Abstract: An epidermis pattern detection unit detects epidermis patterns in an epidermis image captured from the epidermis of skin by an epidermis image capturing unit. An acquired element analysis unit analyzes uniformity of shapes of the epidermis patterns in the epidermis image. A texture evaluation unit evaluates a texture state of the skin based on the uniformity of shapes of the epidermis patterns. The present technology, for example, may be applied to systems that evaluate the texture state of the skin.

Abstract: Systems and methods provide, implement, and use using a computer-vision based methods of context-sensitive monitoring and characterization of driver behavior. Additional systems and methods are provided for unsupervised learning of action values, monitoring of a driver's environment, and transmitting visual information from a client to a server.

Abstract: The invention concerns a method for determining zones in images captured by the camera embedded in a handheld mobile device. An object in front of the camera is captured and a stream of images captured by said camera is generated, said object appearing in the visual content of said images stream. The method comprises a step of analysis the visual content of the image stream and a step of determining at least one zone in each analyzed image, the zone said “stable” having visual similarity with a zone in each or most of the other images in the stream, said stable zone identifying the object taken by the mobile device. In this manner, the number of zone identifying the object decreases and the matching between a query image and images read from databases is quicker. Moreover, the processing and storage complexity of the index system is more efficient, as well as the geometric verification performed during the matching of images.

Abstract: Disclosures herein teach applying a set of sections spanning a down-sampled version of an image of a road-scene to a low-fidelity classifier to determine a set of candidate sections for depicting one or more objects in a set of classes. The set of candidate sections of the down-sampled version may be mapped to a set of potential sectors in a high-fidelity version of the image. A high-fidelity classifier may be used to vet the set of potential sectors, determining the presence of one or more objects from the set of classes. The low-fidelity classifier may include a first Convolution Neural Network (CNN) trained on a first training set of down-sampled versions of cropped images of objects in the set of classes. Similarly, the high-fidelity classifier may include a second CNN trained on a second training set of high-fidelity versions of cropped images of objects in the set of classes.

Abstract: Systems and methods that allow transfer and display rules to be defined based on one or more of several attributes, such as a particular user, site, device, and/or image/series characteristic, as well as whether individual images and/or image series are classified as thin slices and/or based on other characteristics, and applied to medical images in order to determine which images and/or image data are analyzed, downloaded, viewed, stored, rendered, processed, and/or any number of other actions that might be performed with respect to medical image data. The system and methods may include image analysis, image rendering, image transformation, image enhancement, and/or other aspects to enable efficient and customized review of medical images.

Abstract: Techniques for image captioning with weak supervision are described herein. In implementations, weak supervision data regarding a target image is obtained and utilized to provide detail information that supplements global image concepts derived for image captioning. Weak supervision data refers to noisy data that is not closely curated and may include errors. Given a target image, weak supervision data for visually similar images may be collected from sources of weakly annotated images, such as online social networks. Generally, images posted online include “weak” annotations in the form of tags, titles, labels, and short descriptions added by users. Weak supervision data for the target image is generated by extracting keywords for visually similar images discovered in the different sources. The keywords included in the weak supervision data are then employed to modulate weights applied for probabilistic classifications during image captioning analysis.

Abstract: Techniques for image captioning with word vector representations are described. In implementations, instead of outputting results of caption analysis directly, the framework is adapted to output points in a semantic word vector space. These word vector representations reflect distance values in the context of the semantic word vector space. In this approach, words are mapped into a vector space and the results of caption analysis are expressed as points in the vector space that capture semantics between words. In the vector space, similar concepts with have small distance values. The word vectors are not tied to particular words or a single dictionary. A post-processing step is employed to map the points to words and convert the word vector representations to captions. Accordingly, conversion is delayed to a later stage in the process.

Abstract: A method and apparatus for automatically performing medical image analysis tasks using deep image-to-image network (DI2IN) learning. An input medical image of a patient is received. An output image that provides a result of a target medical image analysis task on the input medical image is automatically generated using a trained deep image-to-image network (DI2IN). The trained DI2IN uses a conditional random field (CRF) energy function to estimate the output image based on the input medical image and uses a trained deep learning network to model unary and pairwise terms of the CRF energy function. The DI2IN may be trained on an image with multiple resolutions. The input image may be split into multiple parts and a separate DI2IN may be trained for each part. Furthermore, the multi-scale and multi-part schemes can be combined to train a multi-scale multi-part DI2IN.

