A lap counting system includes a pool that has an outer wall. The outer wall has an inside surface and the pool may contain a liquid. A tracking unit is coupled to the pool. The tracking unit is positioned on the inside surface such that the tracking unit may be submerged in the liquid. Thus, the tracking unit is accessible to a swimmer. The tracking unit is sensitive to touch such that the tracking unit may be engaged by the swimmer each time the swimmer completes a lap in the pool. Thus, the tracking unit records and times each lap swam by the swimmer.

A training system based on mobile technology and kinematics of human motion characterizes, analyzes, and supplies feedback to a user based on the user's movements. The training system includes a garment having a sensor control module connected to multiple sensor nodes via electrically-conductive fabric running along parts portions of the garment. The sensor module/nodes can communicate through the conductive fabric. The sensor nodes acquire motion and/or physiologic readings that are wirelessly transmitted to a mobile computing device that runs an application that analyzes the data and provides visual (e.g., graphs, 3D avatar) and audio feedback (e.g., voice prompts). Vibration motors and LEDs/electroluminescent fabric in the garment also provide notifications and alerts. The triple layer of garment, conductive fabric, and sensor module/sensor node are sealed against contaminants, allowing the garment to be washable.

An imaging device comprising a housing configured to be coupled to a basketball backboard, a lens disposed in the housing, a control unit disposed in the housing, the control unit comprising one or more processors, and a memory coupled to the one or more processors. The one or more processors are configured to perform operations stored in the memory including performing line detection from captured image data, providing, to a trained machine-learning model, adjusted image data based on one or more algorithms applied to the captured image data, wherein the one or more algorithms are based on whether or not lines are detected from the captured image data and generating, from output of the trained machine-learning model, data indicating characteristics of a basketball action associated with one or more users.

A system and method for calculating step count and associated physical movement intensity. In some embodiments, the system includes at least a camera to capture video of user motions, which are analyzed, and the corresponding step count and physical exercise intensity are deduced by the disclosed method.

Systems and methods are described for providing coaching, training, or equipment specification information to individual golfers based on data generated during their individual golf swings. Additionally, data hubs are described that provide information and services to individuals based on data collected for a community of multiple golfers. Such community data hub systems and methods may provide one or more of the following: (a) storage of scoring data, swing data, ball flight data, and/or equipment data for multiple golfers; (b) at least some level of individual access to the stored data for the community; and/or (c) electronic interaction between golfers within the community.

A hit ball direction teaching apparatus includes a target direction acquisition section that acquires a target hit ball direction, an environmental information acquisition section that acquires environmental information, a processing section that obtains a delivery direction of a hit ball on the basis of the target hit ball direction and the environmental information, and generates notification data of the delivery direction, and a notification section (display) that performs a notification of the delivery direction on the basis of the notification data.

A rope exercise simulation device comprises a handle and an elongate housing with at least one internally located displaceable weight. The housing extends substantially orthogonally with respect to an axis of the handle and the at least one weight is arranged to move between the ends of the housing acting against one or more resiliently deformable means.

A system for analyzing electrophysiological signals comprises a plurality of electrodes which are adherable to a skin of a subject, and which comprises a ground electrode and a set of signal electrodes. The system also comprises a processor in communication with the electrodes. The processor has a circuit configured to receive from the signal electrodes a first set of signal channels when the ground electrode is disconnected and a second set of signal channels when the ground electrode is active, to compare powers above baseline among the first and the second set of signal channels, and to determine an attachment state of each electrode based on the comparison.

Systems and methods are described for providing coaching, training, or equipment specification information to individual golfers based on data generated during their individual golf swings. Additionally, data hubs are described that provide information and services to individuals based on data collected for a community of multiple golfers. Such community data hub systems and methods may provide one or more of the following: (a) storage of scoring data, swing data, ball flight data, and/or equipment data for multiple golfers; (b) at least some level of individual access to the stored data for the community; and/or (c) electronic interaction between golfers within the community.

An apparatus for correcting a golf address to be adhered to the body of a user, including: an input module in which the user pushes an input button to set a target azimuth while looking at a target point in a user setting mode; an azimuth calculation module comprising an accelerometer for measuring gravity direction, a gyroscope for measuring the x-axis, y-axis and z-axis directions of a golf club face, and a calculation processor for calculating the address azimuth of the user with respect to the target azimuth set in the input module by using the values measured at the accelerometer and the gyroscope when the user is in an address posture in a user execution mode; and an output module for outputting the address azimuth calculated at the azimuth calculation module.