A system includes a mobile device having one or more cameras to take images; a sensor detecting reflected light from one or more lasers and a diffuser to detect object range or dimension; code for motion tracking, environmental understanding by detecting planes in an environment, and estimating light and dimensions of the surrounding based on the one or more lasers; code to estimate a three-dimensional (3D) volume of an object from multiple perspectives and from projected laser beams to measure size or scale and determine locations of points on the object's surface in a plane or a slice using time-of-flight, wherein positions and cross-sections for different slices are correlated to construct a 3D model of the object, including object position and shape; the device receiving user request to select a content from one or more augmented, virtual, or extended reality contents and rendering a reality view of the environment.

A processing device receives, from a three-dimensional (3D) motion capture system, initial data representing an initial orientation of a subject user's body in an initial position. The processing device further receives x-ray data representing at least the portion of the subject user's body in the initial position. The processing device determines an actual orientation of at least one bone or joint from the portion of the subject user's body in the initial position as represented in the x-ray data and calibrates the initial orientation of the 3D motion capture system to reflect the actual orientation of the at least one bone or joint in the initial position.

The present invention relates to a device, system and method for determining a vital sign of a person. To improve accuracy and reliability of vital sign determination, the device comprises an input unit (20) for obtaining a vital sign related signal of at least a body part of the person, from which a vital sign can be derived, a body part position determining unit (21) for determining if said body part of the person is in contact with a support or not and generating a contact signal indicating if said body part is in contact with the support or not, a quality metric setting unit (22) for setting, based on said contact signal, a quality metric for use in the determination of a vital sign of the person, and a vital sign deriving unit (23) for deriving a vital sign from the obtained vital sign related signal, wherein the set quality metric is used in the derivation of the vital sign and/or in a judgment of the reliability of a derived vital.

Method for detecting biomechanical and functional parameters of the knee in a situation of performance stress, which comprises: a step for the set up of video recording means (1); a step for the set up of multiple optical markers (4) at specific landmark anatomic points (PA) of the foot and of the knee of a person; a step for the set up, at the plantar surface of the foot, of baropodometric means (5); a step for the acquisition, by means of the video recording means (1), of images of at least one reference action, and a step for the detection, by means of the baropodometric means (5), of baropodometric parameters; a step for calculating, from the baropodometric parameters, the coordinates of the center of pressure (COP) of the foot and of the constraining reaction force (FV) acting on the foot; a step for calculating a force arm (BF) given by the distance between the center of pressure (COP) and a reference point (PR) of the knee; a step for calculating a biomechanical parameter indicative of the valgus moment, derived from the vector product (PV) of the force arm (BF) and the constraining reaction force (FV).

A method for calibrating respective estimated joint axis directions for each of a pair of body mounted sensors, one of the pair of sensors being located to each side of the joint comprising a joint axis, the sensors each calculating a pitch angle about respective first sensor axes and a roll angle about respective second sensor axes, the first and second sensor axes together with a third sensor axis orthogonal to the first and second sensor axes forming a sensor frame, the method comprising: receiving orientation data for each of the two sensors, the orientation data being associated with at least two different poses of the joint for each of the two sensors and the orientation data comprising the pitch angle and the roll angle of the sensor for each pose; calculating a sensor frame estimated gravity vector for each pose associated with each sensor based on the pitch and roll angles for each pose associated with each sensor and a gravity vector running along a vertical direction; and determining the estimated joint axis directions for the joint axis, relative to the first and second sensor axes, for each sensor that minimise a loss function concerning projections of each sensor frame estimated gravity vector for each pose associated with each sensor on to the estimated joint axis direction for the respective sensor.

The present invention relates to a system for monitoring a physical movements of a user, the system comprising: a detection unit configured for receiving a signal obtained by a sensor device representative of a sensed bodily activity, calculating a load index value and communicate, e.g. to the user wearing the sensor device, the value of the load index value. The invention also relates to a method for monitoring and evaluating physical movement of a user and providing feedback to the user.

The head-position sway measuring device (D) includes a touch panel (1a) that gives the instruction to open or close eyes, an acceleration sensor (2a) that measures a displacement of a head position, and a sway recognition unit (1b) that recognizes a head-position sway value based on the displacement of the head position. The acceleration sensor (2a) measures a first measurement value, which is a measurement value obtained in the eye-open state, and then measures a second measurement value, which is a measurement value obtained in the eye-closed state. The sway recognition unit (1b) recognizes the head-position sway value based on the first measurement value and the second measurement value.

In various examples, a cognitive load of a user may be inferred. Motion sensor data indicative of head movement of the user may be generated with a motion sensor disposed adjacent a head of the user. The motion sensor data may be analyzed to infer a feature of a gait of the user. The user's cognitive load may be inferred based on the feature of the gait.

The invention relates to a wearable device for determining a nature of motion and/or a physiological state of a wearer. The wearable device comprises a body portion configured to be worn by the wearer and at least one sensor mounted to the body portion configured to, while the wearable device is being worn, detect a motion parameter of the wearer and/or a physiological parameter of the wearer and generate input data indicative of the motion parameter and/or the physiological parameter. The wearable device further comprises a processor configured to receive the input data from the at least one sensor and process the input data by executing an algorithm to determine the nature of motion and/or the physiological state of the wearer while the wearable device is being worn. The invention further relates to a system for determining a nature of motion and/or a physiological state of a wearer.

An information processing method that is executed by a computer, the method comprising: acquiring motion information detected by a motion detection device, the motion detection device configured to detect a motion of a subject; storing the acquired motion information; deriving reference motion information on a left half of a body of the subject and reference motion information on a right half of the body of the subject based on the stored motion information in a predetermined period; and determining whether an abnormal state in which there is a possibility of cerebral infarction in the subject is present based on the derived reference motion information and motion information on the left half of the body of the subject and motion information on the right half of the body of the subject at a detection time subsequent to the predetermined period.