Abstract: The present disclosure provides a method of image processing comprising: obtaining by an imaging device a low resolution version and a high resolution version of a retail image, the high resolution version of the retail image being a temporary file to be erased automatically after a predetermined time period; transmitting to a server the low resolution version of the retail image; upon receipt of a request from the server, the request including data representative of a contour of an unidentified item in the low resolution version of the retail image, cropping a high resolution item image from the high resolution version of the retail image, the high resolution item image corresponding to the contour of the unidentified item; and transmitting the high resolution item image to the server thereby enabling updating an item database.

Abstract: A data processing apparatus selects a processing scheme for target data from among candidates by using a degree of compression of the target data as an index, and performs data processing on the target data by using the selected processing scheme. The candidates include a processing scheme in which data which has been compressed is subjected to the data processing, and a processing scheme in which data is expanded and then subjected to the data processing.

Abstract: This is directed to defining the orientation in which a document is printed from the orientation of the device on which the document is displayed. In particular, some electronic devices can have limited user interfaces that do not provide for a simple or elegant interface for defining print settings. To overcome limitations in a displayed user interface, the orientation of an electronic device can be used to define the print orientation of a displayed document. In particular, a motion-sensing component of an electronic device can determine whether the electronic device display is in a portrait or landscape orientation, and define the page orientation of the displayed document to match the determined device orientation. The electronic device can then transmit the document, in the defined page orientation, to a printer system for printing in the desired page orientation.

Abstract: According to one embodiment, an IC card includes a communication unit, a magnetic field strength determination unit, and a magnetic field strength transmission processing unit. The communication unit transmits/receives data to/from an external apparatus in a non-contact manner. The magnetic field strength determination unit determines a magnetic field strength necessary to execute processing. The magnetic field strength transmission processing unit causes the communication unit to transmit, to the external apparatus, information indicating the magnetic field strength determined by the magnetic field strength determination unit.

Abstract: A wireless identification (RFID) tag, an electronic product PCB having same, and an electronic product management system using the RFID tag. The RFID tag includes an insulating means, a pair of upper terminals provided on the upper surface of the insulating means, a tag chip connected to the upper terminals, and a pair of lower terminals provided on the lower surface of the insulating means so as to face the upper terminals. The lower terminals are connected to first and second patterns of an electronic product PCB. When a radio wave radiated from a reader-writer is received in the first and second patterns, reactive coupling through an electric field is created between the upper and lower terminals, which are then electrically connected to the upper terminals. Since the pattern already formed in the PCB is used as an antenna, there is no need to form a dedicated antenna pattern.

Abstract: A high speed tabletop and industrial printer is disclosed with integrated high speed RFID encoding and verification at the same time. The industrial printer simultaneously prints on and electronically encodes/verifies RFID labels, tags, and/or stickers attached to a continuous web. The industrial printer comprises a lighted sensor array for indexing the printing to the RFID tags; and a cutter powered from the industrial printer for cutting the web that the RFID tags are disposed on. The industrial printer comprises two RFID reader/writers that are individually controlled. Specifically, one of the RFID reader/writers comprises the ability to electronically encode the RFID tags while the web is moving; and the second RFID reader/writer uses an additional RFID module and antenna on the printer for verifying the data encoded to the RFID tags.

Abstract: Card processing mechanisms and methods whereby after a card has been processed on one surface thereof at a card processing station such as, but not limited to, a card printing mechanism, the card can be recirculated back upstream of the card processing station along a return card travel path that is separate from the primary card travel path through the card processing station where the card can then be reintroduced back into the primary card travel path and transported through the card processing station a second time. As the card is being returned along the return card travel path, the card can be flipped over so that when the card is transported back through the card processing station, the opposite surface of the card can be processed.

Abstract: A succession of conversations is facilitated between a user of a device and a non-human companion portrayed on the device, to develop a relationship between the user and the nonhuman companion over a time period that spans the successive conversations. The relationship is developed between the user and the non-human companion to cause a change in a state of the user over the time period. A conversation is facilitated by presenting a segment of speech of the non-human companion to the user and detecting a segment of speech of the user, the segments including a portion of the conversation. At the device, information is received from an intelligent agent about a next segment of speech to be presented to the user, as determined by the intelligent agent based on intelligent processes applied to the segment of speech of the user and to the change in state to be caused.

