Patent classifications
A63B2024/0015
ONLINE, REAL-TIME, SYNCHRONIZED TRAINING SYSTEM FOR MULTIPLE PARTICIPANTS
A training system operates to provide an online training system that includes an instructional portion, a performance portion and a results report. A trainer can create training modules and/or training programs and then launch a training program in which one or more users, utilizing a user system, can participate. A training program consists of one or more training modules. Each training module is configured to first run in a demonstration mode, in which the operator streams a demonstration of the physical activity required by the training module to one or more user systems. Users can thus view the demonstration of the physical activity on the user systems. The training module then enters a trial or trial mode in which each of the participants then engage in performing the physical activity. The user systems present a video/graphical display to show various performance criteria of the training module. The user systems also include a camera that is configured to monitor the activity of the user weighed against the performance criteria. Once the trial mode is completed, the data gathered by the user system cameras is then analyzed and evaluated and presented back to the participants.
SYSTEMS, METHODS, AND DEVICES FOR PROVIDING AN INTERACTIVE INTELLIGENT SPORTS SYSTEM
An approach for providing real-time feedback during a sports activity (e.g., golf play) based, at least in part, on analysis of sensor information, is disclosed. The approach involves receiving sensor data associated with one or more sensors arranged to track playing technique information of a player engaged in a sports activity. The approach also involves processing the sensor data in real-time to determine the playing technique information. The approach further involves retrieving baseline information for the player. The approach also involves comparing the playing technique information with the baseline information. The approach further involves generating, in real-time with the engagement of the sports activity, an instructional message to modify playing technique of the player based on the comparison. The approach also involves initiating presentation, during the sports activity, of the instructional message to a user interface of a device accessible by the player.
Interactive exercise machine with social engagement support
A social engagement system includes a first exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. The system also includes a communication module for connection to a cloud processing system, with the cloud processing system supporting connection to a second exercise machine having a display able to present videos, a three-dimensional camera system, and local processing system able to provide pose estimation based on data from the three-dimensional camera system. Additionally, the connection allows transfer of data useful for social engagement.
Determining a kinematic sequence
Implementations generally relate to determining a kinematic sequence. 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 converting two-dimensional (2D) coordinates of the plurality of points to three-dimensional (3D) coordinates, where the converting 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.
SYSTEMS AND METHODS FOR REAL-TIME DATA QUANTIFICATION, ACQUISITION, ANALYSIS, AND FEEDBACK
This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data. The real-time representation may include a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.
Robotically assisted ankle rehabilitation systems, apparatuses, and methods thereof
Systems, apparatuses, and methods for performing robotically assisted physical therapy. The system, apparatus, and method can include a motion platform having three-degrees of freedom to achieve pitch motion, yaw motion, and roll motion; a plurality of motors connected to the motion platform to enable the pitch motion, the yaw motion, and/or the roll motion; at least one sensor configured to collect data relating to position and/or motion of the motion platform; and a motion controller configured to control the motion platform based on the collected data and/or external commands.
Method and system of planning fitness courses
A system for planning a fitness exercise course includes a corresponding module establishing a corresponding relationship between a training target and each of a plurality of fitness exercise items, wherein the training target includes a specific muscle, a muscle group and a whole body muscle; a sensing module sensing a physiological state of a body builder; and a determining module, according to the corresponding relationship, in response to the physiological state, selecting one of the plurality of fitness exercise items and a combination of fitness exercise items to complete the training target.
WEARABLE DEVICE SYSTEMS AND METHODS FOR GUIDING PHYSICAL MOVEMENTS
A system includes wearable devices positioned on a subject in different locations. Each wearable device includes motion sensors that measure the subject's movement in three dimensions. The motion sensors generate raw sensory data as the subject performs a physical movement. A data filter is selected based on a condition of the subject and a designated movement corresponding to the physical movement, and used to convert the raw sensory data into formatted data. A level of compliance of the physical movement with a movement model for the designated movement is determined by applying comparative modeling techniques to the formatted data and the movement model. Real-time feedback is delivered dynamically to the subject by the wearable devices during the performance of the physical movement based on the level of compliance. The movement model can be generated, and the comparative modeling techniques can be selected, based on the condition of the subject.
PHYSICAL MOTION FEEDBACK APPARATUS, PHYSICAL MOTION FEEDBACK METHOD, AND PROGRAM
A technique for feeding back an image obtained by modulating a motion of a subject in real time is provided. A physical exertion feedback device includes: a modulation unit configured to generate, as a modulated image, an image reflecting modulated motion time-series data, the modulated motion time-series data being obtained by modulating data within a partial time period of input motion time-series data representing a motion of a subject, using reference motion time-series data representing a motion of a teacher, the modulated motion time-series data representing a motion for correcting the motion of the subject; and a presentation unit configured to present the modulated image to the subject, wherein the modulated motion time-series data is, at respective time points from a time point at which the subject starts the motion to a predetermined time point which is hereinafter referred to as a modulation start time point, motion time-series data that matches the input motion time-series data, and is, at respective time points after the modulation start time point, motion time-series data obtained by modulating the input motion time-series data using a predetermined modulation method.
Force feedback arm for an interactive exercise machine
An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. A force-controlled motor is attached to the mechanical support system and a reel is driven by the force-controlled motor. The interactive exercise system also has a handle graspable by a user and includes a cord extending between the reel and the handle. Force applied through the force-controlled motor is based at least in part on detected user force input.