Methods and system for monitoring and assessing employee moods are disclosed. A proposed enterprise employee monitoring system includes surveillance cameras, a facial recognition module, an emotional analyzer module, and an employee database. The surveillance cameras capture image data including employee individuals within the enterprise. The facial recognition module identifies the individuals in the image data, and the emotional analyzer module determines an emotional state of the individuals based upon the image data. The employee database stores employee information and the emotional state information from the emotional analyzer module, based upon the identification performed by the facial recognition module.

Methods and system for employee monitoring and business rule and quorum compliance monitoring are disclosed. A proposed system includes one or more tracking systems for tracking movement of individuals in an enterprise, databases of business rules and operations schedules, and a business rules validation system for determining whether compliance with the business rules based on the operations schedule and the movement of the individuals in the enterprise has been achieved.

Methods and system for distributed cameras and demographics analysis are disclosed. In one embodiment, the enterprise security system includes a tracking system for tracking individuals within the enterprise, surveillance cameras that capture image data including the individuals within the enterprise, a physical classifier module for determining physical characteristics of the individuals in the image data, and a security integration system for determining whether the tracked individuals match the physical characteristics.

A visual approach-based aptitude testing system includes a computer connected to an examinee's terminal through a communication network. The computer provides, to the examinee's terminal, a check sheet in which a plurality of areas are formed by boundary elements depicted in a rectangular frame and which includes graphic figures each having no inherent meaning, and a plurality of icons applicable to the check sheet. The computer sequentially stores test data including icons applied by the examinee to the check sheet and an examinee's ID transmitted from the terminal, and sequentially reads out the test data and the examinee's ID to count a total number of the icons. The computer executes discrimination of whether the arrangement of the icons in the read-out test data falls under definitions in tables stored by the computer. Results of the discrimination are stored in the computer and used for evaluation of the examinee's aptitude.

A method for predicting an arousal level used by a computer of an arousal level prediction apparatus that predicts an arousal level of a user is provided. The method includes obtaining current biological information regarding the user detected by a sensor, and calculating a current arousal level of the user based on the current biological information. The method further includes obtaining current environment information indicating a current environment around the user, and predicting a future arousal level, which is an arousal level a certain period of time later, based on the current arousal level and the current environment information. Based on the predicted future arousal level, the method further issues a notification to the user, or controls an operation of a device.

The present subject matter relates to a computer implemented method for real time determination of stress levels of an individual. The method includes receiving at least one stream of physiological data from at least one primary sensor for a predetermined duration, and preprocessing the at least one stream of physiological data to extract physiological parameters, where the preprocessing includes performing a preliminary analysis on the at least one stream of physiological data. The method further includes determining a stress level of the individual based on at least the physiological parameters, wherein the determining comprises performing a statistical analysis on the physiological parameters.

A computer-implemented method includes: receiving, by a computing device, information identifying a user's activity; determining, by the computing device, the user's tasks based on the information identifying the user's activity; determining, by the computing device, the user's context switches based on the user's tasks; receiving, by the computing device, biometrics data associated with the user via an application programming interface (API); determining, by the computing device, the user's stress levels at various times based on the biometrics data; storing, by the computing device, information linking the user's stress level with the user's context switches; and outputting, by the computing device, the information linking the user's stress level with the user's context switches.

The invention comprises a system that monitors heart activity through embedded ECG sensors in a desk, and desk-related amenities such as a chair, a computer keyboard, a mouse, and a floor mat. The invention also comprises pressure sensors for monitoring a user's presence at the desk. Signals measured from the ECG or pressure sensors are transmitted (in a wired, or wireless fashion) to a computer processing device which applies algorithms to refine the collected signals, and passively estimate the user's ECG.

An exercise promotion system includes a work environment providing device configured to provide a work environment for improving efficiency of work of a user, an exercise state detection unit configured to detect an exercise state of the user's lower limb, and a work environment change unit configured to change the work environment provided by the work environment providing device. The work environment change unit changes the work environment so that the work environment deteriorates when the exercise state detected by the working state detection unit does not meet a predetermined reference.

In an embodiment, the present disclosure pertains to a method of determining an angular motion in a subject. The method generally includes one or more of the following steps of: (1) applying a wearable system to a body region of the subject; (2) utilizing the wearable system to sense one or more parameters; and (3) correlating the one or more parameters to the angular motion in the subject. In an additional embodiment, the present disclosure pertains to a wearable system for determining angular motion in a subject. Generally, the wearable sensor includes one or more fabrics for sensing one or more parameters of a body region of a subject.