The present invention describes a system for monitoring exposure to radiation in a hospital environment comprising a dosimeter wearable by a health care worker a radiation source identification means for identifying a source of radiation emitted by an X-ray apparatus, a position acquisition means for acquiring the position of the dosimeter and a radiation exposure monitoring unit and a means for transmitting information to a remote server.

The invention further describes a corresponding method and computer program.

There is provided a cooking robot, a cooking robot control device, and a control method that enable a cooking robot to customize a dish prepared according to a preference of an eater. The cooking robot (1) according to one aspect of the present technology controls a cooking operation performed by a cooking arm (321), using recipe data including a data set in which cooking operation data and cook biological data are linked, the cooking operation data describing information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient, and the cook biological data indicating a biological reaction of the cook measured in conjunction with a progress of the cooking process. The present technology can be applied to a cooking robot that operates an arm to cook.

There is provided a data processing device and a data processing method capable of customizing a dish made by a cooking robot according to a preference of a person who eats the dish. The data processing device (11) according to one aspect of the present technology generates recipe data including a data set used when a cooking robot (1) performs a cooking operation, the data set linking cooking operation data in which information regarding an ingredient of a dish and information regarding an operation of a cook in a cooking process using the ingredient are described, and cook biological data indicating a biological reaction of the cook measured in conjunction with progress of the cooking process. The present technology can be applied to a computer that controls cooking in a cooking robot.

A system and method for monitoring performance of a repeated activity is described. The system comprises a motion sensing system and a processing system. The motion sensing system includes sensors configured to measure or track motions corresponding to a repeated activity. The processing system is configured to process motion data received from the motion sensing system to recognize and measure cycle durations in the repeated activity. In contrast to the conventional systems and methods, which may work for repeated activities having a high level of standardization, the system advantageously enables recognition and monitoring of cycle durations for a repeated activity, even when significant abnormal motions are present in each cycle. Thus, the system can be utilized in a significantly broader set of applications, compared conventional systems and methods.

A method and system for monitoring impairment indicators. The method comprises, during a first time window, measuring a first movement signal related to movement of a person with a movement sensor associated with the person, and measuring a first environmental signal with an environmental sensor. The method further comprises electronically storing at least one numerical descriptor derived from the first movement signal and the first environmental signal as reference data for the person. The method further includes, during a second time window, measuring a second movement signal related to movement of the person with the movement sensor and measuring a second environmental signal with the environmental sensor; and comparing at least one numerical descriptor derived from the second movement signal and the second environmental signal to the reference data to identify an impairment indicator.

A prevention and safety management system utilizes a non-intrusive imaging sensor (e.g. surveillance cameras, smartphone cameras) and a computer vision system to record videos of workers not wearing sensors. The videos are analyzed using a deep machine learning algorithm to detect kinematic activities (set of predetermined body joint positions and angles) of the workers and recognizing various physical activities (walk/posture, lift, push, pull, reach, force, repetition, duration etc.). The measured kinematic variables are then parsed into metrics relevant to workplace ergonomics, such as number of repetitions, total distance travelled, range of motion, and the proportion of time in different posture categories. The information gathered by this system is fed into an ergonomic assessment system and is used to automatically populate exposure assessment tools and create risk assessments.

An approach for enhancing a workplace environment is provided. Environmental information about the workplace environment is obtained from a plurality of internet of things (IoT) device sensors. Based on the environmental information, a digital twin of the workplace environment is created. The digital twin is evaluated over time using a cognitive system to identify a deficiency in the workplace environment using continuous learned data. Based on the evaluation, an area of an avatar-based version of the digital twin that contains a graphical change in the digital twin containing a suggested improvement that addresses the deficiency in the workplace environment is highlighted.

According to one embodiment, a load estimation apparatus includes processing circuitry. The processing circuitry acquires sensor data from a measurement target, calculates one or more posture loads relating to one or more body parts of the measurement target based on the sensor data, and displays display data including a posture load graph in which the one or more posture loads are illustrated in time series.

A method using a medical apparatus includes attaching a cylindrical sleeve to a respiratory tube insertion tool, the sleeve with a distal end affixed to an outward-facing illumination device and a corresponding forward-facing imaging device, the sleeve including an open proximal end connecting a tubular cavity to an outer space, the open proximal end to slidingly receive therethrough a distal end of the insertion tool; including an inner surface around the tubular cavity configured to slide over and removably affix itself to the distal portion of the insertion tool. The method includes inserting the insertion tool with the attached sleeve into an airway of a human subject, transmitting images of the airway acquired by the imaging device to a remote device for displaying, displaying the images of the airway on the remote display device, and positioning the insertion tool with the attached sleeve inside the airway based on the images.

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.