Smart wearable sensor system and methods to lower risks of distracted walking, and the system includes at least a smart mobile device connected to both the wearables and a machine learning block. The wearables is used to sense users' environment and acquire featured data. The smart mobile device computes on the featured data with existing algorithms and models and makes judgement to alert users of objects and situations needing attention. In the machine learning block, servers are used to construct machine learning algorithms and models, and a computing block is used to train the algorithms and models. The servers update algorithms and models regularly. The servers are connected to the mobile device thru a wireless network, and the mobile device downloads updated algorithms and models from the servers. The system is intelligent as the algorithms and models are continuously optimized and improved. The intelligence helps the person to percept the surroundings and effectively lower the risk of accident as a result of dropped vision and hearing during distracted walking.

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.

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.

The present invention relates to a clock-type disaster preparedness kit. More particularly, the present invention relates to a clock-type disaster preparedness kit in which a clock is integrated with a configuration for storing disaster preparedness goods such that a location of the disaster preparedness goods is easily recognized whereby it is possible to request rescue promptly in an emergency. Accordingly, the present invention provides the clock-type disaster preparedness kit, the kit including: a housing provided with a storage space in which a first portion and a second portion thereof are engaged with each other; a clock provided on an outer surface of the housing and showing time; a storing portion provided in the second portion of the housing and storing disaster preparedness goods; and a coupling member coupling the first portion and the second portion of the housing to combine the housing.

The present invention relates to a clock-type disaster preparedness kit. More particularly, the present invention relates to a clock-type disaster preparedness kit in which a clock is integrated with a configuration for storing disaster preparedness goods such that a location of the disaster preparedness goods is easily recognized whereby it is possible to request rescue promptly in an emergency. Accordingly, the present invention provides the clock-type disaster preparedness kit, the kit including: a housing provided with a storage space in which a first portion and a second portion thereof are engaged with each other; a clock provided on an outer surface of the housing and showing time; a storing portion provided in the second portion of the housing and storing disaster preparedness goods; and a coupling member coupling the first portion and the second portion of the housing to combine the housing.

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.

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.

In one embodiment, a method for providing enhanced configuration features includes receiving, by a computing device, indication that a wearable device has started a pairing process with a second electronic device and obtaining images corresponding to the wearable device. Moreover, the method includes analyzing, by the computing device, the images to determine one or more aspects of the wearable device and configuring the wearable device using the one or more aspects of the wearable device.

In one embodiment, a method for providing enhanced configuration features includes receiving, by a computing device, indication that a wearable device has started a pairing process with a second electronic device and obtaining images corresponding to the wearable device. Moreover, the method includes analyzing, by the computing device, the images to determine one or more aspects of the wearable device and configuring the wearable device using the one or more aspects of the wearable device.

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.