公开(公告)号：US20210015376A1

公开(公告)日：2021-01-21

申请号：US16978538

申请日：2019-03-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Gyehyun KIM ,  Joonho KIM ,  Hyungsoon KIM ,  Taehan LEE ,  Jonghee HAN ,  Sangbae PARK ,  Hyunjae BAEK

IPC: A61B5/024 ,  G06K9/32 ,  G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  A61B5/00 ,  G16H30/40 ,  G16H50/20

Abstract: An electronic device and a method for measuring heart rate are disclosed. A heart rate measuring method of an electronic device, according to the present invention, comprises the steps of: capturing an image including a user's face; grouping the user's face, included in the image, into a plurality of regions including a plurality of pixels of similar colors; acquiring an information on a user's heart rate by inputting information on the plurality of grouped regions to an artificial intelligence learning model; and outputting the acquired information on heart rate. Therefore, the electronic device can measure the user's heart rate more accurately through the captured image.

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.