WO2023229601A1 - Identificateur de résistance de machine d'exercice - Google Patents

Identificateur de résistance de machine d'exercice Download PDF

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Publication number
WO2023229601A1
WO2023229601A1 PCT/US2022/031184 US2022031184W WO2023229601A1 WO 2023229601 A1 WO2023229601 A1 WO 2023229601A1 US 2022031184 W US2022031184 W US 2022031184W WO 2023229601 A1 WO2023229601 A1 WO 2023229601A1
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WO
WIPO (PCT)
Prior art keywords
exercise machine
user
resistance
identifier
accessory
Prior art date
Application number
PCT/US2022/031184
Other languages
English (en)
Inventor
Gabriel Peal
Asim KADAV
Original Assignee
Tonal Systems, Inc.
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Publication date
Application filed by Tonal Systems, Inc. filed Critical Tonal Systems, Inc.
Priority to PCT/US2022/031184 priority Critical patent/WO2023229601A1/fr
Publication of WO2023229601A1 publication Critical patent/WO2023229601A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
    • A63B21/06—User-manipulated weights
    • A63B21/072—Dumb-bells, bar-bells or the like, e.g. weight discs having an integral peripheral handle
    • A63B21/0724—Bar-bells; Hand bars
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
    • A63B21/005—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters
    • A63B21/0056—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using electromagnetic or electric force-resisters using electromagnetically-controlled friction, e.g. magnetic particle brakes
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
    • A63B21/008—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using hydraulic or pneumatic force-resisters
    • A63B21/0083—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices using hydraulic or pneumatic force-resisters of the piston-cylinder type
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
    • A63B21/06—User-manipulated weights
    • A63B21/062—User-manipulated weights including guide for vertical or non-vertical weights or array of weights to move against gravity forces
    • A63B21/0626—User-manipulated weights including guide for vertical or non-vertical weights or array of weights to move against gravity forces with substantially vertical guiding means
    • A63B21/0628—User-manipulated weights including guide for vertical or non-vertical weights or array of weights to move against gravity forces with substantially vertical guiding means for vertical array of weights
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B21/00—Exercising apparatus for developing or strengthening the muscles or joints of the body by working against a counterforce, with or without measuring devices
    • A63B21/22—Resisting devices with rotary bodies
    • A63B21/225—Resisting devices with rotary bodies with flywheels
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
    • A63B2024/0093—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
    • A63B2071/0655—Tactile feedback
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B2071/0675—Input for modifying training controls during workout
    • A63B2071/0683—Input by handheld remote control
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A63B71/0686—Timers, rhythm indicators or pacing apparatus using electric or electronic means
    • A63B2071/0688—Timers, rhythm indicators or pacing apparatus using electric or electronic means using non-electronic means, e.g. mechanical, visual, acoustic or tactile means
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/10—Positions
    • A63B2220/13—Relative positions
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/30—Speed
    • A63B2220/34—Angular speed
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/40—Acceleration
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/50—Force related parameters
    • A63B2220/51—Force
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/803—Motion sensors
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/806—Video cameras
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/807—Photo cameras
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2225/00—Miscellaneous features of sport apparatus, devices or equipment
    • A63B2225/15—Miscellaneous features of sport apparatus, devices or equipment with identification means that can be read by electronic means
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/003—Repetitive work cycles; Sequence of movements
    • G09B19/0038—Sports

Definitions

  • Personal strength training and/or aerobic exercise training using an exercise machine is convenient but usually done alone and/or at home, without the assistance of training staff.
  • Such staff may provide feedback and accounting on training, such as: form feedback, guidance on tempo and cadence, repetition (rep) counting, strength evaluation, aerobic exercise evaluation, performance evaluation, and/or historical data/statistics. It would be an improvement to provide feedback and accounting for an exercise machine without the assistance of staff.
  • Figure 1 is a block diagram illustrating an example of a smart exercise machine.
  • Figure 2 is a block diagram illustrating an embodiment of an exercise machine accessory.
  • Figures 3A, 3B, and 3C are illustrations of an exercise machine accessory for free-weights.
  • Figures 4A, 4B, and 4C are illustrations of an exercise machine accessory for cable-based exercise machines.
  • Figures 5A, 5B, and 5C are illustrations of an exercise machine accessory for treadmill type exercise machines.
  • Figures 6A, 6B, 6C, and 6D are illustrations of an exercise machine accessory for rowing type exercise machines.
  • Figures 7A, 7B, 7C, and 7D are illustrations of an exercise machine accessory for cycle type exercise machines.
  • Figures 8A, 8B, and 8C are illustrations of an exercise machine accessory for elliptical type exercise machines.
  • Figures 9A, 9B, and 9C are illustrations of an exercise machine accessory for stair climber type exercise machines.
  • the invention can be implemented in numerous ways, including as a process; an apparatus; a system; a composition of matter; a computer program product embodied on a computer readable storage medium; and/or a processor, such as a processor configured to execute instructions stored on and/or provided by a memory coupled to the processor.
  • these implementations, or any other form that the invention may take, may be referred to as techniques.
