One aspect of the invention provides a wearable device including: 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. Another aspect of the invention provides a wearable robotic device including a wearable device as described herein and at least one actuator adapted and configured to move the flexible but less compliant regions relative to each other.

An electrical stimulation is applied to a patient via a lead by increasing a stimulation parameter over time. An anal sphincter response, a bellows response, and a toes response from the patient are detected as a result of the electrical stimulation. A first value of the stimulation parameter associated with the anal sphincter response, a second value of the stimulation parameter associated with the bellows response, and a third value of the stimulation parameter associated with the toes response are determined. A placement of the lead inside the patient is evaluated based on: a chronological occurrence of the anal sphincter response, the bellows response, and the toes response; a comparison of the first value with a predetermined threshold; a deviation of the second value from the first value; a deviation of the third value from the first value; or a deviation of the third value from the second value.

A system for analyzing a body part of a subject includes a sensor interface having a surface for receiving the body part. A light source emits light having multiple wavelengths within the sensor interface to be reflected by the body part interacting with the surface. An imaging system captures images of the reflected light. A computing device generates a pressure distribution map of the body part on the surface based on the images.

Data regarding typing by a user may be collected and analyzed in order to assess one or more health conditions or functional states of the user. Each health condition that is assessed may be a disease or a symptom of a disease. For instance, based on the typing data, a computer may assess the presence, severity or probability of, or a change in, one or more symptoms such as: mild cognitive impairment, dementia, impairment of fine motor control, impairment of sensory-motor feedback, or behavioral impairment. A computer may calculate keystroke tensors that encode information about the typing. A computer may select or derive features from the keystroke tensors. These features may be fed into one or more machine learning algorithms, which in turn may output an assessment of a health condition or functional state of the user.

The techniques described herein relate to a system including: a housing including a gripping area and an exterior wall portion; a receptacle coupled to the housing, or at least partially defined by the housing; a sensor array, including a camera and an accelerometer, wherein the camera is located in an interior of the housing facing toward the exterior wall portion; and a communication nexus in communication with the sensor array including a processor coupled to memory. The processor can detect a tremor in a person using information from the camera and the accelerometer when the person holds the housing by the gripping area. The exterior wall portion can include a material that is opaque or reflective when viewed from the exterior of the housing but is translucent or transparent when viewed from the interior of the housing.

A system and method for assessing a patient's balancing ability in order to facilitate ascertaining the patient's current medical status. The system includes a balance plate for measuring the center of gravity dynamic weight distribution in combination with a sensor for measuring the patient's fine motor skills.

A biometric electronic tablet device for a user includes a base platform adapted to enclose an electronic tablet for the user and a plurality of legs extending from the base platform and downwardly and adapted to contact a support surface to elevate the base platform and the electronic tablet over the user. The biometric electronic tablet stand includes biometric sensors for acquiring a grip strength and biometric data of a user.

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.

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.

A dynamometer may include a sensor embedded within and distributed uniformly within a pad. The pad may be configured for gripping by a human hand or foot such that grip force of particular elements of the human hand or foot may be sensed by the sensor.