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Adjusting settings of an exercise machine is provided. Data is received from a set of monitoring devices at a workstation. Software applications currently executing on the workstation are monitored. A signal is sent to a control module of the exercise machine adjusting one or more settings of the ex

Adjusting settings of an exercise machine is provided. Data is received from a set of monitoring devices at a workstation. Software applications currently executing on the workstation are monitored. A signal is sent to a control module of the exercise machine adjusting one or more settings of the exercise machine based on changes in the software applications currently executing on the workstation.

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1. A method for adjusting settings of an exercise machine, the method comprising: receiving, by a data processing system, data from a set of sensors of the data processing system, wherein the data processing system is coupled to the exercise machine at a workstation corresponding to a user who is ut

1. A method for adjusting settings of an exercise machine, the method comprising: receiving, by a data processing system, data from a set of sensors of the data processing system, wherein the data processing system is coupled to the exercise machine at a workstation corresponding to a user who is utilizing the exercise machine while performing activities on the data processing system;monitoring, by the data processing system, the activities performed by the user in software applications currently executing on the data processing system at the workstation using the data from the set of sensors, wherein the set of sensors includes one or more imaging devices and one or more sound detection devices that monitor facial expressions, pupil dilation, skin flushing, speech patterns, tone of speech, language used in speech, utterances, and sounds of the user while the user is exercising on the exercise machine and performing the activities in the software applications currently executing on the data processing system, and wherein the set of sensors also includes sensors for determining how the user is interacting with the data processing system by monitoring a number of keystrokes per minute and a number of backspacing per minute by the user while performing the activities in the software applications currently executing on the data processing system;sending, by the data processing system, a signal to a control module of the exercise machine adjusting one or more settings of the exercise machine based on changes in the activities the user is performing in the software applications currently executing on the data processing system at the workstation; andadjusting, by the data processing system, the one or more settings of the exercise machine based on a current cognitive state of the user determined by a portable brain-wave monitor coupled to the data processing system that monitors the user for measurable cognitive psychophysiological changes indicating the current cognitive state of the user. 2. The method of claim 1 further comprising: retrieving, by the data processing system, work-related information that includes current job duties corresponding to the user from a storage device. 3. The method of claim 2 further comprising: adjusting, by the data processing system, the one or more settings of the exercise machine based on the work-related information corresponding to the user. 4. The method of claim 1, wherein the adjusting of the one or more settings of the exercise machine includes at least one of changing a time duration setting, a speed setting, an inclination setting, an interval setting, a resistance setting, and a direction of movement setting. 5. The method of claim 1 further comprising: adjusting, by the data processing system, the one or more settings of the exercise machine to increase exercise intensity based on exercise preferences of the user, wherein exercise preferences of the user are at least one of increase exercise intensity when the user is reading work-related emails, increase exercise intensity when the user is on mute during a telephone call, increase exercise intensity when the user gets angry, increase exercise intensity when the user is talking with an excited co-worker, increase exercise intensity when the user is on a teleconference with greater than five other co-workers, and increase exercise intensity during slower work periods when the user has not yet reached daily goals for physical activity. 6. The method of claim 1 further comprising: adjusting, by the data processing system, the one or more settings of the exercise machine to decrease exercise intensity based on exercise preferences of the user, wherein the exercise preferences of the user are at least one of decrease exercise intensity when the user is performing an activity requiring increased concentration, decrease exercise intensity when the user takes a telephone off mute and is actively speaking, decrease exercise intensity when one of a name of the user or a name of a project the user is working on is mentioned during a telephone call, decrease exercise intensity when the user utilizes certain keywords while inputting text, decrease exercise intensity when the user is talking with one of a manager or a customer, decrease exercise intensity when the user is on a teleconference with three people or less, decrease exercise intensity when the user is listed as a host of the teleconference, decrease exercise intensity when the user has reached daily goals for physical activity. 7. The method of claim 1, wherein the exercise machine is one of a treadmill machine, a stair climber machine, an elliptical machine, a bicycle machine, a skiing machine, a rowing machine, a weight machine, or a resistance training machine. 8. The method of claim 1, wherein the data processing system is one of a network computer, a desktop computer, a laptop computer, a tablet computer, a wearable data processing system, a smart phone, a personal digital assistant, a gaming device, or a landline telephone. 