  • the order of the steps of disclosed processes may be altered within the scope of the invention.
  • a component such as a processor or a memory described as being configured to perform a task may be implemented as a general component that is temporarily configured to perform the task at a given time or a specific component that is manufactured to perform the task.
  • the term ‘processor’ refers to one or more devices, circuits, and/or processing cores configured to process data, such as computer program instructions.
  • an exercise machine resistance identifier is disclosed. As a user of an exercise machine may have access to one or more traditional exercise machines, an exercise machine resistance identifier may be part of an accessory, for example, an aftermarket accessory that allows a user to receive feedback and/or accounting on workouts when using the exercise machine.
  • ‘resistance’ is any force opposing motion and/or flow of a user, for example: a weight of a dumbbell; a weight of a barbell; a weight stack of a cable-based strength training machine; an incline of a treadmill; a belt speed of a treadmill; a damper of a rowing machine; a damper of a stationary bicycle machine; a damper of an elliptical training machine; and/or a damper of a stair climbing machine.
  • the exercise machine accessory has a motion identifier to enhance feedback and/or accounting.
  • Said motion identifier assesses a user’s motion at least in part to determine at least a portion of a user’s: strength, endurance, aerobic exercise, form, cadence, pace, reps, and/or tempo. That is, strength training exercises may be divided into sets. Each set includes one or more repetitions or ‘reps.’ A user typically performs one or more sets of a given exercise movement.
  • the exercise machine accessory may enhance feedback to the user by way of coaching, collaborative encouragement such as a group workout over a network, competitive encouragement such as a group competition over a network, and/or storing motion for statistical / historical analysis.
  • FIG. 1 is a block diagram illustrating an example of a smart exercise machine. This exercise machine includes the following:
  • controller circuit which may include a processor, inverter, pulse-width- modulator, and/or a Variable Frequency Drive (VFD);
  • a motor for example, a three-phase brushless DC driven by the controller circuit
  • a spool with a cable (108) wrapped around the spool and coupled to the spool. On the other end of the cable an actuator/handle (110) is coupled in order for a user to grip and pull on.
  • the spool is coupled to the motor (106) either directly or via a shaft/belt/chain/gear mechanism.
  • a spool may be also referred to as a “hub”; a filter (102), to digitally control the controller circuit (104) based on receiving information from the cable (108) and/or actuator (110); • optionally (not shown in Figure 1) a gearbox between the motor and spool. Gearboxes multiply torque and/or friction, divide speed, and/or split power to multiple spools.
  • a cable-pulley system may be used in place of a gearbox, and/or a dual motor may be used in place of a gearbox;
  • a position encoder a sensor to measure position of the actuator (110).
  • position encoders include a hall effect shaft encoder, grey-code encoder on the motor/spool/cable (108), an accelerometer in the actuator/handle (110), optical sensors, position measurement sensors/methods built directly into the motor (106), and/or optical encoders.
  • an optical encoder is used with an encoding pattern that uses phase to determine direction associated with the low resolution encoder.
  • back-EMF back electromagnetic force
  • a tension sensor is built into the cable (108).
  • a strain gauge is built into the motor mount holding the motor (106). As the user pulls on the actuator (110), this translates into strain on the motor mount which is measured using a strain gauge in a Wheatstone bridge configuration.
  • the cable (108) is guided through a pulley coupled to a load cell.
  • a belt coupling the motor (106) and cable spool or gearbox (108) is guided through a pulley coupled to a load cell.
  • the resistance generated by the motor (106) is characterized based on the voltage, current, or frequency input to the motor.
  • a three-phase brushless DC motor (106) is used with the following: a controller circuit (104) combined with filter (102) comprising: o a processor that runs software instructions; o three pulse width modulators (PWMs), each with two channels, modulated at 20 kHz; o six transistors in an H-Bridge configuration coupled to the three PWMs; o optionally, two or three ADCs (Analog to Digital Converters) monitoring current on the H-Bridge; and/or o optionally, two or three ADCs monitoring back-EMF voltage;
  • PWMs pulse width modulators
  • ADCs Analog to Digital Converters
  • the three-phase brushless DC motor (106) which may include a synchronous-type and/or asynchronous-type permanent magnet motor, such that: o the motor (106) may be in an “out-runner configuration” as described below; o the motor (106) may have a maximum torque output of at least 60 Nm and a maximum speed of at least 300 RPMs; o optionally, with an encoder or other method to measure motor position;
  • the motor (106) is directly coupled to a cable (108) spool.
  • the motor (106) is coupled to a cable spool via a shaft, gearbox, belt, and/or chain, allowing the diameter of the motor (106) and the diameter of the spool to be independent, as well as introducing a stage to add a set-up or step-down ratio if desired.
  • the motor (106) is coupled to two spools with an apparatus in between to split or share the power between those two spools.
  • Such an apparatus could include a differential gearbox, or a pulley configuration; and/or
  • an actuator (110) such as a handle, a bar, a strap, or other accessory connected directly, indirectly, or via a connector such as a carabiner to the cable (108).
