Abstract:
Methods and apparatus are provided for executing a function of a mobile terminal by recognizing a writing gesture. The writing gesture that is inputted on a touchscreen of the mobile terminal is detected. At least one target item to which the writing gesture applies is determined. A preset writing gesture of the at least one target item is compared with the detected writing gesture to determine whether the preset writing gesture is at least similar to the detected writing gesture. An execution command corresponding to the preset writing gesture is extracted, when it is determined that the detected writing gesture is at least similar to the preset writing gesture. The function of the at least one target item is executed by the execution command.
Abstract:
The present disclosure relates to an artificial intelligence (AI) system for simulating functions of the human brain, such as cognition and decision making, by using a machine learning algorithm such as deep learning or the like, and to an application thereof. A method for generating, by a first interactive electronic device of a first user, information for interaction with the first user includes: receiving, from a second interactive electronic device, information about an interaction between a second user and the second interactive electronic device; and generating interactive information to be provided to the first user, by applying the interactive information provided from the second interactive electronic device to a first AI learning model. At least a part of the method for generating interactive information may use a rule-based model, or an AI model trained according to at least one of a machine learning algorithm, a neural network algorithm, and a deep learning algorithm.
Abstract:
A method, and a mobile device adapted thereto, verifies a user and executes applications via handwriting recognition. The method of controlling a mobile device includes entering a lock state, detecting a user's input, verifying a user based on the input and searching for an instruction corresponding to the input, and performing at least one of maintaining or releasing the lock state and which performs an operation corresponding to the instruction, based on user verification result and the instruction search result.
Abstract:
A method, performed by a movable device, of sensing an inclination of a distance sensor attached to the movable device includes sensing an obstacle fixed in a task space of the movable device; the movable device moving toward the sensed obstacle; while the movable device is moving, measuring a plurality of first distance values from the movable device to the obstacle by using the distance sensor; obtaining at least one second distance value indicating a moving distance of the movable device while measuring the plurality of first distance values, using odometry information of the movable device; and identifying an inclination state of the distance sensor based on the plurality of measured first distance values and the obtained at least one second distance value.
Abstract:
A method, performed by a robot vacuum cleaner, of planning a cleaning route includes: dividing an indoor space into at least one cleanable region based on an indoor space map generated using at least one sensor included in the robot vacuum cleaner; dividing the at least one cleanable region into a plurality of partial regions based on a cleaning mode of the robot vacuum cleaner; and planning a first cleaning route to control a number of direction changes of the robot vacuum cleaner with respect to each of the plurality of partial regions based on the cleaning mode being a first mode.
Abstract:
A lock state releasing method and a mobile device that releases the lock state by identifying input features of a signature, are provided. The method includes detecting an input signature for releasing the lock state, identifying an input means corresponding to the input, extracting an input feature of the input, calculating similarities and setting weights according to input features, calculating a total similarity, based on the similarities, determining whether the verification is successful, based on the total similarity, and releasing the lock state if the verification has succeeded.