9. The method of claim 1 further comprising: monitoring, by the data processing system, how the user is interacting with the data processing system while the user is performing the activities in the software applications currently executing on the data processing system and exercising on the exercise machine at the workstation; andadjusting, by the data processing system, the one or more settings of the exercise machine based on how the user is interacting with the data processing system while the user is performing the activities in the software applications currently executing on the data processing system. 10. A data processing system for adjusting settings of an exercise machine, the data processing system comprising: a bus system;a storage device connected to the bus system, wherein the storage device stores program instructions; anda processor connected to the bus system, wherein the processor executes the program instructions to: receive data from a set of sensors of the data processing system, wherein the data processing system is coupled to the exercise machine at a workstation corresponding to a user who is utilizing the exercise machine while performing activities on the data processing system;monitor the activities performed by the user in software applications currently executing on the data processing system at the workstation using the data from the set of sensors, wherein the set of sensors includes one or more imaging devices and one or more sound detection devices that monitor facial expressions, pupil dilation, skin flushing, speech patterns, tone of speech, language used in speech, utterances, and sounds of the user while the user is exercising on the exercise machine and performing the activities in the software applications currently executing on the data processing system, and wherein the set of sensors also includes sensors for determining how the user is interacting with the data processing system by monitoring a number of keystrokes per minute and a number of backspacing per minute by the user while performing the activities in the software applications currently executing on the data processing system;send a signal to a control module of the exercise machine adjusting one or more settings of the exercise machine based on changes in the activities the user is performing in the software applications currently executing on the data processing system at the workstation; andadjust the one or more settings of the exercise machine based on a current cognitive state of the user determined by a portable brain-wave monitor coupled to the data processing system that monitors the user for measurable cognitive psychophysiological changes indicating the current cognitive state of the user. 11. The data processing system of claim 10, wherein the processor further executes the program instructions to: retrieve work-related information that includes current job duties corresponding to the user from the storage device. 12. The data processing system of claim 11, wherein the processor further executes the program instructions to: adjust the one or more settings of the exercise machine based on the work-related information corresponding to the user. 13. A computer program product for adjusting settings of an exercise machine, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a data processing system to cause the data processing system to perform a method comprising: receiving, by the data processing system, data from a set of sensors of the data processing system, wherein the data processing system is coupled to the exercise machine at a workstation corresponding to a user who is utilizing the exercise machine while performing activities on the data processing system;monitoring, by the data processing system, the activities performed by the user in software applications currently executing on the data processing system at the workstation using the data from the set of sensors, wherein the set of sensors includes one or more imaging devices and one or more sound detection devices that monitor facial expressions, pupil dilation, skin flushing, speech patterns, tone of speech, language used in speech, utterances, and sounds of the user while the user is exercising on the exercise machine and performing the activities in the software applications currently executing on the data processing system, and wherein the set of sensors also includes sensors for determining how the user is interacting with the data processing system by monitoring a number of keystrokes per minute and a number of backspacing per minute by the user while performing the activities in the software applications currently executing on the data processing system;sending, by the data processing system, a signal to a control module of the exercise machine adjusting one or more settings of the exercise machine based on changes in the activities the user is performing in the software applications currently executing on the data processing system at the workstation; andadjusting, by the data processing system, the one or more settings of the exercise machine based on a current cognitive state of the user determined by a portable brain-wave monitor coupled to the data processing system that monitors the user for measurable cognitive psychophysiological changes indicating the current cognitive state of the user. 14. The computer program product of claim 13 further comprising: retrieving, by the data processing system, work-related information that includes current job duties corresponding to the user from a storage device. 15. The computer program product of claim 14 further comprising: adjusting, by the data processing system, the one or more settings of the exercise machine based on the work-related information corresponding to the user. 16. The computer program product of claim 13, wherein the adjusting of the one or more settings of the exercise machine includes at least one of changing a time duration setting, a speed setting, an inclination setting, an interval setting, a resistance setting, and a direction of movement setting.