The motion sickness estimation device includes an opening and closing detection unit configured to detect an opening/closing state of an eye of a vehicle occupant, a face direction estimation unit configured to estimate an orientation of a face of the occupant, and an occupant state estimation unit configured to calculate a traveling speed of the motion sickness with respect to the occupant based on the opening/closing state of the eye and the orientation of the face.

The present invention relates to a pressure-measuring foot hoard having a sturdy structure which may be used in an exercise apparatus capable of precisely measuring and correcting the state of imbalance of the body of a user, and to an exercise apparatus for correcting the state of imbalance of the body comprising the pressure-measuring foot board. The pressure-measuring foot board according to the present invention may firmly fix a pressure-measuring element for measuring the state of imbalance of the body of a user while also preventing or minimizing damage to the elements of the foot board, including the pressure-measuring element, when the foot board is being tilted for balancing exercises. Moreover, an exercise apparatus for correcting the state of imbalance of the body may be provided which can, by means of the pressure-measuring foot board, precisely measure the state of imbalance of the body, and, on the basis thereof, provide corrective exercises that are suitable for the amount of imbalance of each individual's body.

A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

The present invention patent application for a system and method for preventing and predicting the risk of postural drop is in particular aimed at the health innovation sector, hardware engineering, software engineering, medical engineering, biotechnology, and more specifically to the field of wearable electronic systems for preventive medicine. The inventive solution is in the composition of solutions involving method and system enhanced through the use of specific signal processing, providing the clinical environment (4) and daily environment (5) with a low-cost, easy-to-understand solution that can be measured using graphs and numbers, as opposed to the existing clinical approach based on subjective evaluation, or the existing prior art that involves preventing drops exclusively from a motor perspective, and not systemically as recommended by scientific evidence.

A device for recording physiological information includes a carrier board comprising a plurality of force transducers and a plurality of contact sensing elements; and a processing unit, coupled to the force transducers and the contact sensing elements, configured to determine a center of gravity (COG) according to outputs of the force transducers, configured to determine a contacted range according to outputs of the plurality of contact sensing elements, configured to record the center of gravity and the contacted range, wherein the gravity and the contacted range substantially correspond to the same time point.

A virtual or augmented reality based tracking system for assessment of postural sway is provided. In various embodiments, positional data are collected from a user from a headset and/or one or more hand sensors. The positional data is processed to determine the center of mass of the user. In determining of the center of mass, positional data may be given a higher or lower weight compared to other positional data. A virtual reality environment is presented to the user through the headset and may be altered to simulate unbalancing of the user. The raw position data and center of mass are sent to a remote server. A report of user sway is generated from the center of mass. Nausea reduction may be implemented by narrowing a field of vision of the user.

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 meter of gravity dynamic weight distribution in combination with a sensor for measuring the patient's fine motor skills.

Systems and methods for monitoring movement capabilities using clinical mobility based assessments of a user are provided herein. In embodiments, methods include: providing, using a mobile device comprising an inertial measurement device, a clinical mobility based assessment to a user; and generating, using the inertial measurement device, inertial data of the user that is indicative of movement capabilities of the user based on the clinical mobility based assessment. Embodiments include logging the inertial data of the user locally to the mobile device resulting in locally logged inertial data of the user; processing in real-time the locally logged inertial data of the user to determine position and orientation of the mobile device during the clinical mobility based assessment; and determining, using the position and the orientation of the mobile device during the clinical mobility based assessment, a physical movement assessment of the user associated with the clinical mobility based assessment.

The present invention relates to an eye movement measurement method including the steps of: (a) presenting standardized nystagmus test items and receiving am image of an eye in accordance with the standardized nystagmus test items; (b) recognizing a pupil and an iris from the image of the eye; (c) calculating amounts of horizontal and vertical changes of the pupil and an amount of torsional movement of the iris; (d) determining change values and orientations for three axis directions of the eye on the basis of the amounts of the horizontal and vertical changes of the pupil and the amount of the torsional movement of the iris; and (e) generating a diagnosis result for vertigo through deep learning modeling on the basis of the change values and orientations of the three axis directions of the eye.

A cognitive function evaluation device includes: an obtainment unit configured to obtain, as gait data, at least one of first data and second data, the first data indicating a sway amount of a body of a subject during walking in a first walking section from start of walking of the subject to a predetermined number of steps, and the second data indicating a sway amount of the body of the subject during walking in a second walking section in a double task state in which the subject is walking while doing a given assignment, the second walking section being after the first walking section; a calculation unit configured to calculate a feature value based on the gait data; an evaluation unit configured to evaluate a cognitive function of the subject, based on the feature value; and an output unit configured to output a result of evaluation by the evaluation unit.