Abstract: Embodiments may relate to a vehicle comprising: a sensor to identify, based on an audio or visual condition, the occurrence of a condition related to a passenger of the vehicle. The vehicle may further include a processor coupled with the sensor. The processor may be configured to identify, in a user profile of the first passenger of the vehicle, a pre-identified action. The processor may further be configured to perform, or facilitate the performance of, the pre-identified action by the vehicle based on the occurrence of the audio or visual condition. Other embodiments may be described or claimed.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.

Abstract: Embodiments may relate to a vehicle comprising: a sensor to identify, based on an audio or visual condition, the occurrence of a condition related to a passenger of the vehicle. The vehicle may further include a processor coupled with the sensor. The processor may be configured to identify, in a user profile of the first passenger of the vehicle, a pre-identified action. The processor may further be configured to perform, or facilitate the performance of, the pre-identified action by the vehicle based on the occurrence of the audio or visual condition. Other embodiments may be described or claimed.

Abstract: Devices, methods, and computer-readable media process to distinguish user input device gestures, such as gestures input via a pen in a pen-based computing system, e.g., to quickly and reliably distinguish between electronic ink entry, single taps, double taps, press-and-hold actions, dragging operations, and the like. The devices, methods, and computer-readable media process quickly and reliably distinguishes between input device gestures by utilizing a gesture profile that includes a preferential input type, e.g. to preferentially recognize a received input as a first input type over a second input type.

Abstract: Techniques relating to scrolling, object selection, and object moving are discussed. Strokes are inputted by a user, for instance using a touch sensitive surface. Strokes are directed to a scrollable surface with objects therein. Strokes that end before meeting a condition select the objects, and strokes then end after meeting the condition move the objects or representations thereof. The condition may be a distance. Selection may only occur when strokes meet a threshold condition such as having a particular direction (e.g., perpendicular to a direction for scrolling the surface) or moving a minimal distance. Strokes in a scrolling direction (e.g., horizontal) may scroll the surface in that direction and strokes in another direction (e.g., vertical) may both select and move the objects. Objects selected may slide on rails before moving.

Abstract: Embodiments relate to a computing device having storage, a processor, a display, a first human input device, and a second human input device, where the first human input device is in a first category of human input devices and the second human input device is in a second category of human input devices. The computing device may perform a process involving executing a windowing environment that manages windows of applications executing on the computing device. The windowing environment may receive raw inputs from the first and second human input devices and in turn generate input pointers for the raw inputs, respectively. The input pointers may be or include instances of an input pointer class implemented by the windowing environment, the pointer class used by the windowing environment for arbitrary different types of human input pointer devices including the first human input device and the second human input device.

Abstract: Systems and methods for identifying personal signals of a target person are presented. More particularly, content is captured and or monitored on a local computing device of the target person. Personal signals of the target person are identified and a comparison to personal signals in a personal profile record of the target person is made to identify a delta of personal signals representing those signals that are not included in the personal profile record. The delta of personal signals is uploaded to a remotely located personal assistance service where they may be added to the personal profile record of the target person and the updated personal profile record of the target person is returned to the local computing device.

Abstract: Devices, methods, and computer-readable media process to distinguish user input device gestures, such as gestures input via a pen in a pen-based computing system, e.g., to quickly and reliably distinguish between electronic ink entry, single taps, double taps, press-and-hold actions, dragging operations, and the like. The devices, methods, and computer-readable media process quickly and reliably distinguishes between input device gestures by utilizing a gesture profile that includes a preferential input type, e.g. to preferentially recognize a received input as a first input type over a second input type.

Abstract: Systems, methods, and computer-readable media process and distinguish user input device gestures, such as gestures input via a pen in a pen-based computing system, e.g., to quickly and reliably distinguish between electronic ink entry, single taps, double taps, press-and-hold actions, dragging operations, and the like. Systems, methods, and computer-readable media also are provided for dynamically calibrating a computer system, e.g., calibrating a displayed input panel view based on input data recognized and received by a digitizer. Such systems and methods may operate without entering a dedicated or special calibration application, program, or routine.

Abstract: Embodiments relate to a computing device having storage, a processor, a display, a first human input device, and a second human input device, where the first human input device is in a first category of human input devices and the second human input device is in a second category of human input devices. The computing device may perform a process involving executing a windowing environment that manages windows of applications executing on the computing device. The windowing environment may receive raw inputs from the first and second human input devices and in turn generate input pointers for the raw inputs, respectively. The input pointers may be or include instances of an input pointer class implemented by the windowing environment, the pointer class used by the windowing environment for arbitrary different types of human input pointer devices including the first human input device and the second human input device.

