Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Techniques for mobile device application state are described. In one or more implementations, a mobile device includes a computing device that is flexibly coupled to an input device via a flexible hinge. Accordingly, the mobile device can operate in a variety of different power states based on a positional orientation of the computing device to an associated input device. In one or more implementations, an application that resides on a computing device can operate in different application states based on a positional orientation of the computing device to an associated input device. In one or more implementations, techniques discussed herein can differentiate between vibrations caused by touch input to a touch functionality, and other types of vibrations. Based on this differentiation, techniques can determine whether to transition between device power states.

Abstract: Techniques for mobile device power state are described. In one or more implementations, a mobile device includes a computing device that is flexibly coupled to an input device via a flexible hinge. Accordingly, the mobile device can operate in a variety of different power states based on a positional orientation of the computing device to an associated input device. In one or more implementations, an application that resides on a computing device can operate in different application states based on a positional orientation of the computing device to an associated input device. In one or more implementations, techniques discussed herein can differentiate between vibrations caused by touch input to a touch functionality, and other types of vibrations. Based on this differentiation, techniques can determine whether to transition between device power states.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: Techniques for mobile device power state are described. In one or more implementations, a mobile device includes a computing device that is flexibly coupled to an input device via a flexible hinge. Accordingly, the mobile device can operate in a variety of different power states based on a positional orientation of the computing device to an associated input device. In one or more implementations, an application that resides on a computing device can operate in different application states based on a positional orientation of the computing device to an associated input device. In one or more implementations, techniques discussed herein can differentiate between vibrations caused by touch input to a touch functionality, and other types of vibrations. Based on this differentiation, techniques can determine whether to transition between device power states.

Abstract: Techniques for mobile device power state are described. In one or more implementations, a mobile device includes a computing device that is flexibly coupled to an input device via a flexible hinge. Accordingly, the mobile device can operate in a variety of different power states based on a positional orientation of the computing device to an associated input device. In one or more implementations, an application that resides on a computing device can operate in different application states based on a positional orientation of the computing device to an associated input device. In one or more implementations, techniques discussed herein can differentiate between vibrations caused by touch input to a touch functionality, and other types of vibrations. Based on this differentiation, techniques can determine whether to transition between device power states.

Abstract: Sensor fusion algorithm techniques are described. In one or more embodiments, behaviors of a host device and accessory devices are controlled based upon an orientation of the host device and accessory devices, relative to one another. A combined spatial position and/or orientation for the host device may be obtained based on raw measurements that are obtained from at least two different types of sensors. In addition, a spatial position and/or orientation for an accessory device is ascertained using one or more sensors of the accessory device. An orientation (or position) of the accessory device relative to the host computing device may then be computed based on the combined spatial position/orientation for the host computing device and the ascertained spatial position/orientation for the accessory device. The relative orientation that is computed may then be used in various ways to control behaviors of the host computing device and/or accessory device.

Abstract: The system and methods of the present invention provide a processing function that is useful for controlling any type of transaction between providers and consumers of information services. The invention provides a transaction framework that dynamically integrates a plurality of service providers and consumers based on transaction context data. Transactions between services are described using a transaction definition. A transaction definition specifies the details of the transaction using a uniform specification model, where services are classified through a standardized taxonomic structure. The processing function analyzes service classification during a transaction to determine the appropriate configuration and processing strategy.

Abstract: The system and method of the present invention provide for a means to create a fully functional object-oriented data access model to one or more data stores. In particular, the framework of the invention can automatically implement any object relationship model describing object attribution, behavior, navigability, and other properties through a distributed client server access model. The framework provides a well-defined client access-model, fully encapsulating the data storage and management using an object-oriented application-programming interface. Additional aspects of the invention provide for integration with object oriented analysis tools, dynamic integration, and security.

Abstract: The system and methods of the present invention provide a processing function that is useful for controlling any type of transaction between providers and consumers of information services. The invention provides a transaction framework that dynamically integrates a plurality of service providers and consumers based on transaction context data. Transactions between services are described using a transaction definition. A transaction definition specifies the details of the transaction using a uniform specification model, where services are classified through a standardized taxonomic structure. The processing function analyzes service classification during a transaction to determine the appropriate configuration and processing strategy.