation and thresholds for noise-matching. Other embodiments are also described and claimed.

Abstract: An automatic speech recognition (ASR) triggering system, and a method of providing an ASR trigger signal, is described. The ASR triggering system can include a microphone to generate an acoustic signal representing an acoustic vibration and an accelerometer worn in an ear canal of a user to generate a non-acoustic signal representing a bone conduction vibration. A processor of the ASR triggering system can receive an acoustic trigger signal based on the acoustic signal and a non-acoustic trigger signal based on the non-acoustic signal, and combine the trigger signals to gate an ASR trigger signal. For example, the ASR trigger signal may be provided to an ASR server only when the trigger signals are simultaneously asserted. Other embodiments are also described and claimed.

Abstract: An electronic device that can be worn on a limb of a user can include a processing device and one or more position sensing devices operatively connected to the processing device. The processing device can be adapted to determine which limb of the user is wearing the electronic device based on one or more signals received from at least one position sensing device.

Abstract: Method of wind and noise reduction for headphones starts by receiving acoustic signals from first external microphone included on the outside of earcup's housing. Acoustic signals are received from internal microphone included inside earcup's housing. ANC downlink corrector processes downlink signal to generate echo estimate of speaker signal. First summator removes echo estimate of speaker signal from acoustic signals from internal microphone to generate corrected internal microphone signal. Spectral combiner performs spectral mixing of corrected internal microphone signal with acoustic signals from first external microphone to generate mixed signal. Lower frequency portion of mixed signal includes corresponding lower frequency portion of corrected internal microphone signal, and higher frequency portion of mixed signal includes corresponding higher frequency portion of acoustic signals from first external microphone. Other embodiments are also described.

Abstract: Speech enhancers suppress impairments in an acoustic signal. An audio appliance has a first microphone and a second microphone. The first microphone provides a first signal, and the second microphone provides a second signal. A voice-activity detector can determine a presence of user speech responsive to a combination of voice-activity cues, including a first level difference between the first signal and the second signal within a first frequency band, and a second level difference between the first signal and the second signal within a second frequency band. A noise suppressor suppresses impairments originating from a direction of, e.g., up to about 75-degrees from an axis extending from the second microphone to the first microphone. An output device can output a noise-suppressed output-signal corresponding to a determined presence or absence of speech by the voice-activity detector. The impairments can be suppressed by, e.g., between about 3 dB and about 20 dB.

Abstract: Speech enhancers suppress impairments in an acoustic signal. An audio appliance has a first microphone and a second microphone. The first microphone provides a first signal, and the second microphone provides a second signal. A voice-activity detector can determine a presence of user speech responsive to a combination of voice-activity cues, including a first level difference between the first signal and the second signal within a first frequency band, and a second level difference between the first signal and the second signal within a second frequency band. A noise suppressor suppresses impairments originating from a direction of, e.g., up to about 75-degrees from an axis extending from the second microphone to the first microphone. An output device can output a noise-suppressed output-signal corresonding to a determined presence or absence of speech by the voice-activity detector. The impairments can be suppressed by, e.g., between about 3 dB and about 20 dB.

Abstract: An automatic speech recognition (ASR) triggering system, and a method of providing an ASR trigger signal, is described. The ASR triggering system can include a microphone to generate an acoustic signal representing an acoustic vibration and an accelerometer worn in an ear canal of a user to generate a non-acoustic signal representing a bone conduction vibration. A processor of the ASR triggering system can receive an acoustic trigger signal based on the acoustic signal and a non-acoustic trigger signal based on the non-acoustic signal, and combine the trigger signals to gate an ASR trigger signal. For example, the ASR trigger signal may be provided to an ASR server only when the trigger signals are simultaneously asserted. Other embodiments are also described and claimed.

Abstract: An assistive apparatus, and a method of providing an accessibility switch output by the assistive apparatus, is described. The assistive apparatus may include an accelerometer to be worn in an ear canal of a user, and a display having a graphical user interface. The accelerometer may generate an input signal representing an input command made by the user, and more particularly, the generated input command may represent one or more hums transmitted from vocal cords of the user to the accelerometer in the ear canal via bone conduction. The assistive apparatus may provide an accessibility switch output in response to the input signals representing the input command. For example, the accessibility switch output may cause a selection of a user interface element of the graphical user interface. Other embodiments are also described and claimed.