  • the controller circuit (102, 1004) is programmed to drive the motor in a direction such that it draws the cable (108) towards the motor (106).
  • the user pulls on the actuator (110) coupled to cable (108) against the direction of pull of the motor (106).
  • One purpose of this setup is to provide an experience to a user similar to using a traditional cable-based strength training machine, where the cable is attached to a weight stack being acted on by gravity. Rather than the user resisting the pull of gravity, they are instead resisting the pull of the motor (106).
  • a weight stack may be moving in two directions: away from the ground or towards the ground. When a user pulls with sufficient tension, the weight stack rises, and as that user reduces tension, gravity overpowers the user and the weight stack returns to the ground.
  • weight stack By contrast in a digital strength trainer, there is no actual weight stack.
  • the notion of the weight stack is one modeled by the system.
  • the physical embodiment is an actuator (110) coupled to a cable (108) coupled to a motor (106).
  • a “weight moving” is instead translated into a motor rotating.
  • the linear motion of the cable may be calculated to provide an equivalency to the linear motion of a weight stack.
  • Each rotation of the spool equals a linear motion of one circumference or 2rtr for radius r.
  • torque of the motor (106) may be converted into linear force by multiplying it by radius r.
  • motor (106) rotates in one direction. If the “weight stack” is moving towards the ground, motor (106) rotates in the opposite direction. Note that the motor (106) is pulling towards the cable (108) onto the spool. If the cable (108) is unspooling, it is because a user has overpowered the motor (106). Thus, note a distinction between the direction the motor (106) is pulling, and the direction the motor (106) is actually turning.
  • controller circuit (102, 1004) is set to drive the motor (106) with, for example, a constant torque in the direction that spools the cable, corresponding to the same direction as a weight stack being pulled towards the ground, then this translates to a specific force/tension on the cable (108) and actuator (110).
  • this force “Target Tension,” this force may be calculated as a fimction of torque multiplied by the radius of the spool that the cable (108) is wrapped around, accounting for any additional stages such as gear boxes or belts that may affect the relationship between cable tension and torque.
  • BLDC Motor While many motors exist that run in thousands of revolutions per second, an application such as fitness equipment designed for strength training has different requirements and is by comparison a low speed, high torque type application suitable for a BLDC motor.
  • a requirement of such a motor (106) is that a cable (108) wrapped around a spool of a given diameter, directly coupled to a motor (106), behaves like a 200 lbs weight stack, with the user pulling the cable at a maximum linear speed of 62 inches per second.
  • a number of motor parameters may be calculated based on the diameter of the spool.
  • a motor with 67.79 Nm of force and a top speed of 395 RPM, coupled to a spool with a 3 inch diameter meets these requirements.
  • 395 RPM is slower than most motors available, and 68 Nm is more torque than most motors on the market as well.
  • Hub motors are three-phase permanent magnet BLDC direct drive motors in an “out-runner” configuration: throughout this specification out-runner means that the permanent magnets are placed outside the stator rather than inside, as opposed to many motors which have a permanent magnet rotor placed on the inside of the stator as they are designed more for speed than for torque. Out-runners have the magnets on the outside, allowing for a larger magnet and pole count and are designed for torque over speed. Another way to describe an out-runner configuration is when the shaft is fixed and the body of the motor rotates.
  • Hub motors also tend to be “pancake style.” As described herein, pancake motors are higher in diameter and lower in depth than most motors. Pancake style motors are advantageous for a wall mount, subfloor mount, and/or floor mount application where maintaining a low depth is desirable, such as a piece of fitness equipment to be mounted in a consumer’s home or in an exercise facility/area. As described herein, a pancake motor is a motor that has a diameter higher than twice its depth. As described herein, a pancake motor is between 15 and 60 centimeters in diameter, for example, 22 centimeters in diameter, with a depth between 6 and 15 centimeters, for example, a depth of 6.7 centimeters.
  • Motors may also be “direct drive,” meaning that the motor does not incorporate or require a gear box stage. Many motors are inherently high speed low torque but incorporate an internal gearbox to gear down the motor to a lower speed with higher torque and may be called gear motors. Direct drive motors may be explicitly called as such to indicate that they are not gear motors.
  • a motor with lOOx the speed and 100th the torque may also be used with a 100:1 gearbox.
  • a gearbox also multiplies the friction and/or motor inertia by lOOx, torque control schemes become challenging to design for fitness equipment / strength training applications. Friction may then dominate what a user experiences. In other applications friction may be present, but is low enough that it is compensated for, but when it becomes dominant, it is difficult to control for. For these reasons, direct control of motor speed and/or motor position as with BLDC motors is more appropriate for fitness equipment / strength training systems.
  • FIG 2 is a block diagram illustrating an embodiment of an exercise machine accessory.
  • An exercise machine including an actuator (202) such as a grip/handle may not be a ‘smart’ exercise machine as shown in Figure 1, but may still be improved to give a similar set of feedback and/or accounting that the smart exercise machine provides for a user (204).
