A timeclock control system includes a client electronic device configured to administer an alertness test to a user. A timeclock controller is coupled to and configured to be actuated by the client electronic device.

Disclosed is a portable poisonous gas monitoring apparatus including a gas sensing unit having a structure capable of being detachably attached to a work site or a worker, the gas sensing unit being configured to generate gas sensing information as the result of sensing poisonous gas, a worker sensing unit having a wearable structure capable of being worn on a portion of the body of the worker, the worker sensing unit being configured to generate life support information of the worker, a relay unit configured to receive and relay the gas sensing information and the life support information through RF communication, and a portable monitoring unit configured to receive the gas sensing information and the life support information from the relay unit through RF communication and to monitor the state of poisonous gas and the condition of the worker.

A monitoring or tracking system may include an input port and a controller in communication with the input port. The input port may receive data from a data recorder. The data recorder is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive data via the input port, the data being related to a subject lifting an object. Using the data, the controller may locate body parts of the subject while the subject is lifting the object and monitor body movements of the subject during the lift. Further, the controller may be configured to determine a value related to a load of the object based on the body movements monitored. The controller may output via the output port the value determined and/or lift assessment information for the subject.

A video documentation system includes a camera configured to capture video of an event and a processor receiving and responsive to event data generated by the camera. The system includes computer-readable media storing an artificial intelligence (AI) system configured to generate a record of critical activities occurring during the event. The computer-readable media also store processor-executable instructions for receiving, by the AI system, the event data representative of the event from the at least one camera, processing the received event data with the AI system to identify the one or more critical activities, and providing the record of the one or more critical activities occurring during the event as an output of the AI system.

To be capable of efficiently transmitting appropriate information on the motion improvement to a person in motion. A motion evaluation system includes a sensor unit, an information processing device, and an information presentation device. The information processing device includes a communication device, a storage device, and an arithmetic device. The arithmetic device acquires motion data acquired by observing a user through the use of a sensor via the communication device, checks the motion data against information about the correctness of motions in the reference information, determines a state of motion of the user, specifies a motion in a state to be improved as an improvement, check the motion data after the motion corresponding to the improvement against information about busy levels of the user to specify a busy level of the user, and outputs, as improvement suggestion information about the improvement, information with different contents at each of multiple times to an information presentation device based on the improvement and a rule predetermined according to each situation of the busy level.

A doctor health monitoring system based on a medical apparatus includes the medical apparatus (1), a detection system (2), a control system (3) and an artificial intelligence system (14). The detection system (2) is configured to detect health indicators of doctors and send the detected health indicators to the control system (3). The control system (3) and the artificial intelligence system (14) are integrated within the medical apparatus (1). The control system (3) is configured to send the detected health indicators from the detection system to a display device (11) for display. The artificial intelligence system (14) is configured to analyze the detected health indicators in the cloud server (12) for obtaining a diagnostic accuracy of the detected health indicators and a physical health status of the doctors. The detection system (2) capable of detecting the health indicators of the doctors is connected with the medical apparatus (1).

In some aspects, a system comprises a first wearable sensor configured to be attached to a first user, the first wearable sensor adapted to periodically transmit a message, the message containing a sensor identifier that uniquely identifies the first wearable sensor, wherein the first wearable sensor is configured to listen for one or more messages transmitted by one or more wearable sensors attached to other users, and wherein the first wearable sensor is adapted to determine a signal strength of a received message, and determine is the signal strength is greater than a threshold, issue an alert, and a gateway adapted to communicate with the first wearable sensor.

Vital sign measurement data and motion measurement data obtained from workers during operation are used as primary indicators. The primary indicators and learning data generated separately are used to estimate the emotion and the cognition of the worker. The estimated emotion and cognition are used as secondary indicators. The secondary indicators and relational expressions generated separately are used to estimate the productivity of the worker. The variation of the productivity estimate is compared with a threshold that defines the condition for providing an intervention. When the variation of the productivity estimate is determined to exceed the threshold, the intervention is provided for the worker.

A worksite safety system and method is disclosed. The system uses wearable sensors to collect biometric data from workers. The data are used to compute a worker's core body temperature on the basis of an individual profile associating historical biometric data with measured core body temperature. If the computed core body temperature crosses certain thresholds, alert actions are performed.

A method, computer program product, and computing system for monitoring one or more environmental variables concerning a client electronic device configured to administer an alertness test to a user. A disrupter is selected for inclusion within the alertness test based, at least in part, upon the one or more environmental variables concerning the client electronic device. The alertness test is administered to the user.