The present disclosure is directed to a non-intrusive, integrated system comprising an umpire bot for automatically monitoring, umpiring, scoring, analytics, learning and coaching for players while eliminating need for human umpires and scorers. The automated umpire bot with intelligent telescopic function monitors, cognitively recognizes and captures movements from all equipment's, analyses them, moves up and down and even avoid ball collision travelling towards it. The non-intrusive real time system captures all the game moments right from players initiation, toss of coin, commencement of game, monitoring field positions, keeping scores, umpiring decisions, overs, valid/in-valid deliveries, validating balls per over, wickets, catches, boundaries, sixes and displaying scores and statistics all throughout the game.

A kinetic motion learning device includes an information storage unit configured to associate and store in advance a pitching motion video and pitching trajectory information for a plurality of pitches actually delivered by a pitcher on a potential opponent team, and is configured to read a set of the pitching motion video and the pitching trajectory information stored in the information storage unit, output the pitching motion video being read to a projector, output the pitching trajectory information being read to a pitching machine, and control motion timings of the projector and the pitching machine so that a time of ball release of the pitcher in the pitching motion video displayed on a screen and a time of the pitching machine launching the ball with the pitching trajectory information match. The projector is configured to project the pitching motion video onto the screen so that the pitching motion video is displayed on the screen at a motion timing controlled by the kinetic motion learning device. The screen includes a hole through which a ball launched by the pitching machine can pass at a position of ball release of the pitcher in the pitching motion video displayed.

A sports training aid comprising a body unit, attachable to a person's body or the person's sports implement, is provided with a positioning sensor module; a feedback stimulator; and a processor. The sports training aid is configured to provide instantaneous feedback on motion faults of a studied sports motion, and the body unit is intended to be attached to a person's body (or a person's sports implement) at a representative location, the location being bound to travel a path representative of the studied sports motion, and the positioning sensor module comprises acceleration sensors and gyro sensors. The processor is configured to determine a still position corresponding to an event wherein the body unit is determined to be still, to keep track of the sensor module's movements relative to the still position, and to activate the feedback stimulator in real time, upon detection of a sports motion fault.

In accordance with embodiments disclosed herein, there are provided systems, methods, and apparatuses for implementing a GPS directional swimming watch for the eyesight impaired. For example, according to one embodiment there is a wearable navigational apparatus including: a mechanical input to receive coordinates for a first location located at an end of a first fixed segment originating from an starting point in a first single cardinal direction; a mechanical input to receive coordinates for a second location located at the end of a second fixed segment originating from the first location in a second single cardinal direction perpendicular to the first cardinal direction, in which the first and second fixed segments form a selected route; a haptic feedback motor having a magnetized compass integrated therein to signal a wearer directional information relative to the first and second locations set, in which the hepatic feedback motor signals the wearer to change direction upon any of: (i) reaching the first location, (ii) reaching the second location, and (iii) deviating from any point along the selected route during bidirectional navigation; and a return function to signal to the wearer, via the haptic feedback motor, directional information relative to the starting point from any point along the selected course. Other related embodiments are described.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

An exercise feedback system receives exercise data such as images or video captured by client devices of users performing exercises. The exercise feedback system may access a machine learning model trained using image of a population of users. The images used for training may be labeled, for example, as having proper or improper musculoskeletal form. The exercise feedback system may determine a metrics describing the musculoskeletal form of a user by applying the trained machine learning model to images of the user as input features. The exercise feedback system may generate feedback for a certain exercise using the metrics based on output predictions of the model. The feedback can be provided to a client device of the user or a physical therapist for presentation.

A goal management system receives input of a qualitative first goal related to a body of a user (step S111), identifies a quantitative second goal related to the body of the user from the first goal thus received (step S112 to step S117), and presents the second goal thus identified (step S118). The first goal is converted into the quantitative goal for at least one of a plurality of feature amounts related to the body, thereby identifying the second goal including at least one goal obtained by such conversion. The first goal is converted into the quantitative goal for each feature amount corresponding to a meaning obtained by linguistic analysis. When there are a plurality of meanings obtained by linguistic analysis of the first goal, the first goal is converted into the quantitative goal for each feature amount on the basis of a range of each feature amount per meaning. This makes it possible to indicate a quantitative goal related to the body without receiving input of a goal that is a quantitative numerical value related to the body.

Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing various athletic movements and generating performance characteristics based on the data corresponding to such athletic movements. Users may also be encouraged to participate in athletic challenges or competitions against other users or groups of users. In addition, athletic movement data for multiple persons can be collected at a central location, and subsequently displayed to a user at a desired remote location, so that the user can compare his or her athletic activities to others.

Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts/protocols; real-time progress bar; multi-location database capabilities; and reports.

An Internet of Thing (IoT) sport device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.