Patent classifications
A61B2503/20
SYSTEMS AND METHODS TO DETERMINE A RISK FACTOR RELATED TO DEHYDRATION AND THERMAL STRESS OF A SUBJECT
Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject are disclosed. Exemplary implementations may: generate output signals, by one or more sensors worn on a body of a subject, conveying information related to one or more of location of the subject, motion of the subject, temperature of the subject, cardiovascular parameters of the subject; store information related to the subject; obtain the output signals; determine in an ongoing manner, from the output signals, values of a water loss metric that correlates with estimated percentage of bodyweight of the subject lost in water; obtain heat index information for a contextual environment surrounding the subject; determine in an ongoing manner, from the output signals, values of an exertion metric that correlates with exertion of the subject due to work; and determine in an ongoing manner values for an aggregated risk factor of the subject.
SYSTEM AND METHOD OF MONITORING ATTRIBUTES ASSOCIATED WITH USERS OF INFORMATION HANDLING SYSTEMS
In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine that a user is in a presence of an information handling system (IHS); determine a digital image of a face of the user; determine an angle of the face of the user with respect to a vertical axis of a camera based at least on the digital image; determine that the face is facing a display associated with the IHS; determine an amount of time, which the user spends looking at the display; determine, via multiple sensors associated with the IHS, a heart rate and a respiratory rate associated with the user; determine that the user should move based at least on the first amount of time, the heart rate, the respiratory rate, and the angle; and display information indicating that the user should move.
Work shoe
A work shoe, in particular a safety shoe, includes at least one passive protection unit which is intended to passively protect a shoe wearer at least against mechanical and/or electrical loads, and includes at least one active protection unit which has at least one sensor unit which is intended to detect at least one characteristic variable at least in order to enable a protection function and/or a comfort function. The sensor unit is configured at least for detecting at least one person-related characteristic variable and/or at least one environmental characteristic variable.
PSYCHOLOGICAL STRESS CALCULATION DEVICE, PSYCHOLOGICAL STRESS CALCULATION METHOD, AND PROGRAM
A psychological oppression feeling that is given to a person by a robot is accurately calculated.
There is provided a psychological oppression feeling calculating device including: a first acquisition unit (S02) that acquires a relative positional relationship between a person and a plurality of robots including the number of the plurality of robots with respect to the person, a moving speed of the robot, and a distance between the person and the robot; a second acquisition unit (S01) that acquires a density of the robots with respect to the person; and a calculation unit (S03 and S04) that calculates a psychological oppression feeling given to the person by the robots from results acquired by the first acquisition unit and the second acquisition unit.
OCULAR SYSTEM TO OPTIMIZE LEARNING
A method to measure a cognitive load based upon ocular information of a subject includes the steps of: providing a video camera configured to record a close-up view of at least one eye of the subject; providing a computing device electronically connected to the video camera and the electronic display; recording, via the video camera, the ocular information of the at least one eye of the subject; processing, via the computing device, the ocular information to identify changes in ocular signals of the subject through the use of convolutional neural networks; evaluating, via the computing device, the changes in ocular signals from the convolutional neural networks by a machine learning algorithm; determining, via the machine learning algorithm, the cognitive load for the subject; and displaying, to the subject and/or to a supervisor, the cognitive load for the subject.
Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject
Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject are disclosed. Exemplary implementations may: generate output signals, by one or more sensors worn on a body of a subject, conveying information related to one or more of location of the subject, motion of the subject, temperature of the subject, cardiovascular parameters of the subject; store information related to the subject; obtain the output signals; determine in an ongoing manner, from the output signals, values of a water loss metric that correlates with estimated percentage of bodyweight of the subject lost in water; obtain heat index information for a contextual environment surrounding the subject; determine in an ongoing manner, from the output signals, values of an exertion metric that correlates with exertion of the subject due to work; and determine in an ongoing manner values for an aggregated risk factor of the subject.
RATI-FI EMPLOYEE MONITORING SYSTEM
The present invention comprises a health screening and recording tool for use in tracking certain health metrics in a population for the purpose of evaluating the health of individuals in the population, as well as the metrics of the population, and for use in decision making regarding activities.
Method and system for monitoring core body movements
A system for monitoring core body movement comprises a sensor device for collecting a data set representing a plurality of core body movements over time from a monitoring device; a processor for determining a plurality of risk scores from the data set; and an output device for indicating the risk scores.
Electronic device and method for providing stress index corresponding to activity of user
An electronic device is provided that includes a display, a biometric sensor, a motion sensor, a communication circuit configured to receive a signal for obtaining information related to a location of the electronic device, and a processor electrically connected with the display, the biometric sensor, the motion sensor, and the communication circuit, wherein the processor is configured to identify repeated activities related to the user, which follow a lapse of time, based on motion information obtained according to the lapse of time by using the motion sensor and location information obtained according to the lapse of time by using the communication module, calculate a stress index of the user corresponding to the repeated activities based on biometric information obtained by using the biometric sensor, and provide at least one activity of the repeated activities and a stress index corresponding to the at least one activity.
BIOLOGICAL INFORMATION MANAGEMENT APPARATUS, BIOLOGICAL INFORMATION MANAGEMENT METHOD, PROGRAM, AND RECORDING MEDIUM
An apparatus for biological information management including a storage and at least one processor. The processor is configured to: acquire a face image of a subject and a sensed biological information value of the subject, which are acquired at the same time, in association with each other, and perform face image authentication for the face image to identify the subject of the face image. The storage stores the biological information value associated with the face image in association with the subject. The processor is also configured to: determine a normal range of biological information values by cluster analysis from accumulated biological information values stored in the storage for each subject, determine whether or not a latest biological information value stored in the storage falls within the normal range, and output that the latest biological information value is abnormal when the latest biological information value falls outside the normal range.