公开(公告)号：US20230185381A1

公开(公告)日：2023-06-15

申请号：US18075900

申请日：2022-12-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Keunseok CHO ,  Yusun SON ,  Jiwon HYUNG ,  Dojun YANG

IPC: G06F3/01 ,  G06F1/16

CPC classification number: G06F3/017 ,  G06F3/015 ,  G06F1/163

Abstract: Provided is a method and device for recognizing, by a wearable device, a gesture. The method of recognizing, by a wearable device, a user gesture includes identifying a trigger gesture of the wearable device, obtaining an electromyographic signal set from a plurality of electromyography sensors, based on a movement of a user's body for the identified trigger gesture, obtaining at least one output value by using one or more electromyographic signals from among the obtained electromyographic signal set, as an input to a gesture recognition model, selecting, based on the wearable device being in a standby mode, at least one active electromyography sensor to recognize the user gesture, based on the obtained output value, activating the selected active electromyography sensor and recognizing the user gesture by using the activated at least one active electromyography sensor based on the wearable device being in standby mode.

公开(公告)号：US20230236869A1

公开(公告)日：2023-07-27

申请号：US18191360

申请日：2023-03-28

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyungjun CHOI ,  Heesik JEON ,  Hyoungsu KIM ,  Jongyoub RYU ,  Yusun SON ,  Dojun YANG

IPC: G06F9/455

CPC classification number: G06F9/45558 ,  G06F3/167

Abstract: An electronic apparatus is provided. The electronic apparatus includes a microphone, a memory configured to store at least one instruction, and a processor configured to execute the at least one instruction, and the processor may be configured to, by executing the at least one instruction, obtain a first command set corresponding to a first user voice input through the microphone and execute the obtained first command set on a host operating system, based on a user command different from the first user voice being input while the first command set is executed, identify whether it is possible to execute the first command set on a virtual machine through a bridge module, and based on a result of the identification, execute a command on the virtual machine through the bridge module and execute an operation corresponding to the user command on the host operating system.

公开(公告)号：US20230305144A1

公开(公告)日：2023-09-28

申请号：US18127473

申请日：2023-03-28

Applicant: SAMSUNG ELECTRONICS CO.,LTD.

Inventor： Dongseop LEE ,  Hyungjun CHOI ,  Daniel Dongyuel LEE ,  Dojun YANG

IPC: G01S15/52

CPC classification number: G01S15/523

Abstract: An electronic device includes a speaker configured to output an inaudible acoustic signal, one or more microphones configured to receive a first reflected wave signal, a memory storing one or more instructions, and one or more processors configured to execute the one or more instructions to obtain a signal change amount based on a correlation between a reference signal corresponding to the inaudible acoustic signal and the received first reflected wave signal, based on the signal change amount exceeding a first threshold value corresponding to a movement of an object, obtain object location information corresponding to a location of the object in a spatial structure based on the signal change amount, and based on the signal change amount exceeding a second threshold value corresponding to a change in the spatial structure, update a final parameter set corresponding to the inaudible acoustic signal by using a waveform optimization model.

公开(公告)号：US20210049890A1

公开(公告)日：2021-02-18

申请号：US17049847

申请日：2019-05-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jonghee HAN ,  Joonho KIM ,  Hyunjae BAEK ,  Dojun YANG

IPC: G08B21/04 ,  G08B29/18 ,  G06N20/00

Abstract: An electronic device and a control method therefor are disclosed. A control method for an electronic device, according to the present disclosure, enables relearning of an artificial intelligence model for: receiving fall information acquired by a plurality of sensors of an external device when a fall event of a user is sensed by one of the plurality of sensors included in the external device; determining whether the user has fallen by using the fall information acquired by the plurality of sensors; determining a sensor, having erroneously determined that a fall has occurred, from among the plurality of sensors on the basis of whether the user has fallen; and determining that a fall has occurred by using a sensing value acquired by the sensor having erroneously determined that a fall has occurred. In particular, at least one part of a method for acquiring fall information by using a sensing value acquired through a sensor enables the user of artificial intelligence model having learned according at least one of machine learning, a neural network, and a deep-learning algorithm.