  • Exercise machine accessory (220) comprises:
  • the resistance identifier (252) may identify, enumerate, calculate, analyze, and/or determine the resistance that user (204) is exerting against exercise machine (202). The resistance identifier (252) may then transmit this data to the communications module (254);
  • the communications module (254) may communicate data from the various coupled elements of the exercise machine accessory (220) to a processor and/or the user (204).
  • the communications module (254) is coupled directly with a processor and the communications happen along traces within an integrated circuit and/or a circuit board.
  • the communications module (254) is coupled to an app on a mobile device such as a phone or tablet;
  • motion identifier (256) may identify, enumerate, calculate, analyze, and/or determine the motion that user (204) is experiencing during exercise. The motion identifier (256) may then transmit this data to the communications module (254);
  • a haptic controller may receive data from the communications module (254) and may transmit haptic feedback to the user (204) during exercise.
  • a user (204) may use a barbell (202) as an exercise machine and if the bar is beginning to tilt, the accessory may detect the tilt as a dangerous condition for the user (204) and transmit a haptic buzz to a user’s haptic equipped gloves to alert the user (204) to the danger; and
  • a resistance controller (272) may receive data from the communications module (254) and may further control resistance for the user (204) on an exercise machine equipped with resistance adjustment.
  • a user (204) may use a stationary bicycle (202) as an exercise machine with a screw-type belt tensioner against a wheel, and an aftermarket motorized resistance adjustment may be added to the screw-type tensioner as part of the exercise machine accessory.
  • the accessory may then simulate a ‘hills’ workout by monitoring the user’s progress through a course and using the resistance controller (272) to control the motorized resistance adjustment to increase resistance on the uphill portion of the hills and decrease resistance on the downhill portion of the hills on the exercise machine (202).
  • Converting an exercise machine that is not a ‘smart exercise machine’ to be more smart with a resistance identifier and/or motion identifier provides improvement in at least one of the following aspects:
  • the system of Figure 2 may guide a user who is not performing a bicep curl properly and over extending their elbow;
  • the system of Figure 2 may help coach time spent on the eccentric phase, midpoint, concentric phase, and starting point; and/or rest time in between reps.
  • the system of Figure 2 may help compare a left arm dumbbell and a right arm dumbbell, for example, the distance from center and/or the twist in motion between left and right.
  • the system of Figure 2 may help compare a current workout to a past workout of the same type, and help coach by encouraging a user when underperforming historically and/or cheering a user when performing better than historically.
  • Figures 3A, 3B, and 3C are illustrations of an exercise machine accessory for free-weights.
  • the accessory of Figures 3A, 3B, and 3C is a more specific accessory of the type shown in Figure [0038]
  • the exercise machine accessory may attach to barbells (302), dumbbells, (304), and/or other free-weights, for example, kettle bells (306).
  • the resistance identifier (252) of Figure 2 for such free-weights may be a barbell clasp and/or clip (322), a marker for a barbell/dumbbell (324), and/or a set of free- weights (326).
  • the clip (322) includes a motion identifier (256) based at least in part on an IMU, gyroscope, accelerometer, and/or global positioning sensor, for example, one based on satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and/or QZSS satellites.
  • a motion identifier based at least in part on an IMU, gyroscope, accelerometer, and/or global positioning sensor, for example, one based on satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and/or QZSS satellites.
  • Another relevant example sensor technology is Bluetooth Low Energy (BLE), which may use Angle of Arrival (AoA) and Angle of Departure (AoD) to determine a position of an object in 3D space, and also to perform the indoor positioning and reckoning discussed later in the paragraph.
  • This type of motion identifier may be replicated to other variations.
  • the motion identifier (256) tracks motion so that a processor coupled with a clip communications module (254) may analyze the physical work accomplished by a user with the free-weight, and/or analyze a user’s form in exercising with the free-weight. For an indoor exercise experience and/or when extemal/satellite position is unavailable, a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier (252) is a clip (322) with a system to allow a user to select the current weight of the barbell (302) or other associated free-weight (304) / (306), for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “100 lb” when putting on barbell plates summing 80 lb for a 20 lb bar. This configurable clip is then registered to the weight until its removal.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • Thread 6L0WPAN, Bluetooth Mesh, Zigbee, Z-Wave, Wi-Fi HaLow, Bluetooth 5, Wirepas, NFC, RFID, Li-Fi, MiraOS, VEmesh, Wi-Fi, Wi-Fi Direct, Wi-Fi EasyMesh, DASH7, KNX, LonWorks, BACnet, NB-IOT, LTE-Advanced, LTE-M, 5G, LPWAN, LoRaWAN, Sigfox, Weightless, RPMA, and/or VSAT.
  • the communications module (254) communicates with a processor, such as a processor in a mobile device like a phone or tablet, to provide the ‘smart exercise machine’ features such as virtual coaching, human personal training via a videoconference, team collaboration, performance feedback, competitive leaderboard, congratulatory shout out, live class experience, suggested weight, peer performance/experience, peer feedback, form feedback, range of motion calculation, form graphical feedback, rep counting, tempo guidance, and/or historical data/statistics.