Abstract: In one aspect, this specification describes a recurrent neural network system implemented by one or more computers that is configured to process input sets to generate neural network outputs for each input set. The input set can be a collection of multiple inputs for which the recurrent neural network should generate the same neural network output regardless of the order in which the inputs are arranged in the collection. The recurrent neural network system can include a read neural network, a process neural network, and a write neural network. In another aspect, this specification describes a system implemented as computer programs on one or more computers in one or more locations that is configured to train a recurrent neural network that receives a neural network input and sequentially emits outputs to generate an output sequence for the neural network input.

Abstract: Embodiments are disclosed for predicting a response (e.g., an answer responding to a question) using an end-to-end memory network model. A computing device according to some embodiments includes embedding matrices to convert knowledge entries and an inquiry into feature vectors including the input vector and memory vectors. The device further execute a hop operation to generate a probability vector based on an input vector and a first set of memory vectors using a continuous weighting function (e.g., softmax), and to generate an output vector as weighted combination of a second set of memory vectors using the elements of the probability vector as weights. The device can repeat the hop operation for multiple times, where the input vector for a hop operation depends on input and output vectors of previous hop operation(s). The device generates a predicted response based on at least the output of the last hop operation.

Abstract: A convolutional neural network comprises a plurality of artificial neurons arranged in one or more convolution layers, each convolution layer comprising one or more output matrices, each output matrix comprising a set of output neurons, each output matrix being connected to an input matrix, comprising a set of input neurons, by artificial synapses associated with a convolution matrix. The convolution matrix comprises the weight coefficients associated with the output neurons of the output matrix, the output value of each output neuron being determined from the input neurons of the input matrix to which the output neuron is connected and the weight coefficients of the convolution matrix associated with the output matrix. Each synapse consists of a set of memristive devices comprising at least one memristive device, each set of memristive devices storing a weight coefficient of the convolution matrix.

Abstract: Weighted population code in neuromorphic systems is provided. According to an embodiment, a plurality of input values is received. For each of the plurality of values, a plurality of spikes is generated. Each of the plurality of spikes has an associated weight. A consumption time is determined for each of the plurality of spikes. Each of the plurality of spikes is sent for consumption at its consumption time.

Abstract: Provided are nucleic acid translators capable of carrying out logic operations with improved efficiency, maximized output and reduced off-target effects, in particular in a biological system. Methods of using these translators to transduce signal are also provided.

Abstract: A system, method, and a computer program product are provided for evaluating an analogical pattern by applying natural language processing to an information source to identify analogical pattern terms in a first analogical pattern, applying deep analysis to refine the analogical pattern terms based on semantic analysis to form metadata for the first analogical pattern, generating interpretations of different combinations of the first analogical pattern terms and the metadata, and then scoring each interpretation for each of the different combinations to select a first interpretation exceeding a predetermined threshold for interpretation of the analogical pattern, thereby evaluating the first analogical pattern.

Abstract: A method and a computerized system programmed to carry out the method of predicting the capacity of a public-transport vehicle for passengers to board at the stop and for displaying this predicted capacity on remote computer devices or service screens is provided. The method comprises a prediction process and a data procurement process. The capacity of the public-transport vehicle for passengers to board at the stop is predicted in the prediction process by combining measurements of a filling level of the public-transport vehicle when the public-transport vehicle is at the stop or approaching the stop, which are performed in the course of the data procurement process, with a number of passengers expected to alight the public-transport vehicle.

Abstract: A processing device executing a rule engine receives a first object. The processing device determines whether the first object is represented by a relational model or an object-oriented model. The first object is determined to be represented by the relational model responsive to the first object lacking a reference to a nested object. The first object is determined to be represented by the object-oriented model responsive to the first object including a reference to a nested object. If the first object is represented by the relational model, a join is performed between the first object and a second object based on a relationship between the objects using a first node. If the first object is represented by the object-oriented model, an expression of the first object is evaluated to navigate to a third object that is a first nested object of the first object using a second node.

Abstract: A system, method and program product for recommending a network resource provider to a resource consumer. An interactive recommendation engine for determining a recommendation of a network resource provider is provide and includes: a requirements collection manager that collects a set of requirements for an organization and includes: a query management system that provides an interactive platform for implementing a natural language dialog with a user; and a semantic analysis system that analyzes inputs from the user to identify requirements and formulate outputs to the user; a provider data curation manager that curates structured and unstructured provider information into a provider knowledgebase; and a decision analytics system that analyzes the set of requirements and provider knowledgebase to identify a recommended resource provider.

