A psychological evaluation device that estimates interest of a subject in a content used integrally with a terminal held by the subject. Acceleration data obtained by an acceleration sensor built in the terminal is acquired, and a frequency analysis is performed on the acquired acceleration data to obtain acceleration in the gravity direction of the terminal. By obtaining the acceleration in the gravity direction of the terminal, it is possible to, for example, estimate the subject's interest in the content based on the integral value of each frequency component of the acceleration in the gravity direction obtained by performing the frequency analysis.

An information processing apparatus includes a storage that stores analysis method information indicating an analysis method of brain waves of a user and notification method information indicating a method for notifying a state of brain waves in association with each of a plurality of user states indicating a symptom or ability of the user, a selection part that selects an improvement target state that is a user state that is to be improved by a target user, an acquisition part that acquires brain wave information of the target user, a state identification part that identifies a state of brain waves indicated by the brain wave information according to an analysis method associated with the selected improvement target state, and a notification part that notifies the target user of the state of the brain waves on the basis of the notification method associated with the selected improvement target state.

The present invention presents a device for calculating, during one step or each successive step of the gait of a subject, the push-off P.sub.0 of the subject, which is the power per kilogram released by the ankle push-off moment, which comprises: at least one inertial measurement unit (1A, 1B) on one foot of the subject, the inertial measurement unit (1A, 1B) having: at least one accelerometer to measure the vertical and antero-posterior accelerations and/or at least one gyroscope to measure the medic-lateral angular speed data {acute over (α)} during the gait, storage and calculation means (2A) connected to the Inertial measurement unit (1A, 1B), configured to calculate: for the foot, and for the step or each successive step of the gait:—the time of the heel-off and the time of the toe-off,—the push-off P.sub.0, by the Euler's equation stating that the sum of moments acting on the foot taken as a rigid body, being equal to the rate of change of the angular momentum of the foot, with the calculation of the push-off P.sub.0 at the time of the toe-off where the sagittal angular momentum is at its maximum in absolute value, displaying means (2B) connected to the storage and calculation means (2A).

A walking training system according to an embodiment includes: a treadmill; a foot sole load detection unit configured to detect load received from foot soles of a trainee aboard a belt of the treadmill; a first photographing device configured to photograph the trainee from a lateral side; a skeletal information acquisition unit configured to acquire first skeletal information that is skeletal information on the trainee in a sagittal plane from an image photographed by the first photographing device; and a specification unit configured to specify respective pieces of skeletal information on a right leg and a left leg included in the first skeletal information acquired by the skeletal information acquisition unit, based on the load received from the foot soles of the trainee detected by the foot sole load detection unit.

The device comprises at least one accelerometer, and a controller receiving input signals from the at least one accelerometer. The controller configured to filter stroke characteristics from the input signal using a filter module. The controller then applies a first statistical module on the filtered signal and obtains a first output signal. Due to the first statistical module, the first output signal is obtained, which is agnostic to type of swim stroke employed by the swimmer. The controller then determines the swim metric based on the first output signal and an adaptive threshold value. The swim metric is lap completion or lap count or turn event, during swimming by a swimmer. The device consumes less power and also agnostic to swim styles and turn styles employed by swimmers.

Provided is an apparatus for measuring implant osseointegration, and the apparatus for measuring implant osseointegration includes: a vibration generation unit configured to apply multiple vibrations with frequencies in different bands, respectively, to an implant fixture; a vibration sensor configured to measure three-axis vibration information of the implant fixture caused by the vibrations from the vibration generation unit; and a control unit configured to determine the degree of osseointegration based on the measured vibration information.

An adaptive support garment integrating directional fabrics to assist in providing adaptive support to select portions of the garment is discussed herein. The adaptive support garment can include a first directional fabric, a second direction fabric, and a tension device. The first directional fabric includes first directional fibers, and the first directional fabric can be coupled to a fixed portion of the adaptive support garment. The second directional fabric includes second directional fibers, and the second directional fabric can be coupled to a movable control structure portion of the adaptive support garment. The tension device can be coupled to the movable control structure and configured to apply a tension in a first direction on the movable control structure. In operation, the first directional fibers can engage with the second directional fibers to resist movement in a second direction opposite the first direction.

A rehabilitation system includes left-hand and right-hand rehabilitation apparatuses that cooperate with programming instructions operating on a patient computer and on a therapist computer that is remote from the patient computer. Each apparatus includes a hand section with movement sensors supported on the backside of the hand of the patient from which patient hand movements can be derived, finger sections moveable relative to the hand section with sensors to track flexing and movement of the finger sections relative to the hand, a wrist section supporting vital sign sensors communicating with the patient, and adjustable resistive elements applied to the finger or hand movements. The system enables a therapist to communicate target movements to the user, as well as allowing the comparison between patient movements conducted at different times or with different hands. Sensor data can be used to measure patient performance that is provided to the patient and the therapist.

Biometric enabled virtual reality (VR) systems and methods are disclosed for detecting user intention(s) and modulating virtual avatar control based on the user intention(s) for creation of virtual avatar(s) or object(s) in holographic space, two-dimensional (2D) virtual space, or three-dimensional (3D) virtual space. A virtual representation of an intended motion of a user corresponding to an intention of muscle activation of the user is determined based on analysis of a biometric signal data of the user as collected by a biometric detection device. The virtual representation of the intended motion is used to modulate virtual avatar control or output to create at least one of a virtual avatar representing aspect(s) of the user or an object manipulated by the user in a holographic space, virtual 2D space, or virtual 3D space. The avatar or the object is created based on: (1) the biometric signal data of a user, or (2) user-specific specifications as provided by the user.

An apparatus, system and technique selectively eliminates the noxious signal components in a neuronal signal by creating an interfering electrical signal that is tuned to a given frequency corresponding to the oscillatory pattern of the noxious signal, resulting in a modified neuronal signal that substantially reproduces a normal, no-pain neuronal signal. The disclosed system and technique of pain relief is based on the hypothesis that the temporal profile of pain signals encodes particular components that oscillate at unique and quantifiable frequencies, which are responsible for pain processing in the brain.