A cognitive function evaluation method in a cognitive function evaluation device that evaluates a cognitive function based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one of an angle of an ankle joint of one foot and an angle of a knee joint of one leg of the subject; and determining a cognitive function level of the subject using at least one of the angle of the ankle joint and the angle of the knee joint.

A human body portion tracking method is provided and including obtaining a first image from an image capturing apparatus; identifying a first reference point and a second reference point from the first image; determining a position relationship between a first section and a second section of the human body portion according to three-dimensional coordinates of the first reference point and the second reference point; obtaining a second image from the image capturing apparatus; identifying a third reference point from the second image.

Systems and methods for joint replacement are provided. The systems and methods can include a surgical orientation device and/or a reference sensor device. The surgical orientation device and orthopedic fixtures can be used to locate the orientation of an axis in the body, to adjust an orientation of a cutting plane or planes along a bony surface, to distract a joint, to measure an angle, to orient a cutting guide, to orient a resection guide, to resect the femur, or to otherwise assist in an orthopedic procedure or procedures.

A system and method for human motion detection and tracking are disclosed. In one embodiment, a smart device having an optical sensing instrument monitors a stage. Memory is accessible to a processor and communicatively coupled to the optical sensing instrument. The system captures an image frame from the optical sensing instrument. The image frame is then converted into a designated image frame format, which is provided to a pose estimator. A two-dimensional dataset is received from the pose estimator. The system then converts, using inverse kinematics, the two-dimensional dataset into a three-dimensional dataset, which includes time-independent static joint positions, and then calculates, using the three-dimensional dataset, the position of each of the respective plurality of body parts in the image frame.

A system for monitoring a joint of a patient includes multiple sensors to be disposed near a joint and to measure or observe actions or physical quantities associated with the joint; and at least one communications module coupled to the sensors to receive data from the sensors and to transmit sensor information to an external device. The system also includes a patient device and clinician device which can be used to, for example, monitor and display information obtained from the sensors, determine range of motion measurements from the sensor data, show progress in physical therapy, take a photograph or video of the site on the patient, obtain a pain score, and include friends for providing encouragement during physical therapy.

An electronic device and/or a wearable device for providing a physical ability measurement mode, and operating methods thereof are provided. The electronic device may include a communication module configured to receive sensor data from a wearable device, a processor configured to calculate physical ability information of a user based on the sensor data, and a display module configured to output the physical ability information. The processor may calculate a temporal gait index based on first sensor data including motion information of the user measured by an inertial sensor of the wearable device, calculate a spatial gait index based on second sensor data including a hip joint angle of the user measured by an angle sensor of the wearable device, and calculate the physical ability information based on the temporal gait index and the spatial gait index.

Systems and methods are described to determine joint center of rotation during a procedure. Joint center measurements may be useful to determine other clinically relevant measurements and/or to assist with replacement surgery.

A method of determining the effect of a surgical procedure on a subject's spine. The method includes receiving geometric parameters of the subject's spine, constructing a virtual model of the subject's spine using the geometric parameters, and determining the effect of the surgical procedure on the subject's 5 spine using the virtual model. The virtual model includes node units connected by connector units, where the connector units include virtual springs. The method can also include optimising parameters of a surgical procedure by reducing the error between a target spine and the spine model modified by the surgical procedure. A computer program for performing the method is also described.

A hearing device comprises a processor operatively coupled to memory, a speaker or a receiver, and one or both of a microphone arrangement and a telecoil arrangement. A sensor is operatively coupled to the processor and configured to sense an angular position of the device relative to a horizontal plane oriented orthogonal to a direction of gravity. The processor is configured to detect a change in the angular position of the device from a first angular position to a second angular position, the first angular position corresponding to a specified angular position that provides for a target or optimal level of device performance and the second angular position resulting in suboptimal device performance. The processor is also configured to implement a corrective action that improves performance of the device relative to the suboptimal device performance while operating the device at the second angular position.

An exercise analysis device includes: a group classification unit that classifies activity data, as which measurement data associated with an exercise motion is recorded together with certain reference data that changes during exercise, into multiple groups based on the reference data; a representative data generating unit that generates representative data for the activity data in each of the multiple groups; and a tendency analysis unit that analyzes a tendency of the representative data with respect to the reference data in the multiple groups. With the exercise analysis device, exercise motions can be analyzed appropriately in consideration of the tendency of the entire exercise.