  • a processor such as a processor in a mobile device like a phone or tablet
  • a haptic controller as shown in Figure 2 may be associated with any device touching the user like gloves (352), for example, sheathed gloves.
  • the haptic controller / gloves provide a channel of feedback to a user performing the exercise, for example, to warn of safety hazards, coach performance, and/or permit gaming and entertainment.
  • a communications input for haptic gloves (352) herein denoted by a cartoon lightning bolt to the left of the device. This communications input uses communications module (254) and a network protocol.
  • sensor fusion is used to integrate computer vision and IMU data.
  • the sensor fusion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined.
  • Sensor fusion may, for example, be obtained by combining the sources of information using an expression evaluator. This may include establishing a shared time framework, for example, NTP (Network Time Protocol) and/or a derivative of NTP.
  • NTP Network Time Protocol
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fusion may be integrated with other data sources such as a trainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • Figures 4A, 4B, and 4C are illustrations of an exercise machine accessory for cable-based exercise machines.
  • the accessory of Figures 4A, 4B, and 4C is a more specific accessory of the type shown in Figure 2.
  • the exercise machine accessory may attach to a cablebased exercise machine (402), which typically includes a stack of weight plates (404) and a pin (406) to select one or more weight plates as resistance for the user.
  • a cablebased exercise machine typically includes a stack of weight plates (404) and a pin (406) to select one or more weight plates as resistance for the user.
  • the resistance identifier (252) of Figure 2 for such cable-based machines may be associated with the weight stack (404) such as a ‘smart’ pin (422), a device on the top of the weight stack (not shown), and/or a device between one or more weight plates of the weight stack (not shown) that make a ‘smart’ weight stack.
  • An alternate resistance identifier is a cable tension meter (426), for example, a non-intrusive design that allows measuring tension without cutting or altering the cable that positions the cable using pulleys against a perpendicular load cell (427).
  • this design is used with a clamshell case that allows a user to set up the cable against the pulleys and load cell (427) and then close the case to maintain its position without slippage.
  • the resistance identifier (252) may also include any device between the user and the exercise actuator such as gloves (424).
  • the ‘smart’ weight stack device (422) is assigned and/or measures the weight/resistance that the user is exerting against weight (404) as a resistance identifier (252). For example, a user may push a ‘smart’ pin (422) at 1001b to set up a 1001b bench press on the cable machine (402), which the system of Figure 2 may then identify 1001b as the identified resistance.
  • any device between the user and the exercise actuator/handles such as (not shown) a set of cylindrical pads wrapped around the
  • the resistance identifier device (422), (424) includes a motion identifier (256) based at least in part on an IMU, gyroscope, accelerometer, and/or global positioning sensor, for example, one based on satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and/or QZSS satellites.
  • the motion identifier (256) tracks motion so that a processor coupled with a communications module (254) may analyze the physical work accomplished by a user with the cable-based machine, and/or analyze a user’s form in exercising with the cable-based machine.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier (252) is a device (not shown) with a system to allow a user to select the current weight of the weight stack (404), for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “100 lb” when putting pin (406) in the weight stack (404). This configurable device is then registered to the weight until its removal.
  • a marker for a weight stack (404) is assigned and/or measures the weight associated with the weight stack as a resistance identifier (252).
  • a user may use a set of RFID/NFC attachments/adhesives that identifies each weight stack plate with a marker, for example, if the system detects that 5 weight stack plates are moving then it may infer that the resistance is 501b if each weight stack plate is configured to be 101b.
  • plates are of different weight and may be differentiated between, for example the system may detect 251b if it detects two 101b weight stack plates and a 51b weight stack plate are moving.
  • a user may use a set of RFID/NFC attachments/adhesives that identifies the cumulative weight being pinned in a weight stack, for example, if the system detects that the index of the largest indexed weight stack plate moving is 501b, it may infer that the resistance is 501b.
  • a colored and/or retroreflective marker is used in conjunction with an optical tracking system in an external device such as a mobile device to identify the resistance.
  • the NFC attachment may be a plastic or otherwise permeable collar at a position on the plate, such that the device (424) may then read the NFC plates in series through the plastic.
  • Low power broadcasting protocols such as RFID may be used to sum weight stack plates as well.
  • a drift correction system for correcting IMU drift is used in the motion identifier (256).
  • the drift correction system may use any traditional system used, for example, in the virtual reality (VR) / augmented reality (AR) / motion capture (MoCap) field.
  • the drift correction system may further leverage that a weight stack is eventually returned to resting at the end of a movement, a rep, and/or a set, which provides a known elevation basis/level, i.e., a known x-axis, y-axis, and/or z-axis.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • a haptic controller (262) as shown in Figure 2 may be
  • the exercise machine accessory (220) in Figure 2 including resistance identifier (252) and/or motion identifier (256) is computer vision-based, not requiring any additional hardware beyond a mobile device.
  • a mobile device and exercise machine accessory may share the processing of user motion data.
  • the computer vision system may perform resistance identification (252) using computer vision to determine resistance, for example, by observing and OCRing (optically character recognize) the weight stack index printed on a plate of a weight stack and/or observing the physical size of a moving weight stack and analyzing the weight.
