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公开(公告)号:US20210097694A1
公开(公告)日:2021-04-01
申请号:US16841280
申请日:2020-04-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: Dojun Yang , Sangyeon Kim , Sangbae Park , Kwangil Hwang
Abstract: A motion detection device is provided. The motion detection device includes a first dynamic vision sensor (DVS), a memory, a communication circuit, and at least one processor, wherein the at least one processor is configured to receive a plurality of images including a movable object using the first DVS for a predetermined time, generate data for determining a kind of motion of the moveable object based on a motion vector of the plurality of images, transmit the generated data to a cloud, and determine the kind of motion of the moveable object based on information received from the cloud.
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公开(公告)号:US11960655B2
公开(公告)日:2024-04-16
申请号:US18075900
申请日:2022-12-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Keunseok Cho , Yusun Son , Jiwon Hyung , Dojun Yang
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.
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公开(公告)号:US11270565B2
公开(公告)日:2022-03-08
申请号:US17049847
申请日:2019-05-13
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Jonghee Han , Joonho Kim , Hyunjae Baek , Dojun Yang
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.
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