公开(公告)号：US20240357309A1

公开(公告)日：2024-10-24

申请号：US18688317

申请日：2022-10-20

Applicant: University of Washington

Inventor： Shyamnath Gollakota ,  Anran Wang

IPC: H04S7/00 ,  G10L25/30 ,  H04R3/00 ,  H04R5/027

CPC classification number: H04S7/304 ,  G10L25/30 ,  H04R3/005 ,  H04R5/027 ,  H04S2400/11 ,  H04S2400/15

Abstract: Embodiments of the present disclosure provide systems and methods directed to directional audio source separation. An example method comprising: receiving a plurality of input signals by a plurality of microphones: generating a plurality of beamformed signals based on the plurality of input signals: providing the plurality of beamformed signals and the plurality of input signals to a neural network, wherein the neural network is trained to generate directional signals based on sample beamformed signals and sample input signals: generating an output directional signal using the neural network based on the plurality of input signals and the plurality of beamformed signals: and providing the directional signal to a speaker.

公开(公告)号：US20220091244A1

公开(公告)日：2022-03-24

申请号：US17413917

申请日：2020-01-17

Applicant: University of Washington

Inventor： Anran Wang ,  Shyamnath Gollakota

IPC: G01S11/14 ,  H04R1/40 ,  G01S5/30 ,  G01S1/74

Abstract: Systems and methods for facilitating acoustic-based localization and motion tracking in the presence of multipath, wherein, in operation, acoustic signals are transmitted from a speaker to a microphone array, a processor coupled to the microphone array calculates the 1 D distance between a microphone and/or each microphones of the microphone array and the speaker of a user device by first filtering out multipath signals with large time-of-arrival values relative to the time-of-arrival value of the direct path signal, then extracting out the phase value of the residual multipath signals and direct path signal, using the calculated 1 D distances, the processor may then calculate the intersection of the 1 D distances to determine the 3D location of the speaker to enable sub-millimeter accuracy of 1 D distance between a microphone of a microphone array and a speaker of a user device to enable smaller separation between the microphones of the microphone array.

公开(公告)号：US20230363654A1

公开(公告)日：2023-11-16

申请号：US18246175

申请日：2021-09-24

Applicant: University of Washington

Inventor： Shyamnath Gollakota ,  Anran Wang ,  Arun R. Mahankali Sridhar

IPC: A61B5/024 ,  A61B5/00

CPC classification number: A61B5/02405 ,  A61B5/6887 ,  A61B5/7235

Abstract: Examples of systems and methods are described for detecting heart beats of a subject. The systems and methods may be based on motion of the subject due to cardiac activity, and may operate without contact with the subject. Example systems may provide an interrogation signal to the subject. Reflected signals from the subject are incident on a microphone array. The reflected signals may be processed and beamformed using a set of beamforming weights. The beamforming weights may be selected in a manner to reduce components of the reflected signals due to breathing motion of the subject while increasing the relative contribution of the reflected signals due to cardiac activity. The beamformed signal may provide a waveform indicative of heart beats. Inter-beat intervals, heart rates, and/or other health metrics may be calculated based on the waveform.

公开(公告)号：US20220196832A1

公开(公告)日：2022-06-23

申请号：US17604311

申请日：2020-04-16

Applicant: University of Washington

Inventor： Shyamnath Gollakota ,  Anran Wang ,  Jacob Sunshine

IPC: G01S15/58 ,  G01S15/66 ,  G01S15/88 ,  A61B5/11 ,  A61B5/113 ,  A61B7/00 ,  A61B5/0205 ,  A61B5/08 ,  A61B5/00

Abstract: Embodiments of the present disclosure provide systems and methods directed to contactless motion tracking. In operation, a speaker may provide an acoustic signal to, for example, a subject. A microphone array may receive a reflected acoustic signal, where the received reflected signal is responsive to the acoustic signal reflecting off the subject. A computing device may extraction motion data of the subject based on the received reflected acoustic signal. Various motion data extraction methods are described herein. The motion data may include respiration motion, coarse movement motion, respiration rate, and the like. Using the extracted motion data, the processor may identify at least one health condition and/or sleep anomaly corresponding to the subject. In some examples, beamforming is implemented to aid in contactless motion tracking.