Patent classifications
A63B2024/0012
Sport training on augmented/virtual reality devices by measuring hand-eye coordination-based measurements
A method, computer system, and computer program product for sport training on an augmented reality device or a virtual reality device is provided. The embodiment may include capturing a plurality of user movement data using one or more sensors. The embodiment may also include measuring a user body and eye gaze position based on the plurality of captured user movement data. The embodiment may further include calculating a body position difference by comparing the measured user body and eye gaze position with an expert-specified body position sequence. The embodiment may also include determining a body position quality threshold is not satisfied based on the calculated body position difference. The embodiment may further include generating an instruction based on the compared calculated body position difference.
MOVEMENT DETERMINATION METHOD, MOVEMENT DETERMINATION DEVICE AND COMPUTER-READABLE STORAGE MEDIUM
The disclosure provides a movement determination method, a movement determination device, and a computer-readable storage medium. The method includes the following. In response to determining that a user has presented an initial movement corresponding to a to-be-detected movement, an anchor joint point among multiple joint points of the user is decided based on the to-be-detected movement. A movable range of each of the anchor joint points is decided. In response to determining that each of the anchor joint points leaves the corresponding movable range, it is determined that the user has stopped performing the to-be-detected movement.
METHOD, DEVICE, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR ESTIMATING INFORMATION ON GOLF SWING
A method for estimating information on a golf swing is provided. The method includes the steps of: when a photographed image of a user's golf swing is acquired, detecting at least one joint of the user from the photographed image using an artificial neural network model; comparing the user's golf swing and a golf swing of a comparison target with reference to a position of the at least one detected joint; and estimating information on the user's golf swing on the basis of a result of the comparison.
POSITION SENSE CORRECTION DEVICE, METHOD, AND PROGRAM
A position sense correction device according to an aspect of the present invention includes a movement information obtainment unit, a storage unit, a difference calculation unit, a repetition number calculation unit, and a goal value calculation unit. The movement information obtainment unit obtains a measurement value of a physical position of a body part which a subject is able to autonomously move. The storage unit stores therein a final goal value that is set in advance. The difference calculation unit calculates a difference between the final goal value and the measurement value. The repetition number calculation unit calculates, on a basis of the difference, a number of times the subject needs to make a voluntary movement until the measurement value reaches the final goal value. The goal calculation unit calculates a goal value with respect to each voluntary movement on a basis of the number of times.
Sports training system
A sports training device includes a glove with a main body. The main body has a palm portion and a back portion. The main body is configured to receive a hand of a user. A plurality of finger receptacles is disposed on the main body. Each finger receptacle of the plurality of finger receptacles has a proximal end disposed adjacent to the main body and a distal end disposed opposite the proximal end. The plurality of finger receptacles includes a thumb receptacle, a first finger receptacle, and a second finger receptacle. Each of the distal end of the thumb receptacle, the distal end of the first finger receptacle, and the distal end of the second finger receptacle are open. A sensor is disposed on the glove and is configured to monitor a release of an object to be thrown.
TRACKING REPETITIONS BY HEAD-MOUNTED DEVICE BASED ON DISTANCE
A method can include determining, by a head-mounted device based on first data received from a depth-sensing device included in the head-mounted device, that a first distance of the head-mounted device from a landmark is outside a completion range; outputting, based on the determination that the first distance of the head-mounted device from the landmark is outside the completion range from the landmark, an indication that a repetition has yet to be completed; determining, based on second data received from the depth-sensing device, that a second distance of head-mounted device from the landmark is within the completion range; and based on the determination that the second distance of the head-mounted device from the landmark is within the completion range, incrementing a repetition counter and outputting an indication that the repetition has been completed.
ACTION FEEDBACK METHOD AND DEVICE
An action feedback method and device are provided. The method includes: judging whether an action is safe; and obtaining motion parameter data corresponding to the action in response to a judgment that the action is safe, and conducting parameter feedback according to the motion parameter data.
ELECTRONIC DEVICE AND OPERATION METHOD THEREFOR
Provided is an electronic device and an operating method of an electronic device. The operating method of the electronic device includes obtaining object identification information of an object based on an image obtained from a camera, obtaining camera information indicating a capturing range of the camera, obtaining search information based on at least one of the object identification information and the camera information, transmitting the search information to a server, receiving a content list from the server, wherein the content list is searched based on the search information, and outputting the content list.
Apparatus and method for exercise type recognition
A method is provided. The method comprises a first step of acquiring wrist exercise information including at least one of orientation information and motion information of a wrist of a user, a second step of acquiring upper body exercise information including at least one of orientation information and motion information of a torso of the user, a third step of calculating, using reference wrist exercise information and reference upper body exercise information corresponding to each of a plurality of exercise types, a first similarity degree between the reference wrist exercise information and the wrist exercise information and a second similarity degree between the reference upper body exercise information and the upper body exercise information for each of the exercise types, and a fourth step of determining an actual exercise type performed by the user, among the exercise types, based on the first similarity degree and the second similarity degree.
Method of gait evaluation and training with differential pressure system
There is described an integrated unweighted gait training system having an unweighting system comprising a computer controller; a gait measurement system in communication with the controller; and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the integrated unweighting gait training system. The unweighting system may be a differential air pressure (DAP) unweighting system or a non-DAP unweighting system.