Abstract: Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to instruct a user device of a user to capture first sensor data of an object performing one or more known actions. The system also includes a training controller to allocate points as an award to the user of the user device for correctly capturing the object performing the one or more known actions, and to generate an instruction for the user to capture second sensor data of the object performing one or more unknown actions if the user has exceeded a threshold of awarded points. The training controller trains a machine learning function based on the second sensor data of the object performing the one or more unknown actions as identified by the user having exceeded the threshold of awarded points.

Abstract: Extended reality systems, apparatus, and methods for musculoskeletal ergonomic improvement are disclosed. An example apparatus includes an avatar generator to generate an avatar based one or more properties of a user; an avatar position analyzer to determine a first ergonomic form for a movement based on the one or more properties of the user, the avatar generator to cause an output device to display the avatar in the first ergonomic form; and a feedback generator to determine a second form associated with movement of the user based on sensor data collected via one or more sensors associated with the user; generate a graphical representation of the user in the second form; and cause the output device to display the graphical representation of the user with the avatar.

Abstract: Systems, apparatus, and methods for musculoskeletal ergonomic improvement are disclosed. An example apparatus includes a performance analyzer to predict a musculoskeletal strain event for a portion of a body of a user based on strain sensor data collected via one or more strain sensors associated with the user and transmit, in response to the prediction of the strain event, an instruction including an alert to be output by the output device. The example apparatus includes an ergonomic form recommendation generator to transmit, in response to the prediction of the strain event, an instruction including an ergonomic form measure to be output by the output device.

Abstract: Ergonomics improvement systems having wearable sensors and related methods. An example ergonomics improvement system includes an encoder system to couple to a limb of a body. The encoder sensor system to generate first outputs in response to movement of the limb relative to the body to determine a position of the limb relative to the body. The system includes a load sensor to generate a second output representative of a load carried by the body and a position sensor to generate a third output representative of a position of a right foot of the body relative to a position of a left foot of the body.

Abstract: Methods and devices for searching for a missing person. Data sources are accessed through an IP network to obtain information about the missing person. Based on the obtained information, potential scenarios are develop of the current location of the missing person. The information is disseminated to search entities that search the geographic areas of the potential scenarios. Additional information is obtained about the missing person during the search to further develop the potential scenarios and focus the search areas.

Abstract: A computer-implemented method includes searching, by machine learning logic of a computer, a flight schedule database for one or more flight schedule records related to flight preference information specified by a user. The machine learning logic is trained with training data that includes flight schedules selected by passengers and flight preference information associated with the passengers. The method further includes responsive to locating the one or more flight schedule records, communicating, by the computer, flight schedules associated with the one or more flight schedule records to a terminal associated with the user. The method includes receiving, from the terminal, a booking indication associated with a particular flight schedule of the flight schedules and updating the training data to associate the particular flight schedule with the flight preference information specified by the user.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to receive first evaluations of a first scene from a group of trainees, the first scene belonging to safety curriculum content and depicting a worksite with a known hazard that is associated in memory with a hazard profile. The system includes a controller to determine a trusted subgroup of the trainees that correctly identified the known hazard in the first scene. The interface receives second evaluations of a second scene from the trusted subgroup of the trainees that depicts the worksite with an unknown hazard. The controller trains a machine learning function based on the second evaluations from the trusted subgroup of the trainees for automatic identification of hazard indications in the second scene depicting the worksite with the unknown hazard.

Abstract: An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft.

Abstract: An example real-time ad hoc network sensor system includes a plurality of sensors positioned at fixed locations on an aircraft, a plurality of mobile devices in an interior of the aircraft, and a computing device having one or more processors and a non-transitory computer readable medium having stored thereon instructions, that when executed by the one or more processors, cause the computing device to perform functions including receiving outputs from the plurality of sensors and from the sensors of the plurality of mobile devices during the flight of the aircraft, mapping the outputs to a computer model of the aircraft for association with locations in the interior of the aircraft, and based on the mapping, creating a vehicle data-signature-map of the interior of the aircraft for at least one parameter of the aircraft.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to receive first evaluations of a first scene from a group of trainees, the first scene belonging to safety curriculum content and depicting a worksite with a known hazard that is associated in memory with a hazard profile. The system includes a controller to determine a trusted subgroup of the trainees that correctly identified the known hazard in the first scene. The interface receives second evaluations of a second scene from the trusted subgroup of the trainees that depicts the worksite with an unknown hazard. The controller trains a machine learning function based on the second evaluations from the trusted subgroup of the trainees for automatic identification of hazard indications in the second scene depicting the worksite with the unknown hazard.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to instruct a user device of a user to capture first sensor data of an object performing one or more known actions. The system also includes a training controller to allocate points as an award to the user of the user device for correctly capturing the object performing the one or more known actions, and to generate an instruction for the user to capture second sensor data of the object performing one or more unknown actions if the user has exceeded a threshold of awarded points. The training controller trains a machine learning function based on the second sensor data of the object performing the one or more unknown actions as identified by the user having exceeded the threshold of awarded points.

