Lg Electronics Inc.

Gyuseog Hong

Seungjin Jang

Jeongmee Koh

Youngdon Hwang

Taehwan Kim

SungWoo Kim

Sungwoo Kim

Beomoh Kim

Inyong Hwang

Taeyoung Jeon

Seungbum Hong

Raehoon Kang

Heejin Park

Byunghun Choi

Younghyeog Jeon

A computer-implemented method for controlling a device based on an ensemble model can include receiving sensing information associated with a user's biometric state; inputting first sensing information to a first model, determining a first uncertainty of the first model, and generating a first weight value for weighting a first result value; inputting second sensing information into a second model, determining a second uncertainty of the second model, and generating a second weight value for weighting a second result value; generating a final result value based on combining the first result value weighted by the first weight value and the second result value weighted by the second weight value; generating a predicted biometric state of the user based on the final result value; and executing an operation of the device based on the predicted biometric state.

Artificial intelligence device and method for executing an operation based on predicted biometric state of a user

Disclosed are an apparatus for detecting wrist steps and a method thereof, which can exactly detect a user wrist step based on a plurality of acceleration signals. The apparatus includes an acceleration sensor, a controller and a display unit. The acceleration sensor detects a plurality of acceleration signals corresponding to a plurality of axis directions. The controller detects a plurality of wrist step feature points corresponding to the plurality of acceleration signals, detects time periods between the plurality of wrist step feature points, selects any one acceleration signal among the plurality of acceleration signals based on a standard deviation of the time periods, and detects wrist steps corresponding to the selected acceleration signal. The display unit displays the wrist steps.

Apparatus and method for detecting wrist steps

A terminal wearable by a user and a control method thereof are provided. The terminal includes: a body configured to wrap at least one region of a wrist and detachably formed; a sensing unit disposed in one surface of the body and configured to sense a movement of at least one of tendons passing through the wrist and the wrist; and a controller configured to generate a control signal for controlling an external device to execute a function previously matched to the sensed movement of the at least one of the tendons and the wrist.

Terminal and control method thereof

An exercise monitoring apparatus capable of allowing a user to conveniently check a progressed exercise state and capable of properly controlling an exercise amount, by comparing a progressed exercise amount measured based on scheduling information received from an external apparatus and acceleration information of the exercise monitoring apparatus, with a goal exercise amount, and by visually providing a comparison result, a system and an exercise monitoring method thereof. The exercise monitoring apparatus comprises a communication unit configured to receive exercise scheduling information from an external apparatus, a sensing unit configured to detect acceleration information of the exercise monitoring apparatus, a controller configured to measure a progressed exercise amount based on the acceleration information, to acquire a goal exercise amount from the exercise scheduling information, to compare the progressed exercise amount with the goal exercise amount, and to generate a notification message indicating a result of the comparison, and an output unit configured to output the notification message.

Exercise monitoring apparatus, system and controlling method thereof

Disclosed is An exercise guide apparatus comprising: a sensing unit configured to obtain a heart rate of a subject; a strength determining unit configured to determine a maximal oxygen uptake of the subject; an exercise intensity measurement unit configured to determine a current exercise intensity of the subject based on the heart rate obtained by the sensing unit; and an exercise guide unit configured to estimate a fat oxidation rate of the subject, determine whether or not fat oxidation of the subject occurs, generate guide information according to a result of the determination of the occurrence of fat oxidation, and display the guide information generated, wherein the fat oxidation rate is estimated based on a ratio of fat being oxidized at the current exercise intensity to the maximal oxygen uptake, and wherein the occurrence of fat oxidation is determined by checking whether or not the fat oxidation rate estimated is greater than a threshold.

Guiding exercise based on fat oxidation rate

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Seoul, South Korea

Gyuseog Hong