Abstract: Embodiments relate to a computing device having storage, a processor, a display, a first human input device, and a second human input device, where the first human input device is in a first category of human input devices and the second human input device is in a second category of human input devices. The computing device may perform a process involving executing a windowing environment that manages windows of applications executing on the computing device. The windowing environment may receive raw inputs from the first and second human input devices and in turn generate input pointers for the raw inputs, respectively. The input pointers may be or include instances of an input pointer class implemented by the windowing environment, the pointer class used by the windowing environment for arbitrary different types of human input pointer devices including the first human input device and the second human input device.

Abstract: Techniques relating to scrolling, object selection, and object moving are discussed. Strokes are inputted by a user, for instance using a touch sensitive surface. Strokes are directed to a scrollable surface with objects therein. Strokes that end before meeting a condition select the objects, and strokes then end after meeting the condition move the objects or representations thereof. The condition may be a distance. Selection may only occur when strokes meet a threshold condition such as having a particular direction (e.g., perpendicular to a direction for scrolling the surface) or moving a minimal distance. Strokes in a scrolling direction (e.g., horizontal) may scroll the surface in that direction and strokes in another direction (e.g., vertical) may both select and move the objects. Objects selected may slide on rails before moving.

Abstract: Techniques relating to scrolling, object selection, and object moving are discussed. Strokes are inputted by a user, for instance using a touch sensitive surface. Strokes are directed to a scrollable surface with objects therein. Strokes that end before meeting a condition select the objects, and strokes then end after meeting the condition move the objects or representations thereof. The condition may be a distance. Selection may only occur when strokes meet a threshold condition such as having a particular direction (e.g., perpendicular to a direction for scrolling the surface) or moving a minimal distance. Strokes in a scrolling direction (e.g., horizontal) may scroll the surface in that direction and strokes in another direction (e.g., vertical) may both select and move the objects. Objects selected may slide on rails before moving.

Abstract: In one embodiment, a unified pointer message 300 may describe in a single type of pointer message a coordinate input from a user via multiple types of pointer devices. An input device interface 150 may receive a coordinate input 350 from an input device. A processor 120 may execute an application programming interface layer 430 that creates a unified pointer message 300 for the coordinate input 350. The processor 120 may send the unified pointer message 300 to an application. The processor 120 may process a device specific data set 244 unhandled by the application.

Abstract: This document describes tools associated with soft keyboard control functions. In some implementations, the tools recognize a keyboard launch gesture on a touch sensitive screen and present a preview of a keyboard on the touch sensitive screen responsive to the launch gesture. The tools can also display the keyboard on the touch sensitive screen responsive to cessation of the launch gesture.

Abstract: Techniques relating to scrolling, object selection, and object moving are discussed. Strokes are inputted by a user, for instance using a touch sensitive surface. Strokes are directed to a scrollable surface with objects therein. Strokes that end before meeting a condition select the objects, and strokes then end after meeting the condition move the objects or representations thereof. The condition may be a distance. Selection may only occur when strokes meet a threshold condition such as having a particular direction (e.g., perpendicular to a direction for scrolling the surface) or moving a minimal distance. Strokes in a scrolling direction (e.g., horizontal) may scroll the surface in that direction and strokes in another direction (e.g., vertical) may both select and move the objects. Objects selected may slide on rails before moving.

Abstract: In one embodiment, a unified pointer message 300 may describe in a single type of pointer message a coordinate input from a user via multiple types of pointer devices. An input device interface 150 may receive a coordinate input 350 from an input device. A processor 120 may execute an application programming interface layer 430 that creates a unified pointer message 300 for the coordinate input 350. The processor 120 may send the unified pointer message 300 to an application. The processor 120 may process a device specific data set 244 unhandled by the application.

Abstract: Embodiments relate to a computing device having storage, a processor, a display, a first human input device, and a second human input device, where the first human input device is in a first category of human input devices and the second human input device is in a second category of human input devices. The computing device may perform a process involving executing a windowing environment that manages windows of applications executing on the computing device. The windowing environment may receive raw inputs from the first and second human input devices and in turn generate input pointers for the raw inputs, respectively. The input pointers may be or include instances of an input pointer class implemented by the windowing environment, the pointer class used by the windowing environment for arbitrary different types of human input pointer devices including the first human input device and the second human input device.