  • This system may be enhanced with a user setup, for example, with a set of bar/QR code/color coded/retroreflective stickers that may be attached to each weight stack plate.
  • sensor fusion is used to integrate computer vision and IMU data.
  • the sensor fusion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fusion may be integrated with other data sources such as a trainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • FIGS 4A, 4B, and 4C are without limitation shown to be for cable-based machines, but any person having ordinary skill in the art recognizes that the same principles disclosed may be used with other gravity-based resistance machines such as fixed-track machines and/or body weight machines, and alternate resistance machines such as ones based on springs, flexing rods, flexing nylon rods, elastics, rubber bands, pneumatics, and hydraulics.
  • Making Aerobic Exercise Machines ‘Smart.’ The exercise machine accessory (220) of Figure 2 may be used for nearly any exercise machine, including strength training machines as shown in Figures 3A, 3B, 3C, 4A, 4B, and 4C, and aerobic exercise machines.
  • Figures 5A, 5B, and 5C are illustrations of an exercise machine accessory for treadmill type exercise machines. In one embodiment, the accessory of Figures 5A, 5B, and 5C is a more specific accessory of the type shown in Figure 2.
  • the exercise machine accessory may attach to a treadmill type exercise machine (502), which typically includes a tread belt (504) for the user to walk and/or run on.
  • a treadmill type exercise machine typically includes a tread belt (504) for the user to walk and/or run on.
  • the resistance identifier (252) of Figure 2 for such treadmill type exercise machines may be associated with the tread belt (522) such as an optical encoder for belt position sensing and/or an incline sensor (524) to show how fast a user has gone, how far a user has gone, and at what incline a user is treading.
  • the resistance identifier (252) may also include any device between the user and the exercise actuator such as shoes or devices under shoes (526).
  • the ‘smart’ resistance identifier device (522) is assigned and/or measures the resistance that the user is exerting against the treadmill type exercise machine (502) as a resistance identifier (252).
  • a user may use a mobile device camera in conjunction with an optically encoded belt using visible stickers to determine the speed/distance a user is running.
  • RFID/NFC markers may be used with wireless receivers to determine the speed/distance a user is running.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier is a device (not shown) with a system to allow a user to select the current treadmill speed, incline, and/or difficulty of the treadmill (502), for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “5 mph, 10 degree incline,” and this is then registered to the user.
  • computer vision and/or an accelerometer attached to the base is used to detect incline.
  • audible frequency is used to detect speed to exploit the relationship that frequency increases as the belt goes faster.
  • a frictional emitter may be used along the belt to assist enhancing the audible signal.
  • track gait and/or stride length may be assessed against pitch to determine treadmill speed.
  • gait and/or tempo are used as a basis for form feedback.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • processor such as a processor in a mobile device like a phone or tablet, to provide the ‘smart exercise machine’ features such as virtual coaching, human personal training via a videoconference, team collaboration, performance feedback, competitive leaderboard, congratulatory shout out, live class experience, suggested weight, peer performance/experience, peer feedback, form feedback, form graphical feedback, rep counting, tempo guidance, and/or historical data/statistics.
  • sensor fusion is used to integrate computer vision and IMU data.
  • the sensor fusion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fusion may be integrated with other data sources such as a trainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • Figures 6A, 6B, 6C, and 6D are illustrations of an exercise machine accessory for rowing type exercise machines.
  • the accessory of Figures 6A, 6B, 6C, and 6D is a more specific accessory of the type shown in Figure 2.
  • the exercise machine accessory may attach to a rower type exercise machine (602), also known as an ergometer or rowing ergometer which has a user exert rowing type motion against a flywheel (604) for resistance.
  • the flywheel (604) may dampen / offer resistance based on air resistance, water resistance, piston resistance, magnetic resistance, and/or brake resistance.
  • the ‘smart’ resistance identifier device is assigned and/or measures the resistance that the user is exerting against the rowing machine (602) as a resistance identifier (252).
  • a resistance identifier 252
  • a user may use a mobile device camera in conjunction with an optically encoded flywheel attachment using markers to determine the exertion a user is rowing against.
  • RFID/NFC markers may be used with wireless receivers to determine the user’s rowing exertion.
  • a motion identifier (256) may be used with the feet (624).
  • the resistance identifier device (622) / (624) / (626a) / (626b) / (628) includes a motion identifier (256) based at least in part on an IMU, gyroscope, accelerometer, and/or global positioning sensor, for example, one based on satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and/or QZSS satellites.
  • the motion identifier (256) tracks motion so that a processor coupled with a communications module (254) may analyze the physical work accomplished by a user with the rowing machine (602), and/or analyze a user’s form in exercising with the rowing machine.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier is a device (not shown) with a system to allow a user to select the current rowing flywheel tension setting, for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “flywheel setting #6,” and this is then registered to the user.
  • powering the resistance identifier (252) and/or motion identifier (256) is a batery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a batery and/or flywheel using motion from the exercise movement itself.
