A posture measuring device, an intelligent cushion and an intelligent seat are disclosed. The sitting posture measuring device comprises two fiber optic sensors; a signal processing unit electrically connected to the two fiber optic sensors respectively; and a power supply unit electrically connected to the signal processing unit. The sitting posture measuring device further comprises a prompting unit and/or a wireless communications unit electrically connected to the signal processing unit. The two fiber optic sensors are configured from left to right or from front to back. The fiber optic sensors detect changes in optical signals generated from changes in surface pressure on the sensors, and the signal processing unit analyzes a posture of a user on the basis of changes in optical signals generated from changes in surface pressure on the sensors.

Systems and methods identify and trigger actions to improve performance in a role in an organization. A server computer receives input data associated with a performance of a target entity in a role in an organization from a remote device. The server computer also receives, via input to a Graphical User Interface (GUI), a set of weights for a respective set of skills for the role. The server computer computes a metric based on the input data and the weights, the metric representing the performance in the role for the target entity. The server computer identifies an action likely to improve the metric and triggers the action.

An industrial machine startup control system for controlling startup of an industrial machine, the industrial machine startup control system including: a vital data measurement device that measures vital data of a worker; a health state analysis device that acquires the vital data of the worker measured by the vital data measurement device, and that determines a health state of the worker based on the acquired vital data; and a startup control device that controls whether or not to allow startup of the industrial machine based on the determination result from the health state analysis device.

A system for display for an augmented/virtual reality-based decision-making simulation includes a controller configured to receive input from a user, at least one of an augmented reality or a virtual reality device configured to display a simulated environment, a processor, and a memory coupled to the processor. The memory stores one or more computer-readable instructions, which, when executed by the processor, cause the system to: receive input by the user from the controller, indicating a selected scenario; display, on the at least one of the augmented reality or the virtual reality device, the selected scenario; receive input from the user, from the controller, to interact with the selected scenario; monitor one or more parameters associated with the execution of tasks in the selected scenario using the controller; and evaluate the user based on the monitored one or more parameters.

A device for determining the physiological condition of a person in a simple manner, which device measures the pulse rate and based on that additionally determines the heart rate variability. In addition, at least one parameter should be used for the history of one of the two above-mentioned values. The deviation of the pulse rate and the heart rate variability from a normal variable is preferably integrated and used as an additional indicator. The device preferably includes a wearable electrocardiography device.

A system or a method for providing pacing guidance to an individual for a particular activity based on a physiological strain index (PSI) or an adaptive physiological strain index (aPSI). The system in at least one embodiment includes a heart rate monitor, a memory storing multiple pacing templates, a clock, an activity completion module, an output device, and a processor configured to perform multiple steps resulting in outputting pacing information to the individual. The pacing information selected in at least one embodiment is based on the individual's heart rate that provides in part a PSI or aPSI, the elapsed time for the activity, and the amount of progress through the activity.

Wearable ergonomics improvement systems and related methods are disclosed. An example ergonomics improvement system includes a membrane including a first frame having a plurality of first cutouts defining a first pattern. The system includes a sensor coupled to the membrane and includes a second frame having a plurality of second cutouts defining a second pattern. The first pattern is complementary to the second pattern.

Methods, systems and computer program products provide for a Risk Assessment Engine that receives body ambient temperature data captured by a sensor in contact with a person. The Risk Assessment Engine characterizes types of activities performed by the person during a time range associated with the body ambient temperature data. The Risk Assessment Engine determines a risk classification individualized for the person based on respective workloads and the corresponding allocations of work and rest experienced by the person during performance of the characterized types of activities.

An information collecting apparatus according to an embodiment includes a sensor data acquisition unit configured to acquire sensor data related to work performed by a worker, a work information data generation unit configured to generate work information data related to work performed by the worker for a specific period of time based on the sensor data acquired by the sensor data acquisition unit, and a danger information specification unit configured to specify work information data related to an action that indicates danger as dangerous work information data indicating dangerous work performed by the worker when an action of the worker in a predetermined period of time, which is indicated by the work information data generated, is the action that indicates danger.

A method for modeling soft tissue includes receiving one or more images showing an anatomical geometry of a first subject. The anatomical geometry includes a soft tissue. The method also includes measuring a plurality of parameters of the anatomical geometry of the first subject using one or more sensors attached to the first subject. The method also includes receiving a first set of material properties for the soft tissue of the first subject, a second subject, or both. The method also includes identifying a second set of material properties that characterizes the soft tissue while the first subject performs a task. The method also includes determining a strain on the soft tissue, a stress on the soft tissue, or both based at least partially upon the one or more images, the parameters, the first set of material properties, and the second set of material properties.