The disclosure is related to a method and a system for posture correction adapted to one sporting equipment. In the method, a force distribution history responsive to force or pressure data detected by one or more pressure sensors mounted on a surface of the sporting equipment over a period of time is firstly obtained. The pressure value is recorded in the force distribution history once it is detected that a pressure value exceeds a threshold, and the force distribution history is compared with a selected force pattern model so as to obtain a deviation distribution model. The deviation distribution model renders a correction data for the posture correction.

Adapter devices that adapt hand exercise devices to permit the use thereof by persons of widely variable hand size, and permit the use thereof in exercises or tests other than the isometric exercises and tests for which they are known. The adapters provide replacement grips and couple force applied to those replacement grips to the handgrip surfaces of the hand exercise device. One version of the adapter includes a piston and cylinder connected to the replacement grips that move in a range of motion during a hand exercise or test, to allow for isotonic, isokinetic or isodynamic hand exercises. Other versions of the adapter use removable cams, screw cams, rotary cams, and sliding cams to adjust the distance between the grips for the size of the user's hand. A further adapter provides replacement grip surfaces sized for a user's finger and thumb for performing a pinch exercise or test.

The invention refers to a pen with a shaft, a gripping zone, and a measuring device having a sensor, the measuring device measuring a force acting on the gripping zone. According to the invention, a cover is provided in the area of the gripping zone, said cover covering the measuring device on the outside.

Survivors of central nervous system injury commonly present with spastic hypertonia. The affected muscles are hyperexcitable and can display involuntary static muscle tone and an exaggerated stretch reflex. These symptoms affect posture and disrupt activities of daily living. Symptoms are typically measured using subjective manual tests such as the Modified Ashworth Scale; however, more quantitative measures are necessary to evaluate potential treatments. The hands are one of the most common targets for intervention, but few investigators attempt to quantify symptoms of spastic hypertonia affecting the fingers. An Isometric Force Pillow (IFP) is provided herein to quantify involuntary grip force. This lightweight, computerized tool provides a holistic measure of finger flexion force and can be used in various orientations for clinical testing and to measure the impact of assistive devices.

Systems and methods of training vehicles to improve performance, reliability and autonomy of vehicles. Sensors capture a vehicle driver's eye movements, hand grip and contact area on steering wheel, distance of the accelerator and brake pedals from the foot, depression of these pedals by the foot, and ambient sounds. Data from these sensors is used as training data to improve autonomy of vehicles. Detection of events occurring outside a vehicle is made by comparing human sensor data with an associated road map to determine correlation. Signatures corresponding to human reactions and actions are extracted, which also incorporate data acquired using vehicle and outside environment sensors. By scoring driver responses to events outside the vehicle as well as during non-events, expert drivers are identified, whose responses are used as a part of vehicle training data.

Systems and methods of training vehicles to improve performance, reliability and autonomy of vehicles. Sensors capture a vehicle driver's eye movements, hand grip and contact area on steering wheel, distance of the accelerator and brake pedals from the foot, depression of these pedals by the foot, and ambient sounds. Data from these sensors is used as training data to improve autonomy of vehicles. Detection of events occurring outside a vehicle is made by comparing human sensor data with an associated road map to determine correlation. Signatures corresponding to human reactions and actions are extracted, which also incorporate data acquired using vehicle and outside environment sensors. By scoring driver responses to events outside the vehicle as well as during non-events, expert drivers are identified, whose responses are used as a part of vehicle training data.

This disclosure relates to a device to mechanically and electrically connect with a touch screen computing device, such as a tablet computer. The device can include a platform that can be moved into and out of physical contact with a surface of a touch screen. During engagement with the surface, the moveable platform electrically interacts with the touch screen (e.g., via capacitive coupling) to enable detection by the touch screen of contact members (e.g., pegs) even in the absence of user contact with the pegs.

A system for detecting disease progression can include an injection device configured to deliver medicament to a patient, one or more load sensors, one or more motion sensors, and a processor configured to read data from one or more of the load sensors and motion sensors and produce an output for display to a user.

This disclosure describes a multifunctional assessment system that can include a seating platform (e.g., chair, bench, or the like) for a subject, an image-capturing device, and one or more sensors directly or indirectly coupled to the seating platform. The image-capturing device (e.g., camera or motion sensor) records ambulatory motion of the subject, and the one or more sensors can detect at least one of a force or a motion of the subject, such as a seating motion, posture, weight distribution, and motions or forces associated with the subjects overall health. For example, motions or forces detected can be associated with a subject's ability to get up off the seating platform, sit upright, grip strength, and so forth.

A grip interface is used to provide information about a user to a range of connected devices and applications based on the users' interactions with the grip. By embedding into the grip an array of sensors for motion, health, environmental and other data using embedded microcontroller network technology, and focusing on the grip as the interface between the physical and virtual worlds, applications and services to existing grip-based devices are enabled. Applications for the grip include as sports, fitness equipment, health monitoring, activity tracking, coaching, physical therapy, mobility aide and virtual entertainment, among others.