Abstract: Manufacturing of a shoe or a portion of a shoe is enhanced by executing various shoe-manufacturing processes in an automated fashion. For example, information describing a shoe part may be determined, such as an identification, an orientation, a color, a surface topography, an alignment, a size, etc. Based on the information describing the shoe part, automated shoe-manufacturing apparatuses may be instructed to apply various shoe-manufacturing processes to the shoe part, such as a pickup and placement of the shoe part with a pickup tool.

Abstract: Methods and systems may be used automated profiling and context dependent cooperative Internet of Things (IoT) management operations. Sensor data may be received from a plurality of devices, arranged into states, and categorized to generate a plurality of behavior categories. State transitions of the sensor data may be detected to generate state transition events. Interdependencies between the states and the state transition events may be analyzed using sets of event pattern detection rules. Actionable event patterns (AEPs) may be created and run based at least on the states and the state transition events to detect combinations of behavior patterns. Control actions and/or alerts may be sent to devices/users based on the detected combinations of behavior pattern. An interdependency graph (IDG) may be generated and/or displayed to users to represent the interdependencies between the states and the state transition events.

Abstract: A method and system for event pattern (EP) guided content services are disclosed. A service entity may receive sensor events from a plurality of users, the sensor events corresponding to behavior data detected from the plurality of users, identify content creator candidates from among the plurality of users based on a pattern of events which correspond to sensor events received from an active user, select a content creator from among the content creator candidates based on a best match to the pattern of events, transmit a request for content of the selected content creator, deliver content created by the content creator to the active user, and monitor progress of the active user based on a playback of the content by the active user.

Abstract: A method and system for event pattern (EP) guided content services are disclosed. A service entity may receive sensor events from a plurality of users, the sensor events corresponding to behavior data detected from the plurality of users, identify content creator candidates from among the plurality of users based on a pattern of events which correspond to sensor events received from an active user, select a content creator from among the content creator candidates based on a best match to the pattern of events, transmit a request for content of the selected content creator, deliver content created by the content creator to the active user, and monitor progress of the active user based on a playback of the content by the active user.

Abstract: A method and apparatus for dynamic adjustment of user profiles for a bundled application is disclosed. Multi-dimensional characteristic attributes of a plurality of players may be tracked and utilized to improve player experience, player retention, and detect abnormal behavior in game play. Player performance and interest may be assessed in real-time. Game independent characteristic attributes are defined for player profiles and are used to adjust a player's experience or preference level based on gaming results such as win-loss scores. Characteristic weights for a player's characteristic attributes are also defined. Methods and apparatus to select game sessions and players with similar interests or experiences are also disclosed. Methods for detecting abnormal patterns in game session behavior are also disclosed. Methods and apparatus for allowing users to opt out of the calibrations process are also disclosed.

Abstract: Methods and systems may be used automated profiling and context dependent cooperative Internet of Things (IoT) management operations. Sensor data may be received from a plurality of devices, arranged into states, and categorized to generate a plurality of behavior categories. State transitions of the sensor data may be detected to generate state transition events. Interdependencies between the states and the state transition events may be analyzed using sets of event pattern detection rules. Actionable event patterns (AEPs) may be created and run based at least on the states and the state transition events to detect combinations of behavior patterns. Control actions and/or alerts may be sent to devices/users based on the detected combinations of behavior pattern. An interdependency graph (IDG) may be generated and/or displayed to users to represent the interdependencies between the states and the state transition events.

Abstract: A method and system for facilitating the transfer of game or virtual reality (VR) state information is disclosed herein. An Event Pattern Detection engine may receive a periodic update of a game/VR state of a Source Game/VR Client and detect a trigger for transfer of the game/VR state based on the periodic update. The Event Pattern Detection engine may then send a message for transfer of the game/VR state to a Game/VR State Transfer Engine. The Game/VR State Transfer Engine may send a request for the game/VR state to a Game/VR Server and may receive the game/VR state from the Game/VR Server. The Game/VR State Transfer Engine may send the game/VR state to a Destination Game/VR Client and receive a confirmation of the receipt of the game/VR state by the Destination Game/VR Client. The Game/VR State Transfer Engine may send a Game/VR State Transfer Complete message to the Game/VR Server.

Abstract: Methods and systems are disclosed herein to provide real-time shadowing service architectures and workflows to support dynamic event pattern parameter configuration, collection, filtering, learning, and profiling for users of one or more interactive platforms. The real-time shadowing service may receive a subset of application specific tags, generate tag values for the tags in the subset based on user behavior, and report the values for the tags in the subset. Further, the real-time shadowing service may collect data based on a list of tags for an engagement level related parameter vector (E.V.) and a competence level related parameter vector (C.V.). Further, the real-time shadowing service may map E.V. and C.V. for an event of interest (EoI) to an engagement level (E.L.) and competence level (C.L.) based on a model. The real-time shadowing service may also generate alerts based on detection rules, E.L. and C.L., and transmit the alerts.

Abstract: Reverse auction methods and systems are disclosed herein and include fast multi-round auction methods and services to pervasive mobile applications, supporting mobile users in a location sensitive environment. A buyer agent, on behalf of a buyer, may generate a reverse auction request and then monitor auction rounds of an auction initiated based on the request. The buyer agent may terminate the reverse auction upon the auction reaching a maximal round or terminal condition, or executing an optimization policy. The optimization policy may include local optimization. The local optimization may be based on the location of a buyer and seller in a small cell network (SCN). A seller agent may calculate a bidding price based on a seller's acceptable price range and an available time window. The seller agent may determine a time to stop bidding based on bidding price rules. An auction service may select N sellers for each buyer.

