A system for assessing grip security, the system comprising: a contact surface having at least a first contact surface region and a second contact surface region, the first contact surface region being configured to resist slip less than the second contact surface region, a sensor for detecting slip in the first contact region.

This disclosure provides a device and method for detecting fatigue driving. The device for detecting fatigue driving comprises: a first detection unit, which is disposed on a steering wheel of a vehicle, and configured to detect a grip of a driver on the steering wheel and transmit the detected grip value; and a controller, which is configured to receive the detected grip value, and determine whether the driver is in a suspected fatigue driving state according to the detected grip value and a grip standard sample value.

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.

A system for assessing muscle function of a patient is provided. The system includes: a dual-energy X-ray absorptiometry device operative to scan the patient so as to generate a lean mass measurement; a bioelectrical impedance analysis device operative to scan the patient so as to generate an extracellular water volume measurement; and a controller that includes at least one processor and a memory device, the controller in electrical communication with the dual-energy X-ray absorptiometry device and the bioelectrical impedance device. The controller is adapted to: receive the lean mass measurement and the extracellular water volume measurement; store the lean mass measurement and the extracellular water volume measurement in the memory device; and generate a muscle assessment indicator of the patient based at least in part on the lean mass measurement and the extracellular water volume measurement stored in the memory device.

According to an aspect there is provided an apparatus for determining a measure of the physical fitness of a subject, the apparatus comprising a processing unit that is configured to receive a first measurement signal from a first sensor that measures the force or pressure exerted on an object by the subject over time, the first measurement signal comprising measurements representing the force or pressure exerted on the object during a first movement in which the subject sits down on the object and/or during a second movement in which the subject stands up after sitting on the object; and analyze the first measurement signal to determine the measure of the physical fitness of the subject.

Systems and methods to improve performance, reliability, learning and safety and thereby enhance autonomy of vehicles. Human sensors are used to capture human eye movement, hearing, hand grip and contact area, and foot positions. Event signatures corresponding to human actions, reactions and responses are extracted form these sensor values and correlated to events, status and situations acquired using vehicle and outside environment sensors. These event signatures are then used to train vehicles to improve their autonomous capabilities. Human sensors are vehicle mounted or frame mounted. Signatures obtained from events are classified and stored.

Various embodiments are directed to systems, apparatus and methods configured for anthropometrics data/measurement acquisition such as for fitment of handguns, hand tools, weapons and the like.

The present disclosure relates to a computer-implemented method for monitoring hand movements of a writing instrument's user, comprising: providing an electromyography sensor on the user's wrist or hand; monitoring hand movements of the user during a writing session with the writing instrument by reading sensors of the writing instrument; monitoring hand muscle activity of the user during the writing session by reading the electromyography sensor; correlating hand motion data and hand muscle data obtained from the monitoring; evaluating the correlated data and classifying the hand movements as normal or abnormal based on at least one of tremor parameters, hypokinetic parameters, and historical data of the user; and providing an indication in case of an abnormal evaluation.

A wearable device includes: at least one compliant region adapted and configured to be placed over a joint of a subject and at least two flexible but less compliant regions coupled to opposite ends of the compliant region. The device provides a wearable robotic device including a wearable and at least one actuator adapted and configured to move the flexible but less compliant regions relative to each other.

A system to provide real-time feedback sensitivity of the patient's anatomical tissues while a practitioner probes with variations of pressure, whether in terms of force or direction, to determine the patient's sensitivity. The system may also be used to provide feedback when a patient undergoes movement such as active or passive ranges of motion. The system records a patient's sensitivity in a variable way as the practitioner provokes through movement of the anatomical tissues to help in the specificity of a diagnosis relating to tissue sensitivity.