Abstract: A method includes generating a user profile for an authorized user of a mobile device based on behavior patterns associated with the authorized user. The method also includes detecting subsequent user behavior of a particular user during an attempt by the particular user to access the mobile device. The method also includes comparing the subsequent user behavior to the behavior patterns of the user profile to determine whether the particular user is authorized or unauthorized. In response to determining that the particular user is an unauthorized user, the method includes detecting activity by the unauthorized user and performing a countermeasure of a plurality of countermeasures in response to detecting the activity. Each countermeasure of the plurality of countermeasures has a different security level and corresponds to a degree of the activity.

Abstract: A computer-implemented method includes determining, by a computer, whether an image depicts an individual that corresponds to a particular contact associated with a specific social networking goal specified in a goals database. The method further includes responsive to determining that the individual corresponds to the particular contact, retrieving from a contacts database a preferred communication mode and a preferred communication device associated with the particular contact. A meeting request communicated by the computer, to the particular contact via the preferred communication device using the preferred communication mode. The computer receives, and from the preferred communication device, an acceptance of the meeting request. The method also includes adding, by the computer, a record associated with the meeting request to a schedule database.

Abstract: A computer-implemented method includes searching, by machine learning logic of a computer, a flight schedule database for one or more flight schedule records related to flight preference information specified by a user. The machine learning logic is trained with training data that includes flight schedules selected by passengers and flight preference information associated with the passengers. The method further includes responsive to locating the one or more flight schedule records, communicating, by the computer, flight schedules associated with the one or more flight schedule records to a terminal associated with the user. The method includes receiving, from the terminal, a booking indication associated with a particular flight schedule of the flight schedules and updating the training data to associate the particular flight schedule with the flight preference information specified by the user.

Abstract: A device includes a processor configured to detect that a mobile device is within a coverage area of a wireless transceiver. The processor is also configured to select, based at least in part on a mobile device identifier of the mobile device, a data package identifier from a plurality of data package identifiers. The device also includes the wireless transceiver. The wireless transceiver is configured to transmit a command instructing the mobile device to access a data package corresponding to the selected data packet identifier. The command includes authorization data indicating that the processor is a trusted source.

Abstract: An example real-time ad hoc network sensor system includes a plurality of sensors positioned at fixed locations on an aircraft, a plurality of mobile devices in an interior of the aircraft, and a computing device having one or more processors and a non-transitory computer readable medium having stored thereon instructions, that when executed by the one or more processors, cause the computing device to perform functions including receiving outputs from the plurality of sensors and from the sensors of the plurality of mobile devices during the flight of the aircraft, mapping the outputs to a computer model of the aircraft for association with locations in the interior of the aircraft, and based on the mapping, creating a vehicle data-signature-map of the interior of the aircraft for at least one parameter of the aircraft.

Abstract: An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft.

Abstract: Methods and devices for searching for a missing person. Data sources are accessed through an IP network to obtain information about the missing person. Based on the obtained information, potential scenarios are develop of the current location of the missing person. The information is disseminated to search entities that search the geographic areas of the potential scenarios. Additional information is obtained about the missing person during the search to further develop the potential scenarios and focus the search areas.

Abstract: A system for providing products to a customer operates with an open purchase order having an acceptable inventory range bounded by a lower and an upper limit for each product supplied to the customer. The system includes a storage unit, a first processing unit that maintains a product inventory count, and a second processing unit that monitors the product inventory count. A system for transferring electronic files includes a first processing unit that stores and transfers the electronic file, generates a pointer associated with the transferred electronic file, generates a reference electronic file and thereafter includes the pointer in the reference electronic file. A second processing unit then displays the reference electronic file. A system for generating composite electronic files includes a first processing unit having composite locations including component electronic files, and generating the composite electronic files when the respective composite location is accessed from a second processing unit.