Various systems and methods that enhance an exercise or other physical activity performed by a user are described. In some embodiments, a classification system communicates with a media hub to receive images and perform various methods for classifying or detecting poses, exercises, and/or movements performed by a user during an activity. In some embodiments, the systems and methods include a movements database (dB) that stores information as entries relating individual movements to data associated with the individual movements. Various systems, including class generation systems and body focus/activity systems, can utilize the movements database when presenting class content to users and/or presenting exercise information (e.g., muscle groups worked or targeted) to the users.

An automatic real-time basketball box score recording and analysis system with videos captured from arbitrary angles is applied to a basketball game. A shot analyzing step is performed to analyze the videos to determine whether one of the videos is a real shot event to generate a shot analysis result. A data calculating step is performed to analyze the videos to determine that the real shot event is a three-point shot, a two-point shot or a free throw to generate a scoring result, and then calculate a game data according to the shot analysis result and the scoring result. A player analyzing step is performed to analyze the videos to obtain a posture analysis data of a shooter. The posture analysis data is configured to evaluate a performance of the shooter when shooting. An interface device is configured to modify and display the game data.

A method for motion data processing includes: sensing a plurality of motion data of football player by a magnetic football and magnetic sensors; according to the motion data, analyzing the player's motion trajectory by a processing chip, and identifying whether the player's kicking motion is sliding tackle, smashing or dribbling.

An adaptive sport posture sensing system has a sensing device, a sensing signal acquiring unit and a sport posture processing unit. In the determination mode, the sport posture processing unit selects one piece among multiple established pieces of sport posture reference data according to a sport name, a wearing position and one piece of user body information, the sensing signal acquiring unit obtains at least one first sensing signal sensed by the sensing device, and the sport posture processing unit compares a sport posture data generated based upon the at least one first sensing signal with the selected piece of the sport posture reference data, so as to determine whether a sport posture of the user is correct or not.

A fitness training system discloses a process or method capable of providing interactive physical exercise using one or more smart fitness equipment (SFE). The process, in one aspect, is able to receive an authentication request from an SFE initiated by a user via an authenticator. After retrieving a profile representing a set of predefined information relating to the user from a user profile storage in accordance with the authentication request, an interactive fitness plan is generated based on the profile and a predefined set of datasets produced by one or more fitness machine learning modules using big data. Upon activating a set of sensors capable of monitoring the user in accordance with the interactive fitness plan, various movements associated with the user are detected and/or sensed by the sensors. The process is configured to provide interactive feedback to the user during the workout in response to detected movements.

A ball hitting practice device includes a shaft having a target at a distal end, a grip at a proximal end, an accelerometer, a microprocessor, and a way of providing feedback to a person hitting the target. A ball hitting practice system includes a ball hitting practice device and a computing device wirelessly communicating with the ball hitting practice device. A method for practicing ball hitting involves striking the target of a ball hitting practice, transferring timed acceleration data to the computing device, correlating ball hitting parameters with a training condition and displaying the correlated ball hitting parameter in a display.

Provided is a technique with which a batter who is practicing batting with a tee can acknowledge how the batter should change his/her hitting posture. An information processing device includes a processor that executes: (a) continuously measuring, according to either or both of output signals from a motion sensor and a force plate, a posture of a batter who is practicing batting with a tee; (b) determining, according to an output signal from a force sensor internally stored in the tee, a timing at which the batter hits a ball placed at the tee; (c) determining, as a hitting posture of the batter, a posture of the batter at the determined timing; and (d) outputting a message instructing the batter to change the batter's hitting posture, according to information indicating an exemplary hitting posture and information indicating the determined batter's hitting posture.

A method may include obtaining sensor data from one or more activity sensors, each of the activity sensors being coupled to a respective area of a sports user. The method may include obtaining image data of the sports user and each of the activity sensors coupled to the sports user. The method may include identifying, by a machine learning module and based on the sensor data and the image data, a respective muscle associated with each respective area to which the activity sensors are coupled. The method may include identifying movement of the sports user based on the sensor data from the activity sensors and the identified body part. The method may include analyzing the identified movement of the sports user including evaluating a body posture of the sports user, identifying one or more movement patterns of the sports user, and/or performing an injury assessment for the sports user.

The disclosure relates to a system for evaluating movement of a body of a user. The system may include a video display, one or more digital cameras, and a processor. The processor may control the one or more cameras to generate images of at least the part of the body over a period of time. The processor may estimate a position of a plurality of joints of the body. The processor may receive a selection of a tracked pose, and determine, from the plurality of joints, a set of joints associated with the tracked pose. The processor may generate at least one joint vector connecting joints in the set of joints, and assign, based on changes in the joint vector over the period of time, a form score to a performance of the tracked pose. The processor may then generate a user interface that depicts the form score.

A switchable intelligent fitness handle is disclosed. A processor (11), a movement posture sensor (12) and a touch sensor (13) are built in the handle (7). The movement posture sensor (12) and the touch sensor (13) are connected to the processor (11). Each handheld fitness equipment has a corresponding sensor, and a pin connector (16, 17, 18, 19) that is matched with the bayonet (15) of the handle and provided with a signal line. Thus, the goal of accomplishing a set of exercises with a plurality of handheld fitness equipments by using one same set of handles can be achieved. An intelligent fitness set containing the fitness handle is further disclosed.