An exercise machine is described that incorporates a double retractable resistance band system for rowing exercises and that includes a multi-purpose, morphable swinging seat assembly that applies to convertible exercise machines and rowing boats. The double retractable rowing system is detachably integrated into a base plate (inclined planar board) of the exercise machine. The base plate consists of a platform set at an angle consistent with the foot-placements of sit-down rowing machines and rowing shells together with an integral set of quick-release slots located above and to the outside of the toes of the foot placement positions. The multi-purpose, morphable swinging seat assembly provides an improved method/structural assembly for seat-based rowing machines, convertible/multi-purpose exercise machines and an improved architecture for boat-based rowing systems.

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 method for monitoring a person performing a physical exercise based on a sequence of image frames showing an exercise activity of the person. The method includes extracting, based on the sequence of image frames, for each image frame a set of body key points using a neural network, the set of body key points being indicative of a posture of the person in the image frame; deriving, based on a subset of the body key points in each image frame, at least one characteristic parameter indicating a progression of a movement of the person; detecting a start loop condition by evaluating the time progression of the at least one characteristic parameter, said start loop condition indicating a transition from a start posture of the person to the movement of the person when performing the physical exercise, wherein a loop of exercising encompasses one single repetition of the physical exercise; detecting an end loop condition by evaluating the time progression of at least one of the characteristic parameters, said end loop condition indicating a transition from the movement of the person when performing the physical exercise to an intermediate posture, wherein, as a result, the start of the loop and the end of the loop are determined; and deriving the time period for a single loop of the physical exercise based on the start of the loop and the end of the loop and evaluating the time period.

A method for monitoring a person performing a physical exercise based on a sequence of image frames showing an exercise activity of the person. The method includes extracting, based on the sequence of image frames, for each image frame a set of body key points using a neural network, the set of body key points being indicative of a posture of the person in the image frame; deriving, based on a subset of the body key points in each image frame, at least one characteristic parameter indicating a progression of a movement of the person; detecting a start loop condition by evaluating the time progression of the at least one characteristic parameter, said start loop condition indicating a transition from a start posture of the person to the movement of the person when performing the physical exercise, wherein a loop of exercising encompasses one single repetition of the physical exercise; detecting an end loop condition by evaluating the time progression of at least one of the characteristic parameters, said end loop condition indicating a transition from the movement of the person when performing the physical exercise to an intermediate posture, wherein, as a result, the start of the loop and the end of the loop are determined; and deriving the time period for a single loop of the physical exercise based on the start of the loop and the end of the loop and evaluating the time period.

Accordingly, embodiments herein disclose a method for providing real-time virtual feedback using an electronic device. The method includes receiving, by the electronic device, motion data of each segment in a multi-segment body part of a first user. Further, the method includes determining, by the electronic device, a posture information of each of the segment in the multi-segment body part based on the motion data of each of the segment in the multi-segment body part of the first user. Further, the method includes determining, by the electronic device, a degree of similarity between the posture information of each of the segment in the multi-segment body part of the first user and a posture information of each segment in a multi-segment body part of a second user. Further, the method includes providing, by the electronic device, a virtual feedback to the first user based on the degree of similarity.

An intelligent ball passing system is provided, including: a ball passing robot configured for carrying out a ball passing action according to human body postures, including: a video capture device configured for acquiring human body posture data, a movement mechanism configured for driving the ball passing robot to move according to a ball passing instruction, and a central processing module connected to the movement mechanism and the video capture device respectively; and a software system configured for controlling the ball passing robot to carry out the ball passing action, the central processing module recognizing and classifying the human body postures by using the software system that uses a BP neural network.

A program is presented to a user including a stream of content including a first auditory content and a first visual content related to the workout. A context state of the user participating in the workout is determined based on information from a sensor. A responsive content is selectively added based on the context state of the user to the stream of content in a manner that avoids conflict with the stream of content.

A system for providing a personalised exercise guide according to various embodiments of the present invention may comprise: a wearable device for measuring a first bio-signal of a user using one or more sensors, and for transmitting to an electronic device and measured first bio-signal of the user; and the electronic device for receiving from the wearable device the measured first bio-signal of the user, for obtaining body data of the user based on the received first bio-signal of the user, for calculating a required quantity of exercise based on the obtained body data of the user and a preset goal, and for comparing and analyzing body data variation of the user that is estimated based on the calculated required quantity of exercise with the actual body data variation of the user due to exercise.

Implementations generally relate to determining golf swing characteristics. In some implementations, a method includes obtaining a video of a person performing an action. The method further includes determining from the video a plurality of points associated with the person, where the determining of the plurality of points is performed for each frame of the video. The method further includes determining a plurality of three-dimensional (3D) coordinates for each point of the plurality of points, where the determining of the 3D coordinates is performed for each frame of the video. The method further includes determining a movement of the plurality of points based at least in part on the 3D coordinates. The method further includes determining one or more movement errors based at least in part on the movement of the plurality of points.

Systems and methods are provided for provided for recognizing movements of a moving body and presenting multimedia content according to the movements to provide instructional learning. As an example of the systems and methods, movement recognition is provided that generates a body object stream from raw data of movements, recognizes techniques for the movements based on the body object stream, and assesses a performance of the techniques. A coaching intelligence is provided that fetches and communicates multimedia content descriptive of the techniques according to the performance and based on one or more configuration files defining coaching strategies and a mapping of multimedia content. The systems and methods provided herein can be leveraged for recognition of human movements in a fitness environment for provisioning of multimedia content consumable for instructional learning of techniques performed as part of a fitness or exercise routine.