Abstract: The networked computers for inferring and foretelling needs, necessities and utilizations of tangible and intangible resources and assets having the innovative computer programs for instructing and specifying networked repositories what to and how to structure, express and manifest individual repositories-specific data in and among networked repositories wherein an innovative system of analogies effect networked repositories to synchronously and spontaneously get, push and render, receive and reverse compose same, equivalent and similar meaningful and comprehensible associations of data, expressions and manifestations.

Abstract: A computer-based system and associated processes are disclosed for making personality-related recommendations to an entity. The system receives indications of one or more personality attributes of an entity. The system acquires indications of one or more personality attributes of a desired partner of the entity. The system applies a mathematical model to the one or more personality attributes of the entity and the one or more personality attributes of the desired partner of the entity. The mathematical model calculates one or more recommended changes to the personality attributes of the entity to increase a predicted relationship satisfaction score between the entity and the desired partner. The system selects a recommended action from a database of recommended actions, based at least in part on the recommended changes to the personality attributes of the entity. The system presents the recommended action.

Abstract: A method and system adaptively improves potential customer conversion rates, revenue metrics, and/or other target metrics by providing effective user experience options, from a variety of different user experience options, to some users while concurrently testing user responses to other user experience options, according to one embodiment. The method and system selects the user experience options by applying user characteristics data to an analytics model, according to one embodiment. The characteristics of the analytics model are adjusted and/or tuned to control/reduce uncertainty in identifying effective user experience options, according to one embodiment. The method and system analyzes user responses to the user experience options to update the analytics model, and to dynamically adapt the personalization of the user experience options, at least partially based on feedback from users, according to one embodiment.

Abstract: The disclosure relates to technology for identifying a root cause of anomalous behavior in a communications network. A key quality indicator (KQI) indicative of a performance level associated with a source is received in the communication network. The KQI includes a performance measurement value to identify a performance level of the source having the anomalous behavior. An improved KQI indicative of a level of degradation is calculated based on the anomalous behavior at the source by recovering the KQI to a historical value. Sources of the anomalous behavior are clustered into subsets according to the level of degradation based on the calculated KQI improvement. A global or partial degradation type of the root cause source in the subset having a severe level of degradation is determined using hypothesis testing, and a confidence value is provided for the accepted degradation type.

Abstract: The invention provides a method for data analyzing. The method comprises receiving a data, and decomposing the data into a plurality of intrinsic mode functions (IMFs) by utilizing an empirical mode decomposition (EMD) method, wherein the IMFs are a value changes over time of the data in different frequencies. The method further comprises obtaining a plurality of probability density functions based on accumulating the distribution of each IMF according to a longest mean time scale, and generating an intrinsic probability distribution function (iPDF) component spectrum, wherein the iPDF component spectrum comprises the distribution of probability density functions between a frequency dimensional and a standard deviation dimensional. This invention result of the method can be used as a diagnosis tool implementing in a system.

Abstract: A system and method improves the probability of correctly detecting an object from a collection of source data and reduces the processing load. A plurality of algorithms for a given data type are selected and ordered based on a cumulative trained probability of correctness (Pc) that each of the algorithms, which are processed in a chain and conditioned upon the result of the preceding algorithms, produce a correct result and a processing. The algorithms cull the source data to pass forward a reduced subset of source data in which the conditional probability of detecting the object is higher than the a priori probability of the algorithm detecting that same object. The Pc and its confidence interval is suitably computed and displayed for each algorithm and the chain and the final object detection.

Abstract: A method, system, and computer program product for performing cognitive-based dynamic tuning of a software-based system include monitoring live operation of the system, and determining whether tuning is needed based on the monitoring. Analyzing information and suggesting a change in one or more parameters is based on the determining, the information including an output of a learning algorithm that learns an effect of changes in one or more of the one or more parameters on performance of the system.

Abstract: A computer implemented method of automatically creating a classification function trained with augmented representation of features extracted from a plurality of sample media objects using one or more hardware processors for executing a code. The code comprises code instructions for extracting a plurality of features from a plurality of sample media objects, generating a plurality of feature samples for each of the plurality of features by augmenting the plurality of features, training a classification function with the plurality of features samples and outputting the classification function for classifying one or more new media objects.