  • the charging flywheel is the same as the dampening flywheel (604). LonWorks, BACnet, NB-IOT, LTE-Advanced, LTE-M, 5G, LPWAN, LoRaWAN, Sigfox, Weightless, RPMA, and/or VSAT.
  • the communications module (254) communicates with a processor, such as a processor in a mobile device like a phone or tablet, to provide the ‘smart exercise machine’ features such as virtual coaching, human personal training via a videoconference, team collaboration, performance feedback, competitive leaderboard, congratulatory shout out, live class experience, suggested weight, peer performance/experience, peer feedback, form feedback, form graphical feedback, rep counting, tempo guidance, and/or historical data/statistics.
  • a processor such as a processor in a mobile device like a phone or tablet
  • a resistance controller (272) as shown in Figure 2 may be associated with the rowing machine, for example, by controlling the dampening flywheel resistance (672).
  • the flywheel controller (672) may be an electromagnetic actuator, for example, a linear/rail actuator, that pushes a flywheel baffle in the similar manner as a human would push it.
  • the flywheel controller (672) includes a manual override that allows a user to set their own setting without regard to the exercise machine accessory.
  • the flywheel resistance may be increased using the controller (672) when the scenario encounters rapid currents and may be decreased using the controller (672) when the scenario encounters calmer waters. device.
  • a mobile device and exercise machine accessory may share the processing of user motion data.
  • the computer vision system may perform resistance identification (252) using computer vision to determine resistance, for example, by observing user motion.
  • This system may be enhanced with a user setup, for example, with a set of bar/QR code/color coded/retroreflective/emitter/infrared markers that may be attached to various body points on the user, and/or with markerless systems.
  • This system may be birther enhanced using MoCap type devices and systems, for example, active MoCap IMU sensors, IK, and/or anatomical models.
  • sensor fijsion is used to integrate computer vision and IMU data.
  • the sensor fijsion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fijsion may be integrated with other data sources such as a Rainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • Figures 7A, 7B, 7C, and 7D are illustrations of an exercise machine accessory for cycle type exercise machines.
  • the accessory of Figures 7A, 7B, 7C, and 7D is a more specific accessory of the type shown in Figure 2. be measured against a perpendicular load cell, similar to that described for tension meter (426) in Figure 4B.
  • the resistance identifier (252) may also include any device between the user and the exercise machine (702) such as shoes or devices under shoes (not shown).
  • the ‘smart’ resistance identifier device is assigned and/or measures the resistance that the user is exerting against the cycling machine (702) as a resistance identifier (252).
  • a user may use a mobile device camera in conjunction with an optically encoded flywheel attachment using markers to determine the exertion a user is cycling against.
  • RFID/NFC markers may be used with wireless receivers to determine the user’s cycling exertion.
  • the force exerted may be computed based at least in part on compression on the feet (724) and any known actuator/flywheel force (724) / (726a) / (726b), for example, through the use of a load cell / force transducer under the feet, since the user exerts force against the resistance by way of the feet.
  • a motion identifier (256) may be used with the feet (724) / (726a) / (726b).
  • the resistance identifier device (722) / (724) / (726a) / (726b) / (728) includes a motion identifier (256) based at least in part on an IMU, gyroscope, accelerometer, and/or global positioning sensor, for example, one based on satellites such as GPS, GLONASS, Galileo, BeiDou, IRNSS, and/or QZSS satellites.
  • the motion identifier (256) tracks motion so that a processor coupled with a communications module (254) may analyze the physical work accomplished by a user with the cycling machine (702), and/or analyze a user’s form in exercising with the cycling machine.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier is a device (not shown) with a system to allow a user to select the current cycling flywheel tension setting, for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “flywheel tension setting #3,” and this is then registered to the user. may only be in a specified radius of the crankcase, which provides a known elevation basis/level, i.e., a known x-axis, y-axis, and/or z-axis.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • the charging flywheel is the same as the cycle flywheel (704).
  • a resistance controller (272) as shown in Figure 2 may be associated with the cycling machine, for example, by controlling the dampening flywheel resistance (772).
  • the flywheel controller (772) may be an electromagnetic actuator, for example, a rotational actuator, that twists a tension control in the similar manner as a human would twist it.
  • the flywheel controller (772) includes a manual override that allows a user to set their own setting without regard to the exercise machine accessory.
  • the flywheel resistance may be increased using the controller (772) when the scenario encounters uphill scenarios and may be decreased using the controller (772) when the scenario encounters downhill scenarios.
  • sensor fijsion is used to integrate computer vision and IMU data.
  • the sensor fijsion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fijsion may be integrated with other data sources such as a Rainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • Figures 8A, 8B, and 8C are illustrations of an exercise machine accessory for elliptical type exercise machines.
  • the accessory of Figures 8A, 8B, and 8C is a more specific accessory of the type shown in Figure 2.
  • the exercise machine accessory may attach to an elliptical type exercise machine (802), which typically includes a flywheel (804) for the user to exert against in a motion similar to that of cross-country skiing.
