[Object] It is an object to provide a determination device capable of determining the health risk of a laborer due to the labor load from the measured biological information only by measuring the biological information including the heart rate of the laborer.

[Solution to the problems] In order to solve the above problems, the determination device 1 according to the present invention includes a biological information acquisition unit 3 that acquires biological information including a heart rate of a laborer Wi, a model formula storage unit 4 that stores a model formula for discriminating a health risk due to a labor load based on the biological information, and a determination unit 5 that determines the health risk of the laborer Wi based on the biological information of the laborer Wi and the model formula stored in the model formula storage unit 4.

A system and method for maintaining worksite safety is provided. The system includes a plurality of sensors communicatively coupled to a server configured to collect environmental data within a worksite in order to monitor components of the worksite. The system further includes a machine learning server configured to utilize the environmental data in one or more machine learning algorithms in order to generate predictions associated with the components. Monitoring, efficiency scoring, and operational adjustments are performed by the server based on the predictions of the machine learning server.

A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

A method of assessing operational risk based upon ocular information of a subject includes providing a video camera recording a close-up view of a subject's eye. The ocular information is processed to identify changes in ocular signals of the subject through the use of convolutional neural networks. Changes in ocular signals are evaluated from the convolutional neural networks by a machine learning algorithm. A duty fitness result is determined for the subject where the duty fitness result is either fit for duty, unfit for duty or more information needed. The results can then be displayed to the subject and/or to a supervisor.

A method of discovering relationships between iris physiology and cognitive states and/or emotional states of a subject includes providing a computing device and a video camera to record a close-up view of the subject's eye. A first light is held to the lower eyelid skin and a second light a distance away illuminating the stroma of the eye. The first and second light are electronically synced together and configured to flash alternatively. The user engages in a plurality of tasks while recording ocular information which is processed to identify correlations between the responses in the iris musculature and the distortions in the stroma through the use optimized algorithms. One can then identifying at least one predictive distortion is identified in the stroma capturable solely with a visible-spectrum camera correlating to a predicted responses in the iris musculature.

A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.

A vision protection method is provided to ensure a viewer to rest his/her eyes after viewing on an electronic device for a certain period, wherein the eyesight protection method includes the steps of detecting at least one of eye activities of the viewer and working parameter of the electronic device in a working mode of the electronic device during the viewer is working on a current work displaying by the electronic device; switching the working mode of the electronic device to a resting mode when an abnormal eye activity of the viewer is detected; and switching the electronic device from the resting mode back to the working mode to resume the display of the current work of the electronic device. Therefore, the viewer is enforced to rest his/her eyes after every certain period.

An information processing method is executed by a computer having a control unit, wherein the control unit executes: acquiring a plurality of biological signals; detecting for each predetermined time unit a peak part of the respective biological signals; attaching identical identification information to one or a plurality of peak parts forming an identical peak when attaching peak identification information to each of the biological signals; and extracting a combination of corresponding peaks from at least two biological signals on the basis of the identification information of each time unit of the at least two biological signals.

Described herein is a sensorized glove, in particular designed for ergonomic analysis, including an inner glove, which comprises a plurality of extensometer sensors configured for detecting relative movements between parts of a worker's hand; and an outer glove, which comprises a plurality of pressure sensors distributed over a palmar surface and configured for detecting the pressure exerted in corresponding areas of said palmar surface. Moreover described is a corresponding method for determining the type of grasp exerted by a worker.

The invention relates to a workplace analysis system (1) in a work area (10) for the acquisition and analysis of the presence of a person (P) to be monitored in several differently defined zones (A, B, C) of the work area (10) and of at least the temporal duration of stay (t.sub.A, t.sub.B, t.sub.C) of the person (P) to be monitored within the zones (A, B, C), wherein in the workplace analysis system (1) at least one acquisition device (20) is provided, which is designed to detect and to acquire the presence and the duration of stay (t.sub.A, t.sub.B, t.sub.C) of the person (P) to be monitored in the respective zones (A, B, C), and an analysis device (30) is provided, which is designed to analyze and evaluate the presence and the duration of stay (t.sub.A, t.sub.B, t.sub.C) of the person (P) to be monitored in the respective zones (A, B, C).