Abstract: Methods and apparatuses are described herein to identify the anonymous events which may belong to the same customer by providing inter-event virtual linkage sequence to link anonymous behavior data from multiple independent sessions. The behavior data may be encrypted without tracking or storing all other types of data such as contact information. An anonymous user may be identified and categorized based on rhythms of predictive behavior pattern sequences by extracting signatures the rhythms to provide fast content based search to identify one or more similar behavior event patterns from a set of data. The signatures may include multiple time series vectors, which may be matched to unique patterns. Personalized services may be offered to anonymous offer pools and may be based on event patterns categories defined and detected by customized rules. The application or game may use the data collection inter-session virtual link to pull the service offer.

Abstract: Embodiments for sharing a web session with privacy protected content with a between a primary user and a secondary user is described. A request may be transmitted to a service server by the primary user. The request may include a command to create a shared session to share portions of a web session with the secondary user and a first uniform resource locator (URL) corresponding with the web session to be shared. The primary user may mark content of the webpage as privacy protected content, which may not be shared with the secondary user. The privacy protected content may be replaced by content targeted to the secondary user during the shared session. The parameters and marked content may be transmitted to the service server. The primary user may receive a second URL for the shared session and may transmit it to the secondary user.

Abstract: Detection and/or remediation of application user experience issues by detecting and/or correcting only network level QoS or QoE problems that affect user performance on a specific task or for a specific category of user, triggering remedial actions based on past experience of the effectiveness of the remedial action to a specific performance indicator, where the remedial actions may be sponsored by third parties, and/or providing remedial actions to maintain user performance and/or satisfaction beyond QoS parameter adjustment.

Abstract: Personalized interrupt mechanism for users of computing devices where users may specify when and how they choose to be interrupted by mobile applications, games, in-app and in-game events, email, text, and other notifications based on application context and user preference. In some implementations, criteria for interruptions may be refined using machine learning techniques.

Abstract: Embodiments include systems and methods for managing access to receive chains of a multi-subscription multi-standby (MSMS) communication device. A device processor may determining a receive mode of the MSMS communication device. In response to determining that the receive mode is a diversity sharing mode, the device processor may monitor a data loss from the broadcast data stream, and may determine a first subscription schedule and a second subscription schedule. The device processor may determine that the data loss is greater than or equal to a threshold, and the device processor may determine that there is an upcoming overlap between the first subscription schedule and the second subscription schedule. The device processor may prevent the second subscription from using the second receive chain.

Abstract: A computer system for managing an in-store aisle, the computer system including a camera that captures a video in a retail store, and a computer connected to the camera, wherein the computer extracts a position of at least one customer who appears in the video captured by the camera and one or more kinds of emotion of the at least one customer at the position based on the video captured by the camera, and stores and manages a most-extracted emotion of the at least one customer in an aisle in which the at least one customer is positioned as information on the aisle.

Abstract: A computer system for managing a workforce includes a camera that captures a video in a retail store, and a computer connected to the camera, wherein when the computer determines that there is a customer not being assisted by an employee and lingering in a particular place in the store based on the video captured by the camera in the store, the computer directs the employee or another employee to assist the customer lingering in the particular place while prioritizing the customer lingering in the particular place over another customer lingering in a place other than the particular place.

Abstract: A method is provided for detecting a threat in a distributed multi-camera surveillance system. The method includes: monitoring movement of an object in a field of view of a first camera using software installed at the first camera; detecting a suspicious object at the first camera when movement of the object does not conform with a motion flow model residing at the first camera; sending a tracking request from the first camera to a second camera upon detecting the suspicious object at the first camera; monitoring movement of the object in a field of view of the second camera using software installed at the second camera; assigning threat scores at the second camera when the movement of the object does not conform with a motion flow model residing at the second camera; and generating an alarm based in part on the threat scores detected at the first camera and the second camera.

Abstract: A surveillance system which improves accuracy and robustness of abnormal behavior detection of a monitored object traversing a space includes a metadata processing module, a model building module, and a behavior assessment module. The metadata processing module generates trajectory information for a monitored object and determines attributes of the monitored object. The model building module generates and updates normal motion models based on at least one of the trajectory information, the attributes, and an abnormal behavior score. The behavior assessment module generates the abnormal behavior score based on one of a plurality of methods. A first one of the plurality of methods defines wrong direction behavior. A second one of the plurality of methods defines wandering/loitering behavior. A third one of the plurality of methods defines speeding behavior.

Abstract: A video surveillance system is disclosed. The system includes a model database storing a plurality of models and a vector database storing a plurality of vectors of recently observed trajectories. The system includes a model building module that builds a new motion model corresponding to the motion data of the current trajectory data structure. The system generates a current trajectory data structure having motion data and abnormality scores. The system also includes a database purging module configured to determine a subset of vectors that is most similar to the current trajectory data structure based on a measure of similarity between the subset of vectors and the current trajectory data structure. The database purging module is further configured to replace one of the motion models in the model database with the new motion model based on an amount of vectors in the subset vectors the recentness of the subset of vectors.

Abstract: A system for improving site operations by detecting abnormalities includes a first sensor abnormality detector connected to a first sensor and configured to learn a first normal behavior sequence, a second sensor abnormality detector connected to a second sensor and configured to learn a second normal behavior sequence, an abnormality correlation server configured to receive abnormally scored first sensor data and abnormally scored second sensor data, the abnormality correlation server further configured to correlate the received abnormally scored first sensor data and abnormally scored second sensor data sensed at the same time by the first and second sensors and determine an abnormal event; and an abnormality report generator configured to generate an abnormality report based on the correlated the received abnormally scored first sensor data and abnormally scored second sensor data.