G04G99/006

DETERMINING RELEVANT INFORMATION BASED ON USER INTERACTIONS

A system for determining relevant information based on user interactions may include a processor configured to receive data and associated relevance information from a data source and a set of signals describing a current environment of a user or historical user behavior information in which the data source being local to a computing device. The processor may be further configured to provide, using a machine learning model, a relevance score for each of multiple data items based at least in part on the received relevance information and the set of signals. The processor may be further configured to sort the data items based on a ranking of each relevance score for each data item. The processor may be further configured to provide, as output, the multiple data items based at least in part on the ranking.

Automatic information system

Selecting the information displayed on a sports watch, the watch comprising an interface for receiving movement information from at least one sensor; a display; and at least two display modes, wherein at least one mode is a sport mode configured to display sport-specific data. The method according to the invention comprises detecting a sport event based on the movement information received from the at least one sensor; and selecting the sport mode according to the detected sport event.

Action information processing device and action information processing method

An action information processing device includes: a biological sensor which acquires biological information; a motion sensor which acquires action information including a first action indicating a predetermined action and a second action executed before the start of the first action; an information acquisition unit which acquires the biological information and the action information; a mental information processing unit which estimates mental state information from the biological information; an action decision unit which calculates an action of a subject from the action information and decides whether the first action is success or failure, based on a predetermined decision condition; and an action advice output information unit which outputs action advice information about the second action, based on the mental state information about the second action and a result of the decision about the first action by the action decision unit.

Determining relevant information based on user interactions

A system for determining relevant information based on user interactions may include a processor configured to receive data and associated relevance information from a data source and a set of signals describing a current environment of a user or historical user behavior information in which the data source being local to a computing device. The processor may be further configured to provide, using a machine learning model, a relevance score for each of multiple data items based at least in part on the received relevance information and the set of signals. The processor may be further configured to sort the data items based on a ranking of each relevance score for each data item. The processor may be further configured to provide, as output, the multiple data items based at least in part on the ranking.

WEARABLE DEVICE, ELECTRONIC WATCH, MAGNETIC SENSOR CALIBRATION METHOD, AND RECORDING MEDIUM

Power consumption due to failed automatic calibration is suppressed. An electronic watch is provided with a magnetic sensor, a processor for performing calibration of the magnetic sensor and controlling two or more function modes, and an acceleration sensor for sensing movement of a user. The processor determines whether a state of movement sensed by the acceleration sensor is a calibratable state in which calibration of the magnetic sensor can be performed, performs discrimination of a function mode being executed among the two or more function modes, and performs the calibration of the magnetic sensor when (i) the state of movement sensed by the acceleration sensor is the calibratable state and (ii) the function mode is not a non-default mode, the non-default mode being a function mode executed in accordance with an operation by the user.

SMARTWATCH DEVICE AND METHOD
20200278717 · 2020-09-03 ·

A smartwatch device and method. The abstract of the disclosure is submitted herewith as required by 37 C.F.R. 1.72(b). As stated in 37 C.F.R. 1.72(b): A brief abstract of the technical disclosure in the specification must commence on a separate sheet, preferably following the claims, under the heading Abstract of the Disclosure. The purpose of the abstract is to enable the Patent and Trademark Office and the public generally to determine quickly from a cursory inspection the nature and gist of the technical disclosure. The abstract shall not be used for interpreting the scope of the claims. Therefore, any statements made relating to the abstract are not intended to limit the claims in any manner and should not be interpreted as limiting the claims in any manner.

Timepiece, method of display control, and storage medium
10691075 · 2020-06-23 · ·

A timepiece includes one or more processors; and a display unit controlled by the one or more processors. The one or more processors perform: obtaining a clock hand image; obtaining positional information indicating a location of the timepiece; and controlling the display unit to display a map image that includes the location of the timepiece and to display the clock hand image superimposed onto the map image in such a rotated manner as to indicate a time, a center of rotation of the clock hand image being set at the location of the timepiece in the map image.

Electronic device

An electronic device includes a display module having a hole and including a plurality of first light sources disposed along a perimeter of one side of the display module and a plurality of second light sources which are positioned opposite the plurality of first light sources and are disposed along a perimeter of the other side of the display module, a shaft rotatably inserted into the hole of the display module, a movement which is positioned in the rear of the display module, is connected to one end of the shaft, and provides a rotational force for the shaft, a window which is separated from the display module and is positioned in front of the display module, and a hand which is positioned between the display module and the window and is fixed to the other end of the shaft.

WEARABLE ELECTRONIC DEVICE INCLUDING WHEEL

An example wearable electronic device may include a main body including a first surface having an opening area formed therein, wherein a plurality of lateral walls, surrounding at least one part of the opening area, are formed in the peripheral area of the opening area; a display disposed inside the main body and which is viewable through the opening area; a wheel including a mounted part, which is at least partially mounted on the peripheral area, and an extension part which extends in the inward direction from the mounted part, wherein the wheel is formed in a ring shape extending in the circumferential direction with respect to a rotation axis of the wheel; and a guide member partially coming into contact with the main body and the wheel, respectively, and for guiding the rotation of the wheel. The guide member may include a first part having at least one portion thereof extending to a space between the plurality of lateral walls and a second part at least partially inserted to a first recess formed in each of the plurality of lateral walls.

COGNITIVE ALARM CLOCK
20200038620 · 2020-02-06 ·

Systems and methods to facilitate sleep are described. In on example, a cognitive alarm clock system for children learns sleep patterns and activities towards recommending sleep schedules and teaching independence. The system may detect the cognitive state of a child based on voice or cry pattern recognition, a time of day or night, scheduled activities, and social context, among other factors. The system may initiate actions to facilitate sleep in response to the cognitive factors. For example, the system may adjust lighting or push back a wakeup time. In another example, the system may use the cognitive analysis to teach children good sleeping habits by making recommendations to facilitate a good night's rest and encourage independence.