Patent classifications
A63B2071/0647
ADJUSTMENT OF EXERCISE BASED ON ARTIFICIAL INTELLIGENCE, EXERCISE PLAN, AND USER FEEDBACK
A method for generating an exercise session for a user using an exercise machine is disclosed herein. The method includes receiving a plurality of inputs, wherein the plurality of inputs comprise an indication of a level of pain of the user and a range of motion of a body part of the user. The method also includes determining, based on the plurality of inputs, an exercise level of the user, generating, using a machine learning model, the exercise session for the user by selecting, based on the exercise level of the user, one or more exercises to be performed by the user using an exercise machine, and causing initiation of the exercise session on the exercise machine and a virtual coach executed by a computing device associated with the exercise machine to provide instructions pertaining to the exercise session.
SYSTEM AND METHOD FOR AN ARTIFICIAL INTELLIGENCE ENGINE THAT USES A MULTI-DISCIPLINARY DATA SOURCE TO DETERMINE COMORBIDITY INFORMATION PERTAINING TO USERS AND TO GENERATE EXERCISE PLANS FOR DESIRED USER GOALS
A method is disclosed for generating an improved exercise plan for a user to perform using at least an exercise machine. The method includes receiving data pertaining to the user. The data includes a physical activity goal the user desires to achieve and the physical activity goal includes levels of attainment to achieve. The method includes generating, by an artificial intelligence engine, the improved exercise plan. The improved exercise plan includes a set of exercises to be performed by the user to achieve the levels of attainment associated with the physical activity goal. The artificial intelligence engine uses at least one data source configured to include information pertaining to one or more exercises and at least one of the levels of attainment associated with the physical activity goal. The method includes transmitting the improved exercise plan to a computing device.
DIGITAL ANATOMICAL VIRTUAL EXTREMITIES FOR PRE-TRAINING PHYSICAL MOVEMENT
Aspects of the disclosure include methods and systems for pre-action training. In an aspect, a method is presented for constructing a user-controllable image comprising obtaining anatomical and physiological data associated with a body, storing the anatomical and physiological data in a database; and creating the user-controllable image based on the stored anatomical and physiological data. The user-controllable image may be configurable to a user. At least a moveable portion of the user-controllable image may be constructed to move based on input from a user. The user-controllable image may be constructed to enable pre-action training of the user. As such, victims of traumatic brain injury or other neurological setbacks may pre-train their nervous system for use of one or more injured body parts. Additionally, the methods and systems described provide pre-action training control of non-virtual prostheses, exoskeleton body parts, powered orthotic devices, robots or other motile or audiovisual output devices.
SYSTEM AND METHOD FOR A SPORTS-COACHING PLATFORM
A system and method is disclosed for a surround-perspective motion annotation comprising: an image/video input for capturing and/or parsing into at least one image frame of a subject performing at least one motion from each of at least three perspectives; a vector generating module for generating a test vector or wire mesh corresponding to a pose of the subject in each of the captured/parsed frame from each of the perspectives; and an annotation module for inputting a drawing imposed on the test vector/mesh for a visual contrast against any one of a feature from the test vector/mesh from any one of the perspectives. Further disclosed embodiments include for a system and method for generating multi-perspective, color-coded deviations of a subject from a reference (color wheel). Further embodiments include for a system and method for generating an optimal motion signature (OMS) for the subject based on his or her generated color wheel.
SYSTEM AND METHOD FOR TARGETED NEUROLOGICAL THERAPY USING BRAINWAVE ENTRAINMENT WITH PASSIVE TREATMENT
A system and method for targeted neurological treatment using brainwave entrainment therapy with passive treatment that allows for targeted treatment of particular areas of the brain, particular neurological functions, particular neurological states, and combinations of areas, functions, and states. The system and method receive gait parameters for an individual and compare those against a database of historical gait data to determine if an onset neurodegenerative condition is present, and applies a brainwave entrainment therapy responsive to the determination of the condition. The system and method receive a neurological assessment identifying areas of the brain or neurological functions to be treated, select one or more treatment modalities and frequencies, select a treatment regimen, and apply brainwave entrainment using a treatment regimen while the subject engages in dual-task activities selected to stimulate the areas of the brain, neurological functions, or neurological states to be treated, enhanced, or altered.
Interactive exercise machine data architecture
An interactive exercise system includes an 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 exercise related analytics including those based on pose estimation provided by the local processing system.
MOBILE GOLF SIMULATION SYSTEM
Herein disclosed is a mobile golf simulation system, more particularly, a double-bayed golf simulator apparatus mounted to a wheeled trailer that may be readily transported and deployed to remote, particularly outdoor locations. The mobile golf simulation system of the present invention is uniquely designed to include a projection system installed beneath a floating floor that, along with right and left drop-down walls, allows for the creation of an open air platform from which a user may play a realistic form of virtual golf, hitting his ball into a built-in screen.
Exercise Treadmill
An exercise treadmill is disclosed. The treadmill can include one or more sensors to acquire input data. A computer system can trigger one or more actions based on the input data. The input data can correspond to a lengthwise position of the user along a length of a usable surface of the platform and/or a lateral position of the user on the belt. The action(s) can include providing feedback to the user and/or adjusting rotation of the belt and/or a resistance of rotation of the belt. The adjustment can be performed in response to input from a user control requesting the adjustment.
Apparatus and method for increased realism of training on exercise machines
An exercise machine includes a cyclical actuator and a mechanical energy storage device. Connective structure operatively connects the cyclical actuator to the mechanical energy storage device. Motion of the cyclical actuator urges physical motion of and energy storage in the mechanical energy storage device. The exercise machine further includes an electric machine. A communication pathway enables exchange of data between multiple associated exercise machines such that multiple associated operators on multiple associated exercise machines have a common experience.
BENDABLE SENSOR DEVICE FOR MONITORING JOINT EXTENSION AND FLEXION
A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.