Abstract: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.

Abstract: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.

Abstract: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.

Abstract: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.

Abstract: A method comprises accessing historical signal and other information received from a tracking device configured to scan for signals transmitted by local devices and record other data as the tracking device moves within the geographic area during each of a plurality time intervals. A training dataset is generated based on the historical signal and other information and used to train a machine learning model configured to predict tracking device movement patterns. The machine learning model is applied to current signal and other information to detect a variance from one or more predefined routines associated with the tracking device. A notification is sent to a monitoring device associated with the tracking device in response to detecting the variance from the one or more predefined routines associated with the tracking device.

Abstract: A method includes detecting a first computing device location transition from a first geographic region to a second geographic region and upon the detecting of the transition, selecting a trusted watcher computing device based on a favorable proximity to the first computing device and a trust protocol. The method further includes establishing a location determination approach of the first computing device that utilizes a location determining resource of the trusted watcher computing device. The method further includes initiating generation of the location synchronization information of the first computing device using the location determination approach and requesting that the trusted watcher computing device communicate the location synchronization information to a second computing device.

Abstract: A method includes detecting a first computing device location transition from a first geographic region to a second geographic region and upon the detecting of the transition, selecting a trusted watcher computing device based on a favorable proximity to the first computing device and a trust protocol. The method further includes establishing a location determination approach of the first computing device that utilizes a location determining resource of the trusted watcher computing device. The method further includes initiating generation of the location synchronization information of the first computing device using the location determination approach and requesting that the trusted watcher computing device communicate the location synchronization information to a second computing device.

Abstract: A method includes obtaining, by a user computing device of one or more computing devices of a computing system, a location synchronization approach. The method further includes determining a location determination approach based on the location synchronization approach and availability of location assets. The method further includes generating location synchronization information utilizing the location determination approach. For each of one or more synchronization entities of the computing system, the method further includes identifying a communication path for communication of the location synchronization information. The method further includes facilitating communication of the location synchronization information to the each of the one or more synchronization entities utilizing the communication path in accordance with the location synchronization approach.

Abstract: A method includes obtaining a change indicator associated with location tracking communication from a first communication device to a second communication device regarding location information of the first communication device, where the location tracking communication is based on a first locating category option for an energy consumption function locating category and a second locating category option for a location modality category. The method further includes selecting a different first locating category option and determining whether the different first locating category option affects a selection of the second locating category option.

Abstract: A method includes obtaining a change indicator associated with location tracking communication from a first communication device to a second communication device regarding location information of the first communication device, where the location tracking communication is based on a first locating category option for an energy consumption function locating category and a second locating category option for a location modality category. The method further includes selecting a different first locating category option and determining whether the different first locating category option affects a selection of the second locating category option.

Abstract: A method includes obtaining a change indicator associated with location tracking communication from a first communication device to a second communication device regarding location information of the first communication device, where the location tracking communication is based on a variety of locating category options of a plurality of locating categories including location modality, locating function, and communication medium. The method further includes selecting, in response to the change indicator, a different first locating category option and determining whether the different first locating category option affects a selection of other locating category options.

Abstract: A method includes obtaining a change indicator associated with location tracking communication from a first communication device to a second communication device regarding location information of the first communication device, where the location tracking communication is based on a variety of locating category options of a plurality of locating categories including location modality, locating function, and communication medium. The method further includes selecting, in response to the change indicator, a different first locating category option and determining whether the different first locating category option affects a selection of other locating category options.

Abstract: A method includes determining a first locating category of a plurality of locating categories based on an initial locating parameter. The method further includes selecting, when available, a first locating category option from the first locating category to produce a first selected locating category option. The method further includes selecting, when available, a second locating category option from a second locating category based on the first selected locating category option to produce a second selected locating category option, and a third locating category option from a third locating category based on at least one of the first and second selected locating category options to produce a third selected locating category option. The method further includes establishing location tracking communication from a first communication device to a second communication device regarding location information of the first communication device based on the first, second, and third selected locating category options.

Abstract: A method includes determining a first locating category of a plurality of locating categories based on an initial locating parameter. The method further includes selecting, when available, a first locating category option from the first locating category to produce a first selected locating category option. The method further includes selecting, when available, a second locating category option from a second locating category based on the first selected locating category option to produce a second selected locating category option, and a third locating category option from a third locating category based on at least one of the first and second selected locating category options to produce a third selected locating category option. The method further includes establishing location tracking communication from a first communication device to a second communication device regarding location information of the first communication device based on the first, second, and third selected locating category options.

Abstract: A method includes obtaining, by a user computing device of one or more computing devices of a computing system, a location synchronization approach. The method further includes determining a location determination approach based on the location synchronization approach and availability of location assets. The method further includes generating location synchronization information utilizing the location determination approach. For each of one or more synchronization entities of the computing system, the method further includes identifying a communication path for communication of the location synchronization information. The method further includes facilitating communication of the location synchronization information to the each of the one or more synchronization entities utilizing the communication path in accordance with the location synchronization approach.

Abstract: One disclosed method includes recording a sale to a customer of a configurable mobile device at a retail point-of-sale system and providing the customer with a virtual stock-keeping-unit at the point-of-sale system. The virtual stock-keeping-unit represents a customized mobile device that has not yet been assembled. The method further includes granting the customer access to a mobile device configurator based on a configurator access code associated with the virtual stock-keeping-unit and generating, by the mobile device configurator, a bill of material in response to configuration input received by the mobile device configurator. The configurator then sends the bill of material to a manufacturing system for assembly of the customized mobile device and the customized mobile device is assembled in accordance with the bill of material and information associated with the virtual stock-keeping-unit. The customized mobile device is shipped from the place of assembly to the customer.

Abstract: A portable electronic device (100) for detecting type and orientation of a hand of a user is provided. The device can include a housing (101), a display (106), a control circuit (108), a first sensor (115), and a second sensor (116). The first sensor can determine a type of hand of the user supporting the portable electronic device. The second sensor can determine an orientation of the portable electronic device relative to the user. The control circuit of the portable electronic device can perform a function based on the type of hand as determined by the first sensor and the orientation of the portable electronic device as determined by the second sensor.

Abstract: One disclosed method includes recording a sale to a customer of a configurable mobile device at a retail point-of-sale system and providing the customer with a virtual stock-keeping-unit at the point-of-sale system. The virtual stock-keeping-unit represents a customized mobile device that has not yet been assembled. The method further includes granting the customer access to a mobile device configurator based on a configurator access code associated with the virtual stock-keeping-unit and generating, by the mobile device configurator, a bill of material in response to configuration input received by the mobile device configurator. The configurator then sends the bill of material to a manufacturing system for assembly of the customized mobile device and the customized mobile device is assembled in accordance with the bill of material and information associated with the virtual stock-keeping-unit. The customized mobile device is shipped from the place of assembly to the customer.