Abstract: An electronic device that can be worn on a limb of a user can include a processing device and one or more position sensing devices operatively connected to the processing device. The processing device can be adapted to determine which limb of the user is wearing the electronic device based on one or more signals received from at least one position sensing device.

Abstract: Electronic system for audio noise processing and noise reduction comprises: first and second noise estimators, selector and attenuator. First noise estimator processes first audio signal from voice beamformer (VB) and generate first noise estimate. VB generates first audio signal by beamforming audio signals from first and second audio pick-up channels. Second noise estimator processes first and second audio signal from noise beamformer (NB), in parallel with first noise estimator and generates second noise estimate. NB generates second audio signal by beamforming audio signals from first and second audio pick-up channels. First and second audio signals include frequencies in first and second frequency regions. Selector's output noise estimate may be a) second noise estimate in the first frequency region, and b) first noise estimate in the second frequency region. Attenuator attenuates first audio signal in accordance with output noise estimate. Other embodiments are also described.

Abstract: A wearable device configured to acquire and process electrocardiographic measurements, detect lead inversion and correct the acquired measurements for lead inversion is provided. In one example, the wearable device can detect lead inversion by first assessing whether the P-wave of a given electrocardiographic measurement has a negative amplitude, and if the P-wave is found to be negative, the device can determine if the magnitude of the R-wave is smaller than the maximum of the magnitudes of the S-wave and the Q-wave. In another example, the device can be put through an enrollment procedure in which electrocardiographic measurements are taken with the device being worn at known locations on the body. Once the enrollment procedure is completed, when the device is being used, any electrocardiographic results obtained can be compared against the measurements taken during the enrollment phase, and the location of the device on the body can be determined.

Abstract: Method of wind and noise reduction for headphones starts by receiving acoustic signals from first external microphone included on the outside of earcup's housing. Acoustic signals are received from internal microphone included inside earcup's housing. ANC downlink corrector processes downlink signal to generate echo estimate of speaker signal. First summator removes echo estimate of speaker signal from acoustic signals from internal microphone to generate corrected internal microphone signal. Spectral combiner performs spectral mixing of corrected internal microphone signal with acoustic signals from first external microphone to generate mixed signal. Lower frequency portion of mixed signal includes corresponding lower frequency portion of corrected internal microphone signal, and higher frequency portion of mixed signal includes corresponding higher frequency portion of acoustic signals from first external microphone. Other embodiments are also described.

Abstract: An automatic speech recognition (ASR) triggering system, and a method of providing an ASR trigger signal, is described. The ASR triggering system can include a microphone to generate an acoustic signal representing an acoustic vibration and an accelerometer worn in an ear canal of a user to generate a non-acoustic signal representing a bone conduction vibration. A processor of the ASR triggering system can receive an acoustic trigger signal based on the acoustic signal and a non-acoustic trigger signal based on the non-acoustic signal, and combine the trigger signals to gate an ASR trigger signal. For example, the ASR trigger signal may be provided to an ASR server only when the trigger signals are simultaneously asserted. Other embodiments are also described and claimed.

Abstract: System for automatic right-left ear detection for headphone comprising: first earcup and second earcup that are identical. Each of first and second earcups includes: first microphone located on perimeter of each earcup, when first earcup is worn on user's right ear first microphone of first earcup is at location farthest from user's mouth when headphone is worn in normal wear position; second microphone located on perimeter of each earcup, when first earcup is worn on user's right ear, second microphone of first earcup is at location closer than first microphone of first earcup to user's mouth; third microphone located inside each earcup facing user's ear cavity, fourth microphone located at perimeter and bottom center portion of each earcup and facing exterior of each earcup, and fifth microphone located on perimeter of each earcup above and to left of second microphone when looking at outside housing of each earcup.

Abstract: A wearable device configured to acquire and process electrocardiographic measurements, detect lead inversion and correct the acquired measurements for lead inversion is provided. In one example, the wearable device can detect lead inversion by first assessing whether the P-wave of a given electrocardiographic measurement has a negative amplitude, and if the P-wave is found to be negative, the device can determine if the magnitude of the R-wave is smaller than the maximum of the magnitudes of the S-wave and the Q-wave. In another example, the device can be put through an enrollment procedure in which electrocardiographic measurements are taken with the device being worn at known locations on the body. Once the enrollment procedure is completed, when the device is being used, any electrocardiographic results obtained can be compared against the measurements taken during the enrollment phase, and the location of the device on the body can be determined.