Abstract: In one embodiment, a computer-implemented method for action-aware communication and conversation prioritization includes: identifying an importance of one or more parties to a communication or conversation; evaluating content of the communication or conversation to identify one or more features of the communication or conversation; assessing an importance of the content included in the communication or conversation based on one or more of the identified features; determining an urgency of the communication or conversation based on one or more of the identified features; and prioritizing the communication or conversation based at least in part on the importance of one or more of the parties, the importance of the content, and the urgency of the communication or conversation. The method is adaptive in a continuous manner based on user actions responsive to the communication or conversation. Related systems and computer program products are also disclosed.

Abstract: A machine learning hardware accelerator architecture and associated techniques are disclosed. The architecture features multiple memory banks of very wide SRAM that may be concurrently accessed by a large number of parallel operational units. Each operational unit supports an instruction set specific to machine learning, including optimizations for performing tensor operations and convolutions. Optimized addressing, an optimized shift reader and variations on a multicast network that permutes and copies data and associates with an operational unit that support those operations are also disclosed.

Abstract: A system, method and program product for providing rerouting options for airline travelers. A system is disclosed that includes: a passenger scanning system that detects enabled mobile devices in geospatial zones associated with a plurality of airports; a passenger management system that verifies passengers associated with detected enabled mobile devices, retrieves itineraries for verified passengers, and handles communications with verified passengers; an itinerary management system that monitors for special conditions associated with retrieved itineraries and handles itinerary modifications in response to identified special conditions; and a passenger database that stores state information for each verified passenger.

Abstract: A system and method are disclosed for establishing and maintaining a shared, flexible electronic-calendar network with varying permission, notification, sharing, and functionality options, In some implementations, an integrated, flexible, electronic calendar system and method may enable users and groups to acquire, maintain, and share tickets associated with calendared events.

Abstract: First transaction data is accessed that was generated during monitoring of a first plurality of transactions performed by a software system during a first time period. A first set of transaction flows is determined from the first transaction data that describe involvement of a first set of software components of the software system in the first plurality of transactions. Second transaction data is accessed that was generated during monitoring of a second plurality of transactions performed by the software system during a second time period. A second set of transaction flows is determined from the second transaction data, the second set of transaction flows describing involvement of a second set of software components of the software system in the second plurality of transactions. A delta is determined between the first and second sets of transaction flows and a graphical representation of the delta is generated for presentation on a display.

Abstract: Transaction data is accessed that was generated during monitoring of a plurality of transactions involving a plurality of software components in a system. A flow of a first one of the transactions is determined from the transaction data, the flow describing involvement of a first subset of the plurality of software components in the first transaction and a plurality of transaction fragments of the first transaction. A graphical representation of the flow is generated for presentation in a graphical user interface (GUI) that includes a set of graphical block elements and a set of graphical connector elements, each of the graphical block elements representing a respective one of the plurality of software components, and each of the graphical connector elements representing a respective one of the plurality of transaction fragments. A user input is received through the GUI to tag one of the elements of the graphical representation.

Abstract: In an airport baggage handling system bag information, flight information and airport topology information are provided to a central processor which determines a path for the bag through the handling system. The bag is scanned at various points along the path and the scan time is compared with a predetermined arrival time for the bag at the scan point. A bag is marked at risk if it arrives at a scan point after the predetermined time and the system may suggest an alternative handling path for the bag if it is determined that the risk of the bag not making an outbound flight is too high.

Abstract: The present invention provides methods and systems for determining the play value of a playground, the challenge level of a playground, or both. In some embodiments, the methods and systems may propose modifications to a playground that would result in an effective and efficient increase in the play value of the playground, a desired increase or decrease in the challenge level of the playground, or both. Further, in some embodiments, the methods and systems may be configured to provide comparisons of various playgrounds in order to determine which playgrounds are of greatest play value. In some embodiments, the methods and systems may be incorporated into software that is configured for the design of playgrounds.

Abstract: Optimizing task allocation requires taking into account cognitive load on workers and their response time to allocated tasks. The present disclosure provides for allocation of task by receiving data pertaining to current activity of workers; receiving data pertaining to at least one task to be allocated and determining activity-task pairs based on an activity feature vector corresponding to at least one human body part used during the current activity and a task feature vector corresponding to at least one human body part required for the at least one task to be performed by the workers. Cognitive load on the workers is then estimated for the determined activity-task pairs. An optimum activity-task pair based on the estimated cognitive load is determined and at least one task is allocated to the workers based on the determined optimum activity-task pair.

