The present disclosure provides a fitness guidance method, a device and a storage medium. The method includes: collecting a face image of a user in real time in response to detecting a sport event of the user; performing recognition on the face image; determining a current sport state of the user based on a face recognition result; and providing a prompt for advising the user based on the current sport state.

An indication is received from a user to rack or unrack a digital weight. A motor is signaled to apply or remove tension to a cable couple to the motor based at least in part on the indication. The actuator is connected to the cable and is physically arranged to deliver a force to the user. The motor selectively tensions a cable in accordance with an exercise program.

A method of encouraging exercise collects motion data of a user of a type of exercise machine. It is determined whether the user is in a good state according to the motion data. If the user is deemed in a good state, the motion data are sent to a cloud server. Ranking information of multiple users on same type of exercise machine are received from the cloud server. The ranking information is displayed on a touch screen of the exercise machine. The method realizes interaction of the user on a virtual reality basis, and improves exercise motivation of the user.

The present disclosure presents improved treadmill control systems and methods. One such method comprises initiating a recording a video sequence of a walking exercise by a subject on a treadmill device; extracting intra-gait phases of the subject from the recorded video sequence using a video temporal alignment with a neural network; generating a series of treadmill belt control settings for the treadmill device corresponding to each phase of the gait pattern of the subject; and signaling the series of treadmill belt control settings to a motor controller of the treadmill device. Other methods and systems are also provided.

In various embodiments, a treadmill system may include one or more custom treadmill hardware devices and one or more accompanying pieces of software which may be configured to work in tandem to simulate one or more virtual terrains within a game on a physical treadmill. In particular embodiments, the system is configured to enable a user to control a direction of a virtual avatar as the avatar traverses the virtual terrain (e.g., while the user is using the treadmill). The system may then be configured to manipulate the treadmill (i.e., incline of the treadmill, speed of the treadmill, etc.) based on the terrain that the avatar is currently traversing. The system may utilize one or more imaging devices to identify particular gestures performed by the user. In this way, the system may be configured provide hands free control to the user while the user is using the treadmill.

A system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan and a patient interface associated with the treatment device. The system also includes a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; write to an associated memory, for access at a computing device of a healthcare provider, treatment information; communicate with an interface, at the computing device of the healthcare provider; and modify at least one of the at least one aspect and any other aspect of the treatment plan in response to receiving treatment plan input including at least one modification to the at least one of the at least one aspect and any other aspect of the treatment plan.

Methods and systems are disclosed for pose comparison, interactive physical gaming, and remote fitness training on a user computing device. The methods and systems are configured to first receive a reference feature generated from a frame of a reference video, the reference feature computed from a reference posture of a reference person in the frame of the reference video. Next, receive a frame of a user video, the frame of the user video comprising a user. Next, extract a user posture from the frame of the user video, by performing a machine learning-based computer vision algorithm that detects one or more body key points of the user in an image plane of the user video. Finally, generate a user feature from the user posture; and determine an output score based on a distance between the reference feature and the user feature.

A telehealth training system is provided which employs a three-dimensional camera programmed for capturing image data associated with an exercise program performed by a user. A computer-implemented body pose analysis and scoring module analyzes and scores body poses of the user while the user performs the exercise program. The analysis and scoring module may calculate scores in response to reference data related to at least one exercise prescribed for the user, and then compare processing results to the reference data. A feedback module may be included in the system which is programmed for creating and animating an avatar in response to the processing results of the analysis and scoring module. In certain aspects, the analysis and scoring module may be programmed for using a voxel basis function (VBF) technique in connection with performing pose matching analysis in association with the user performing the exercise program.

Systems and methods for detecting gestures of a swimmer in an aquatic environment such as a flume pool. In one embodiment, a pool system includes a set of cameras, one of which is overhead camera positioned above the water in the pool to capture images of a swimmer. The system also includes computer processors, such as a GPU, CPU, and game engine which implement a computer vision platform. The processors are configured to receive images from the cameras, determine the swimmer's body position from the images, detect a defined gesture in the swimmer's body position, and in response to detecting the defined gesture, invoking a corresponding control operation of the flume pool, such as controlling water flow through the pool or updating an interface display which is projected onto the interior surfaces of the pool.

Systems and methods for providing a distortion-free pool-surface display beneath a swimmer. In one embodiment, projectors are positioned below a water level at opposite walls of a pool, and are configured to project images to a display surface at the bottom of the pool beneath a swimmer. A camera is used to view images projected by the projectors and to provide corresponding image data to an image correction platform on a graphics processing unit (GPU). The image correction platform identifies distortions in the images, generates image corrections that counter the identified distortions, and applies the corrections to subsequently projected images. The image correction platform also generates image adjustment that cause overlapping portions of the projected images to match seamlessly. The projected images may provide immersive experiences, coaching/training interfaces or other interactive displays.