Patent classifications
A63B2071/0683
Tennis playing robotic device
Provided is a system for robotic collaboration. A first robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by a processor of the first robotic device effectuates first operations including: receiving first information from a processor of a second robotic device; actuating the first robotic device to execute a first action based on the first information; and transmitting second information to the processor of the second robotic device. The second robotic device includes a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor of the second robotic device effectuates second operations including: receiving the second information transmitted from the processor of the first robotic device; actuating the second robotic device to execute a second action based on the second information; and transmitting third information to the processor of the first robotic device.
SYNCHRONIZING VIDEO WORKOUT PROGRAMS ACROSS MULTIPLE DEVICES
In one aspect of the disclosure, a method that involves keeping state of a video workout program may include communicatively coupling a server in a cloud network to an exercise machine through a first network connection, communicatively coupling the server to a network device through a second network connection, the server providing a video workout program to the exercise machine for execution at the exercise machine to enable a user to perform at least a portion of a workout of the video workout program on the exercise machine, the server keeping state of the video workout program during execution of the video workout program based on inputs from the exercise machine and the network device, and taking an action based on the state. The action may include synchronizing multiple displays, adaptively scaling the video workout program, and/or generating and providing an exercise machine control command to the exercise machine.
MOTORIZED TREADMILL WITH MOTOR BRAKING MECHANISM AND METHODS OF OPERATING SAME
A treadmill includes a running belt defining a non-planar running surface, and a motor operatively coupled to the running belt. The treadmill is operable in plurality of operating modes to control a user experience.
Strength training and exercise platform
An exercise device includes a base defining an inner volume and a top supported by the base, the top defining an aperture. The exercise device further includes a force sensor configured to measure force on the top and a motor disposed within the base and below the top, the motor including a cable extendable through the aperture. The exercise deice further includes a controller communicatively coupled to each of the force sensor and the motor. The controller is adapted to actuate the motor in response to forces applied to the top as measured by the force sensor. The controller may also actuate the motor in response to one or more additional parameters related to the speed or force with which the cable is manipulated (e.g., pulled by a user).
Exercise machine with levitated platform
An improved exercise machine has a stationary longitudinal monorail structure that extends between front and back end stationary exercise platforms, and an exercise platform mounted on a levitated carriage that is reciprocally movable along the monorail between the stationary platforms. Magnetic elements arranged on various opposing surfaces of the carriage and monorail generate magnetic forces that levitate and stabilize the carriage as it moves relative to the monorail thus substantially eliminating contact friction. Springs selectively attachable to the movable platform provide a resistance force for exercising. Pseudo-levitation and eddy brake elements on the carriage and monorail structure further stabilize the carriage and platform.
Video rebroadcasting with multiplexed communications and display via smart mirrors
During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.
METHOD AND SYSTEM FOR USING ARTIFICIAL INTELLIGENCE TO INDEPENDENTLY ADJUST RESISTANCE OF PEDALS BASED ON LEG STRENGTH
A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.
CAMERA EQUIPPED CYCLE AND COORDINATED PUNCH EXERCISE DEVICE AND METHODS
A punch-and-cycle exercise device is described. The device includes a cycling mechanism, a frame to which a punch-pad is attached, a plurality of delineated target zones arranged on the punch pad, a sensor unit that may include an impact sensor, an accelerometer, and a single or plurality of hall effect sensors, each communicatively connected to the target zones. A control unit communicatively connects with the sensors, a punch-pad mounted camera, and a display. Gloves with built in magnets and/or unique markings/visual identifiers interact with the sensors and/or camera and provide data to the controller to track user success at responding with correct puncing form to illuminated and sequenced punching programs while cycling. Output can be displayed locally or on any paired device.
Seated treadmill and method of use
A seated treadmill has a structure with a front portion and a rear portion. A front roller is rotatably mounted on the front portion of the structure, a rear roller is rotatably mounted on the rear portion of the structure, and a belt circumscribes the front and rear rollers. The front and rear rollers are much closer together than prior art treadmills, typically about 10-30 inches. The treadmill may further include a remote control for controlling operation of the treadmill, and a shutoff switch in the event that too much force is placed upon the treadmill, such as if the user attempts to stand on the treadmill.
SYSTEM AND METHOD FOR USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING AND GENERIC RISK FACTORS TO IMPROVE CARDIOVASCULAR HEALTH SUCH THAT THE NEED FOR ADDITIONAL CARDIAC INTERVENTIONS IS MITIGATED
A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.