Abstract: Provisioning and management of virtual machines and shared processor pools to process the virtual machines is provided. Shared processor pool(s) of processing units are established on server(s) of a cluster. The shared processor pool(s) are to process virtual machines to execute an application for which licensing cost is determined based on a number of processing units used to process the virtual machines executing the application. Provision of the virtual machines into the shared processor pool(s) and assignment of the processing units to the shared processor pool(s) is managed, which controls the number of processing units dedicated to processing the virtual machines executing the application, to thereby control licensing costs of executing the application. The managing can provision at least two virtual machines for different tenants into a common shared processor pool of the one or more shared processor pools.

Abstract: Techniques for positioning energy infrastructure such as petroleum well pads, and related access roads and gathering pipelines are disclosed. In one embodiment, a system for positioning energy infrastructure comprises one or more processors. The one or more computer processors are configured to receive user input. The user input comprises a boundary where energy infrastructure is placed within and additional features to consider when positioning energy infrastructure. The one or more processors are further configured to store, in a shareable format, a plurality of layouts for the energy infrastructure and associated metrics and parameters based on the user input and base datasets. The base datasets comprise spatial datasets. The base datasets may also comprise default values for input parameters. The one or more processors are further configured to output, on a display device, the plurality of layouts for the energy infrastructure and the associated metrics and parameters.

Abstract: Systems, methods, and other embodiments associated with generating a price schedule are described. A inventory quantity for the item is allocated amongst a plurality of customer segments based at least on a predicted contribution of each customer segment to the objective function. For each customer segment, based at least on a quantity of inventory allocated to the customer segment, a promotion portion of the price schedule is determined that maximizes the objective function. A quantity of remaining inventory allocated to the plurality of customer segments at the end of the regular season is aggregated. Based at least on the aggregated inventory, a markdown portion of the price schedule for the item is determined that maximizes the objective function. The promotion portion and the markdown portion are combined to create a price schedule for the item.

Abstract: Aspects provide for selective location of supplies of goods based on dynamic population density and travel distance metrics. Consumer population density forecasts are determined for different geographic locations as functions of distances to different events having different population amounts and geographic population locations. A geographic maximal density location point is determined between geographic locations of the different events and that is located at different distances from the locations of different events as a function of differences in respective consumer population density forecasts for the events, and closer to an event location with a higher consumer population density forecast relative to the location of another event. A quantity of goods is allocated to a supply site that is located at the maximal density location point in an amount selected to maximize a business value of the goods as a function of a population distribution of the maximal density location point.

Abstract: Methods and apparatuses are provided to automatically identify overstated perpetual inventory (PI) conditions regarding an inventory level of an item in a retail space. For example, in some embodiments, a method performed by a control circuit comprises determining (504) that, a plurality of times, an item for sale at a retail store sells within a defined tolerance of a non-zero inventory quantity value and then stops selling for a period of time; and making (506) a determination that an overstated PI condition exists with respect to an inventory level of the item at the retail store. In some embodiments, the overstated PI condition is automatically quantified and may be automatically corrected.

Abstract: A set of proof correlation processes for identifying the two equal-length ranges (corresponding to time periods) contained within two discrete time data series (one range per series) that exhibit the highest correlation score when evaluated by a method that mimic how humans visually assess and score correlation is disclosed. The set of proof correlation processes include scoring the strength of correlation exhibited by ranges of data values corresponding to time periods and within two discrete time data series, and determining the number of time intervals that the variable series must be shifted (either forward or backward in time) with respect to the static series to exhibit the maximum correlation score for the given range pairs.

Abstract: Logistical operations (e.g., warehouses) may use a voice-enabled workflow to facilitate the work tasks of a staff (i.e., population) of workers. Typically, it is necessary for a worker to travel from location-to-location to complete assigned work tasks. As such, a worker's time spent travelling often correlates with the worker's overall work performance. Understanding the worker's travel performance is highly desirable, but computing a fair and accurate travel-performance metric is difficult. One reason for this is that the distance a worker travels is often unknown. The present invention embraces a system and method for accurately and fairly assessing a worker's travel performance by analyzing the worker's voice dialog.

Abstract: Systems and methods for providing feedback to an operator of an industrial machine. One system includes a controller including an electronic processor. The electronic processor is configured to monitor at least one operating parameter of the industrial machine, determine a plurality of performance metrics based on the at least one operating parameter, and select a subset of the plurality of performance metrics based on a selection criterion. The electronic processor is also configured to display the subset of the plurality of performance metrics to an operator of the industrial machine during operation of the industrial machine.