Abstract: A method, computer program product, and system includes a processor(s) configuring a sensor(s) (first sensor(s)), to capture data related to an emotional state of an individual and a sensor(s) (second sensor(s)), to capture data related to an environment of the individual. The processor(s) obtains, over a pre-defined period of time, data from the sensors and utilizes data from the second sensor(s) to identify activities in which the individual participated. The processor(s) obtains, from a scheduling resource, a schedule of activities scheduled for the individual. The processor(s) generates a record for each activity. The processor(s) determines, based on data from the first sensor(s) and the record for each activity, emotional states of the individual throughout each activity of the identified activities. The processor(s) generates a rule representing relationships between events during each activity and emotional state of the participant and recommends a schedule of future activities.

Abstract: A method and system is provided to populate a customized pull down menu with table driven sort options in a graphical user interface for displaying a data report. A computer builds a table of sortable fields for a dashboard report, and displays in the dashboard report filters in the table that apply to the sortable fields. The computer receives from the user a selection of at least one sortable field from the sortable fields from a pull down menu, and at least one flag is set for inclusion in the dashboard report, wherein the at least one set flag define a sort order for an element of the data report. A generated SQL statement is modified to sort the element according to the at least one set flag. The element is sorted according to the modified SQL statement.

Abstract: A driver action system for monitoring traffic and capturing specific information about the car and the driver from a GPS device and other IoT sensors. Driver history and tendencies can provide insight into a driver's intention while on the road. The system will analyze the collected information and broadcast an alert to other drivers in the same area. A broadcast to the other devices or users in the area would include the probability or percentage of the driver taking a particular action or a lack of familiarity with the area.

Abstract: A method and system is provided to populate a customized pull down menu with table driven sort options in a graphical user interface for displaying a data report. A computer builds a table of sortable fields for a dashboard report, and displays in the dashboard report filters in the table that apply to the sortable fields. The computer receives from the user a selection of at least one sortable field from the sortable fields from a pull down menu, and at least one flag is set for inclusion in the dashboard report, wherein the at least one set flag define a sort order for an element of the data report. A generated SQL statement is modified to sort the element according to the at least one set flag. The element is sorted according to the modified SQL statement.

Abstract: A driver action system for monitoring traffic and capturing specific information about the car and the driver from a GPS device and other IoT sensors. Driver history and tendencies can provide insight into a driver's intention while on the road. The system will analyze the collected information and broadcast an alert to other drivers in the same area. A broadcast to the other devices or users in the area would include the probability or percentage of the driver taking a particular action or a lack of familiarity with the area.

Abstract: A driver action system for monitoring traffic and capturing specific information about the car and the driver from a GPS device and other IoT sensors. Driver history and tendencies can provide insight into a driver's intention while on the road. The system will analyze the collected information and broadcast an alert to other drivers in the same area. A broadcast to the other devices or users in the area would include the probability or percentage of the driver taking a particular action or a lack of familiarity with the area.

Abstract: A method and system for managing resources in a retail environment, including: (i) providing a retail environment system comprising a processor and a plurality of sensors, and further comprising at least one human resource and/or at least one automated resource, wherein the retail environment is associated with at least one retail objective; (ii) receiving sensor data representing information about at least one consumer in the retail environment; (iii) identifying, using the received sensor data, a resource event comprising an event for which the at least one human resource or the at least one automated resource may be utilized; (iv) assigning, by the processor, a priority to the identified resource event based at least in part on the at least one retail objective; and (v) managing at least one of the at least one human resources or the at least one automated resources based on the assigned priority.

Abstract: A method, computer program product, and system includes a processor(s) configuring a sensor(s) (first sensor(s)), to capture data related to an emotional state of an individual and a sensor(s) (second sensor(s)), to capture data related to an environment of the individual. The processor(s) obtains, over a pre-defined period of time, data from the sensors and utilizes data from the second sensor(s) to identify activities in which the individual participated. The processor(s) obtains, from a scheduling resource, a schedule of activities scheduled for the individual. The processor(s) generates a record for each activity. The processor(s) determines, based on data from the first sensor(s) and the record for each activity, emotional states of the individual throughout each activity of the identified activities. The processor(s) generates a rule representing relationships between events during each activity and emotional state of the participant and recommends a schedule of future activities.

Abstract: A driver action system for monitoring traffic and capturing specific information about the car and the driver from a GPS device and other IoT sensors. Driver history and tendencies can provide insight into a driver's intention while on the road. The system will analyze the collected information and broadcast an alert to other drivers in the same area. A broadcast to the other devices or users in the area would include the probability or percentage of the driver taking a particular action or a lack of familiarity with the area.