Systems and methods for detecting mental fatigue by a user of an IHS (information handling system)

A method for detecting mental fatigue by a user of an Information Handling System (IHS), the method comprising:

• upon a user of the IHS initiating a first session of operating the IHS, monitoring activity in operation of the IHS by the user and monitoring physiological parameters of the user, wherein the physiological parameters of the user are monitored through collection of data by one or more sensors of the IHS and also through the collection of data by a wireless network controller of the IHS interfacing with remote sensors comprising at least one of:
• sensors worn by the user of the IHS and contactless sensors in proximity to the user of the IHS;
• generating estimates of the user's mental fatigue during the first session based on the monitored activity by the user and the monitored physiological parameters of the user, and further based on the data collected by the one or more sensors of the IHS and the data collected by wireless network controller from the one or more remote sensors;
• based on the monitored activity by the user and the monitored physiological parameters of the user, identifying when the user stops operating the IHS and ends the first session;
• based on the monitored activity by the user and the monitored physiological parameters of the user, identifying when the user resumes use of the IHS and begins a second session;
• upon the user beginning the second session, prompting the user for their level of mental fatigue at the end of the first session;
• and
• updating a machine learning model used to generate the estimates of the user's mental fatigue during the first session based on the mental fatigue level reported by the user at the end of the first session.

A computer-readable storage device having instructions stored thereon for detecting mental fatigue by a user of an Information Handling System (IHS), wherein execution of the instructions by one or more processors of the IHS causes the one or more processors to:

• upon a user of the IHS initiating a first session of operating the IHS, monitor activity in operation of the IHS by the user and monitor physiological parameters of the user, wherein the physiological parameters of the user are monitored through collection of data by one or more sensors of the IHS and also through the collection of data by a wireless network controller of the IHS interfacing with remote sensors comprising at least one of:
• sensors worn by the user of the IHS and contactless sensors in proximity to the user of the IHS;
• generate estimates of the user's mental fatigue during the first session based on the monitored activity by the user and the monitored physiological parameters of the user, and further based on the data collected by the one or more sensors of the IHS and the data collected by wireless network controller from the one or more remote sensors;
• based on the monitored activity by the user and the monitored physiological parameters of the user, identify when the user stops operating the IHS and ends the first session;
• based on the monitored activity by the user and the monitored physiological parameters of the user, identify when the user resumes use of the IHS and begins a second session;
• upon the user beginning the second session, prompt the user for their level of mental fatigue at the end of the first session;
• and
• update a machine learning model used to generate the estimates of the user's mental fatigue during the first session based on the mental fatigue level reported by the user at the end of the first session.