摘要:
The subject matter disclosed herein relates to a method comprising displaying in a camera view of a mobile device a captured image of one or more items listed in a menu of items available for selection at a point of interest identifiable, at least in part, by a location. A method may further include transmitting a message comprising parsed text of the one or more items and information representative of the location, and receiving, in response to the transmission of the message, annotations to be displayed in the camera view.
摘要:
Methods, and devices implementing the methods, use device-specific classifiers in a privacy-preserving behavioral monitoring and analysis system for crowd-sourcing of device behaviors. Diverse devices having varying degrees of “smart” capabilities may monitor operational behaviors. Gathered operational behavior information may be transmitted to a nearby device having greater processing capabilities than a respective collecting device, or may be transmitted directly to an “always on” device. The behavior information may be used to generate behavior vectors, which may be analyzed for anomalies. Vectors containing anomaly flags may be anonymized to remove any user-identifying information and subsequently transmitted to a remote recipient such as a service provider or device manufacture. In this manner, operational behavior information may be gathered about different devices from a large number of users, to obtain statistical analysis of operational behavior for specific makes and models of devices, without divulging personal information about device users.
摘要:
Systems and methods are disclosed for automating customer service for a monitored device (MD). A method for an Internet of Everything management device to automate customer service for a monitored device comprises collecting sensor data from a plurality of sensors, wherein the plurality of sensors comprises a first sensor that is not included in the MD, determining whether the MD is exhibiting abnormal behavior based on an analysis of the collected sensor data, and transmitting a report to a customer service entity associated with the MD in response to a determination that the MD is exhibiting abnormal behavior.
摘要:
Methods, and mobile devices implementing the methods, use application-specific and/or application-type specific classifier to improve the efficiency and performance of a comprehensive behavioral monitoring and analysis system predicting whether a software application is causing undesirable or performance depredating behavior. The application-specific and application-type specific classifier models may include a reduced and more focused subset of the decision nodes that are included in a full or more complete classifier model that may be received or generated in the mobile device. The locally generated application-specific and/or application-type specific classifier models may be used to perform real-time behavior monitoring and analysis operations by applying the application-based classifier models to a behavior/feature vector generated by monitoring mobile device behavior. The various aspects focus monitoring and analysis operations on a small number of features that are most important for determining whether operations of a software application are contributing to undesirable or performance depredating behavior.
摘要:
According to some aspects, a method includes communicating a request from a first device to a second device using near field communication (NFC). The request includes a preferred mode of wireless local area network (Wi-Fi) operation and state information of the first device. The method further includes receiving a reply at the first device, sent from the second device, including acceptance of the preferred mode of Wi-Fi operation. The method further includes communicating wireless information to establish the Wi-Fi communication link from the first device to the second device.
摘要:
The subject matter disclosed herein relates to utilizing location information, such as maps, in location determination based on Received Signal Strength Indication (RSSI) and Round-Trip Time (RTT) data. Weighting information can be determined from and/or provided in the location information. The weighting information associated with an area in which a mobile device is located can impact how RSSI and RTT data is weighted in a calculation of the mobile devices location.
摘要:
Methods, apparatuses and articles of manufacture are implemented for use in one or more computing platforms to adaptively provide and/or obtain indoor navigation assistance data (INAD) update(s) for use by a mobile device. An INAD update comprises a subset of INAD available for an indoor environment. Such a subset is determined based, at least in part, on a bounded region in an electronic map of the indoor environment. Such a bounded region has a shape and/or a size based, at least in part, on at least one parameter indicative of a motion state of the mobile device.
摘要:
Methods, apparatuses, systems, and computer-readable media for integrating sensation functionalities into social networking services and/or applications are presented. According to one or more aspects, a computing device may receive a status update associated with a social networking service, and the status update may include haptic data. Subsequently, the computing device may cause haptic feedback to be provided to at least one user of the social networking service, based at least in part on the haptic data and the at least one user's relationship with a sender of the status update within the social networking service. In at least one arrangement, first haptic feedback is provided to the user if the user is within a first group of users, and second haptic feedback different from the first haptic feedback is provided to the user if the user is within a second group of users different from the first group of users.