Abstract: Methods and systems for predicting injury risk include generating state sequences that precede a hazard event based on information regarding a user's state. A cognitive suite of workplace hygiene and injury predictors (WHIP) is generated based on the state sequences using a processor, wherein the cognitive WHIP predicts a degree of risk correlated with each particular user state sequence. A risk heat map of a workplace is generated based on the cognitive WHIP that encodes regions of greater and lesser risk. An ameliorative action is triggered when a user moves into an area of high risk based on the heat map.

Abstract: A method of avoiding harmful noise levels, the method comprising implementing a cognitive suite of workplace hygiene and injury predictors (WHIP) that has learned to identify noise sources and indicators of harmful noise levels, detecting an indicator, and implementing a corrective action by at least one of altering the operation of a noise source, modifying a time of a scheduled task, or changing prescribed personal protective equipment.

Abstract: A method of avoiding harmful chemical emission concentration levels, the method comprising implementing a cognitive suite of workplace hygiene and injury predictors (WHIP) that has learned to identify chemical emission sources and indicators of harmful chemical emission concentration levels, detecting an indicator, and implementing a corrective action by at least one of altering the operation of a chemical emissions source, modifying a time of a scheduled task, or changing prescribed personal protective equipment.

Abstract: Embodiments include method, systems and computer program products to generate optimal team configuration recommendations. In some embodiments, parameters and project data associated with a project may be received. Employee data may be received from one or more sources. The employee data, the project data, and the parameters associated with the project may be analyzed. A team-member compatibility matrix may be generated using cognitive analysis based on the analyzed employee data, the project data, and the parameters associated with the project. Optimal and para-optimal team configurations may be calculated using the team-member compatibility matrix. A team configuration recommendation may be generated using the optimal and para-optimal team configurations. The team configuration recommendation may be transmitted.

Abstract: Technical solutions are described for verifying attendance at an alarm event. An example method includes receiving a registration of the alarm event, where the registration identifies an alarm device associated with the alarm event, and a location of the alarm event. The method also includes in response to the occurrence of the alarm, sending an alarm message to a user apparatus, where the user apparatus is within a predetermined vicinity of the location. The method also includes, in response to receiving an attendance message from the user apparatus, validating the attendance message based on predetermined conditions, where the predetermined conditions verify that the attendance message was transmitted within a predetermined expiration time and sending a reward message in response to the attendance message being valid.

Abstract: Described herein is a method for alerting of personal risk in the workplace through a wearable indication signifying a risk condition that includes generating a set of workplace predictors of risk relating to accidents, injury, and industrial hygiene, based on at least one worker state that includes at least one of a physical state, a cognitive state, and an emotional state, and alerting a worker endangered by a predicted elevated risk to the existence of the predicted elevated risk by sending a perceivable alert to the worker. A system for alerting of personal workplace risk is also described.

Abstract: A method, system, and computer program product to perform image-based estimation of a risk of a vehicle having a specified status include receiving images from one or more cameras, obtaining one or more vehicle images of the vehicle from the image, classifying the vehicle based on the one or more vehicle images to determine a vehicle classification, extracting features from the one or more vehicle images based on the vehicle classification, and comparing the features with risk indicators to determine estimation of the risk. Instructions are provided for an action based on the risk.

Abstract: There is provided a method for heavy vehicle traffic flow optimization. The method includes determining location information and destination information of qualifying heavy vehicles. The method further includes modifying one or more traffic signal sequences to optimize a traffic flow of the qualifying heavy vehicles responsive to the location information and the destination information. Each of the qualifying heavy vehicles has a respective associated weight greater than a predetermined weight threshold.

Abstract: A method and system are provided. The method includes generating a set of workplace predictors of risk relating to accidents, injury, and industrial hygiene, based on at least one employee state that includes at least one of a physical state, a cognitive state, and an emotional state. The method further includes modifying a behavior of a workplace machine by causing a modification to the workplace machine that changes or limits the behavior of the workplace machine, responsive to the set of workplace predictors.

