Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums described herein are configured to determine contextually-relevant information for a user and provide that information to the user in a personalized manner For instance, a user may enter an environment. Sensors located in that environment are utilized to identify the user. Upon identifying the user, previously-collected information pertaining to that user is accessed. Sensor data collected from sensors located in other environments visited by the user is also accessed. Sensors in the present environment is utilized to monitor and/or track the identified user as he navigates through the environment. The collected sensor data is utilized to determine an activity the user performs in the environment and/or predict an activity that a user is likely to perform in the environment. Contextually-relevant information pertaining to such activities is determined based on both present sensor data and historical sensor data of that user.

Abstract: The electronic devices described herein are configured to enhance user experience associated with using a pen or other writing implement and capturing the content written or drawn. A cartridge device is coupled to or included in the pen or writing implement. The cartridge device is configured to collect pen input based on the pen being used by a user to write or draw. Collected pen input is saved on the cartridge device and, when a connection to a network storage device or cloud server is detected, the collected pen input is uploaded. The cartridge device may be associated with a user account based on user credentials, such that pen input stored and/or uploaded is associated with the user account on the cartridge device and don the network storage device or cloud server.

Abstract: The electronic devices described herein are configured to enhance user experience associated with using a pen on the touchscreens of the electronic devices. Proximity and/or approach of a pen is detected and, when the pen is close enough, the operating system triggers a pen event, which is communicated to applications running on the electronic devices. The applications may handle the pen event by redrawing a user interface to accommodate the incoming pen input in a smooth, seamless way. Further, pen-compatible interface controls may be provided by the operating system to enhance pen use with applications that may not have the necessary functionality.

Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: The electronic devices described herein are configured to enhance user experience associated with using a pen or other writing implement and capturing the content written or drawn. A cartridge device is coupled to or included in the pen or writing implement. The cartridge device is configured to collect pen input based on the pen being used by a user to write or draw. Collected pen input is saved on the cartridge device and, when a connection to a network storage device or cloud server is detected, the collected pen input is uploaded. The cartridge device may be associated with a user account based on user credentials, such that pen input stored and/or uploaded is associated with the user account on the cartridge device and don the network storage device or cloud server.

Abstract: The electronic devices described herein are configured to enhance user experience associated with using a pen on the touchscreens of the electronic devices. Proximity and/or approach of a pen is detected and, when the pen is close enough, the operating system triggers a pen event, which is communicated to applications running on the electronic devices. The applications may handle the pen event by redrawing a user interface to accommodate the incoming pen input in a smooth, seamless way. Further, pen-compatible interface controls may be provided by the operating system to enhance pen use with applications that may not have the necessary functionality.