Samsung Electronics Co., Ltd.

Dojun Yang

Yusun Son

Jonghee Han

Joonho Kim

Jongyoub Ryu

Keunseok Cho

Jiwon Hyung

Heesik Jeon

Hyungjun Choi

Hyoungsu Kim

Hyunjae Baek

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.

Electronic apparatus and method for controlling electronic apparatus

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.

Method of recognizing gesture by using wearable device and the wearable device

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.

Electronic device and control method therefor

Growing community of inventors

Suwon-si, South Korea

Dojun Yang