  • the resistance identifier (252) of Figure 2 for such treadmill type exercise machines may be associated with the skiing motion, including a foot pedal accessory (822) to track foot motion and load, a flywheel accessory (824) such as an optical/wireless encoder for position sensing and/or an incline sensor to show how fast a user has gone and/or how far a user has gone, and/or a pole accessory (826) to track arm motion and load.
  • the resistance identifier (252) may also include any device between the user and the exercise actuator such as shoes, devices under feet, gloves, and/or devices under hands (not shown).
  • the ‘smart’ resistance identifier device is assigned and/or measures the resistance that the user is exerting against the elliptical type exercise machine (802) as a resistance identifier (252).
  • a user may use a mobile device camera in conjunction with an optically encoded flywheel (824) using visible stickers to determine the speed/distance a user is running.
  • RFID/NFC markers may be used with wireless receivers to determine the speed/distance a user is running.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • the charging flywheel is the same as the flywheel (804).
  • sensor fusion is used to integrate computer vision and IMU data.
  • the sensor fusion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fusion may be integrated with other data sources, such as trainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.
  • Figures 9A, 9B, and 9C are illustrations of an exercise machine accessory for stair climber type exercise machines.
  • the accessory of Figures 9A, 9B, and 9C is a more specific accessory of the type shown in Figure 2.
  • the exercise machine accessory may attach to a stair climber / stair stepper machine (902), which typically includes a resistance (not shown) for the user to exert against in a motion similar to that of walking up a staircase.
  • This resistance may be a linked pneumatic cylinder, a rotating stair coupled to a flywheel, and/or a rotating stair coupled to an altemator/brake, and often includes a rail for a user to balance and/or rest against.
  • the resistance identifier (252) of Figure 2 for such stair climber machines may be associated with the stair motion, including a foot pedal accessory (922) to track foot motion and load, stair linkage (924a), for example, between links of the rotating stair chain coupling, and/or a rail accessory (926) to track arm motion and load.
  • stair linkage (924a) for example, between links of the rotating stair chain coupling, and/or a rail accessory (926) to track arm motion and load.
  • another design to measure chain/cable tension without disconnecting the chain is to use a tension meter (924b) allowing the chain/cable to be measured against a perpendicular load cell, similar to that described for tension meter (426) in Figure 4B.
  • the resistance identifier (252) may also include any device between the user and the exercise actuator such as shoes, devices under feet, gloves, and/or devices under hands (not shown).
  • the ‘smart’ resistance identifier device is assigned and/or measures the resistance that the user is exerting against the stair climber machine (902) as a resistance identifier (252).
  • a user may use a mobile device camera in conjunction with an optically encoded chain (not shown) using visible stickers to determine the speed/distance a user is climbing.
  • RFID/NFC markers may be used with wireless receivers to determine the speed/distance a user is climbing.
  • (256) tracks motion so that a processor coupled with a communications module (254) may analyze the physical work accomplished by a user with the stair climber machine (902), and/or analyze a user’s form in exercising with the stair climber machine.
  • a dead reckoning system may be used based at least in part on previously determined position and/or velocity vectors.
  • a resistance identifier is a device (not shown) with a system to allow a user to select the current climbing speed, incline, and/or difficulty of the machine (902), for example, using user tapping, buttons, voice recognition, and/or a touch screen. For example, the user may select “hills workout with difficulty #4,” and this is then registered to the user.
  • powering the resistance identifier (252) and/or motion identifier (256) is a battery system, a solar photovoltaic system, and/or a kinetic movement system, for example, one that charges a battery and/or flywheel using motion from the exercise movement itself.
  • the charging flywheel is part of the climber resistance. congratulatory shout out, live class experience, suggested weight, peer performance/experience, peer feedback, form feedback, form graphical feedback, rep counting, tempo guidance, and/or historical data/statistics.
  • sensor fijsion is used to integrate computer vision and IMU data.
  • the sensor fijsion comprises synchronization of a plurality of asynchronous data sources such as computer vision and IMU.
  • the different output variables from computer vision and IMUs are algebraically combined. This may include establishing a shared time framework, for example, NTP and/or a derivative of NTP.
  • a direct socket connection and/or WebRTC may be used to communicate between the data sources.
  • This sensor fijsion may be integrated with other data sources, such as Rainer video on the mobile device. Latency from processor computation, network conditions, and server conditions may be controlled using a control loop.

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Abstract

Un accessoire de machine d'exercice est divulgué. Dans un mode de réalisation, un identificateur de résistance est configuré pour identifier une résistance d'une machine d'exercice associée à l'accessoire de machine d'exercice, l'identificateur de résistance étant couplé à la machine d'exercice. Dans un mode de réalisation, un identificateur de mouvement est configuré pour identifier un mouvement d'exercice d'un utilisateur de la machine d'exercice. Dans un mode de réalisation, un module de communication est configuré pour communiquer avec l'utilisateur de la machine d'exercice, le module de communication étant couplé à l'identificateur de résistance et à l'identificateur de mouvement.
PCT/US2022/031184 2022-05-26 2022-05-26 Identificateur de résistance de machine d'exercice WO2023229601A1 (fr)

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