A method provides for optimizing at least one exercise. The method includes receiving first image data. The first image data includes first pixel data associated with the user performing the exercise at a first time. The method includes receiving second image data. The second image data includes second pixel data associated with the user performing the exercise at a second time. The method includes determining, based on a difference between the first pixel data and the second pixel data, deviation data associated with a profile of the user. The method includes generating outline data based on the deviation data and corresponding to a frontal area of the user. The method may also include determining drag coefficient data based on the frontal area of the user. The method includes determining, based on the outline data and the drag coefficient data, drag force data associated with the user using the exercise device.

A scoring system of automatically detecting body motion includes a storage, a first motion sensor, and a processor. The storage is configured to store standard motion signal data corresponding to a multimedia signal, which the standard motion signal data includes a plurality of scoring segments, and the plurality of scoring segments are generated according to beat data of the multimedia signal and the standard motion signal data. The first motion sensor is configured to receive a first sensing signal, which the first sensing signal is generated by a set of user-motion according to the multimedia signal. The processor is configured to recognize user's motion signal of the first sensing signal and acquire to-be-scored-motion signal data corresponding to the plurality of scoring segments; and compare the to-be-scored-motion signal data corresponding to each of the plurality of scoring segments with the standard motion signal data to generate a score.

Various technological methods are utilized to collect user health and exercise-related data from one or more users of an application and the collected user data and user activity data is utilized to generate visual, audio, textual, and/or physical data representations, which may be provided to the one or more users either dynamically in real-time during an activity, such as a physical exercise activity, or may be provided to the one or more users after the completion of one or more activities.

Devices such as medical devices, including those for use in conducting pelvic muscle exercise, are generally provided. Embodiments herein relate generally to the medical device and consumer medical product fields, and in some embodiments, to a device for sensing, guiding, and/or tracking pelvic muscle exercise in men and women for the purpose of treating urinary incontinence, sexual dysfunction, and other pelvic conditions.

The present embodiments provide systems and methods for aggregating measurements captured by different technologies during a golf swing. By capturing measurements using different technologies, more accurate measurements may be provided to a user by selecting from the measurements, offsetting measurements based on the technologies used, and aligning measurements between devices. Further, by aggregating measurements received from different devices, additional features and functionality may be provided to the user that is absent from any one device used alone. Additionally, by storing the aggregated measurements, users, club fitters and instructors may access and leverage larger databases of measurements to better understand the user's golf swing and to provide better recommendations and instruction to the user.

A system includes wearable devices positioned on a subject in different locations. Each wearable device includes motion sensors that measure the subject's movement in three dimensions. The motion sensors generate raw sensory data as the subject performs a physical movement. A data filter is selected based on a condition of the subject and a designated movement corresponding to the physical movement, and used to convert the raw sensory data into formatted data. A level of compliance of the physical movement with a movement model for the designated movement is determined by applying comparative modeling techniques to the formatted data and the movement model. Real-time feedback is delivered dynamically to the subject by the wearable devices during the performance of the physical movement based on the level of compliance. The movement model can be generated, and the comparative modeling techniques can be selected, based on the condition of the subject.

An image capturing apparatus is disclosed herein. More specifically, image capturing apparatus disclosed herein will be used to help a golfer properly select a golf club utilizing a high speed camera attached to a gantry apparatus capable of adjusting its own position relative to the golfer in order to capture data of a golf swing in an iron type golf club.

An athletic training system (200) has a data recording system (202) and a data engine (204). The data recording system (202) is configured to record an athletic competition event. The event may have a first team of players competing against a second team of players. The data engine (204) is configured to receive data associated with the recorded athletic competition event. The data engine (204) processes the data and displays the data as a replay of the event in animated form.

A robotic training apparatus for martial arts and combat sports that is of a dimension like a punching bag and can be hung or mounted on a floor. The apparatus includes a frame, an upper revolving member and a lower revolving member mounted to the frame, wherein the two members can revolve independently of each other along a vertical axis. A pair of robotic arms coupe to the upper revolving member can be actuated to resemble a punching action. A pair of robotic legs coupled to the lower revolving member can be actuated to resemble a kicking action. Both the pair of robotic arms and the pair of robotic legs horizontally extends from the upper revolving member and the lower revolving member respectively.

A system configured to be coupled with a participant of an activity. The system comprises: a participant activity monitoring unit configured for monitoring a performance of the activity by the participant; an activity information module configured for storing performance information corresponding to the activity; and a participant performance correlator configured for delivering comparative performance data based on the monitored performance of the activity by the participant and the stored performance information.