Abstract: Embodiments are directed to a computer implemented counterproductive interaction identification system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a decision engine configured to determine, based at least in part on the derived cognitive trait of the user, that the user is a target or a source of an actual or an impending counterproductive interaction.

Abstract: Embodiments are directed to a computer implemented counterproductive interaction identification system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a decision engine configured to determine, based at least in part on the derived cognitive trait of the user, that the user is a target or a source of an actual or an impending counterproductive interaction.

Abstract: An information processing system, computer readable storage medium, and methods for analyzing the airflow related health of a person. A method includes obtaining an audio sample of a person's verbal communication, obtaining geographic information of the person, querying a remote server based on the geographic information, and obtaining additional information from the remote server, the additional information being related to the geographic information, and extracting contours of amplitude change from the at least one audio sample over a period of time, the contours of amplitude change corresponding to changes in an airflow profile of the person. The method further includes correlating the contours of amplitude change with periodic episodes typical of airflow related health problems, and determining, based at least on the additional information, whether the contours of amplitude change result from at least one local environmental factor related to the geographic information.

Abstract: Described herein is a method for alerting of personal risk in the workplace through a wearable indication signifying a risk condition that includes generating a set of workplace predictors of risk relating to accidents, injury, and industrial hygiene, based on at least one worker state that includes at least one of a physical state, a cognitive state, and an emotional state, and alerting a worker endangered by a predicted elevated risk to the existence of the predicted elevated risk by sending a perceivable alert to the worker. A system for alerting of personal workplace risk is also described.

Abstract: In one embodiment, a computer-implemented method includes obtaining a set of data indicating a local condition in a geographic location of a crop to be harvested. A moisture content of the crop to be harvested is estimated, based on the set of data. The moisture content is balanced against at least one economic constraint in order to maximize a monetary value of the crop to be harvested, using an optimization problem. A plan for harvesting the crop to be harvested is generated by solving the optimization problem. The plan includes a recommended window of time within which to harvest the crop to be harvested.

Abstract: Automatic driver modeling is used to integrate human-controlled vehicles into an autonomous vehicle network. A driver of a human-controlled vehicle is identified based on behavior patterns of the driver measured by one or more sensors of an autonomous vehicle. A model of the driver is generated based on the behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle. Previously stored behavior patterns of the driver are then retrieved from a database to augment the model of the driver. The model of the driver is then transmitted from the autonomous vehicle to nearby vehicles with autonomous interfaces.

Abstract: Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analysed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin colour, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

Abstract: Automatic driver modeling is used to integrate human-controlled vehicles into an autonomous vehicle network. A driver of a human-controlled vehicle is identified based on behavior patterns of the driver measured by one or more sensors of an autonomous vehicle. A model of the driver is generated based on the behavior patterns of the driver measured by the one or more sensors of the autonomous vehicle. Previously stored behavior patterns of the driver are then retrieved from a database to augment the model of the driver. The model of the driver is then transmitted from the autonomous vehicle to nearby vehicles with autonomous interfaces.

Abstract: Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analyzed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin color, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

Abstract: An augmented reality display system used to diminish (for example, obscure, obfuscate, hide, make less distracting, block out, “white wash” and/or make less discernible) certain portions of a base image (for example, a user's view of a part of the real world as seen through eyeglasses). Some examples of visual subject matter that can be diminished include: (i) driver distraction phenomena; (ii) advertising; and/or (iii) subject matter the user is not authorized to view.

Abstract: A drone-based microbial analysis system includes an electronic drone control facility including an electronic storage memory device. The storage memory device stores information including a location of at least one possible contaminated area previously determined to contain at least one positively-tested microbe. At least one drone vehicle is in signal communication with the drone control facility and autonomously navigates to the at least one possible contaminated area to collect a specimen. The drone control facility performs a microbial analysis based on the collected specimen and confirms the at least one possible contaminated area is a positively contaminated area that contains at least one microbe based on the microbial analysis.