Patent classifications
A63B2024/0093
Exercise machine with pancake motor
An exercise machine is disclosed. The exercise machine comprises a pancake motor. The exercise machine comprises a torque controller coupled to the pancake motor. The exercise machine comprises a high resolution encoder coupled to the pancake motor.
Pedal drive system
A pedal drive system, in particular for an electric vehicle or a training apparatus, and for generating electrical power from muscle power of a user with at least one pedal and an electric generator, connected mechanically with said at least one pedal, is provided. To improve the haptic feel and feedback at the pedal, a control unit is provided for controlling a feedback torque, applied at said pedal, wherein the control unit comprises a haptic renderer, configured for control of said feedback torque based on at least one user-defined pedal reference trajectory.
TRAINING DEVICE AND UTILIZING METHOD THEREOF
The present disclosure provides a training device and a utilizing method thereof. The training device includes a main assembly and a first attachment assembly. The main assembly includes a housing and a driving component. The driving component is disposed in the housing. The first attachment assembly includes a first rod and a first attachment component. An end of the first rod is connected to the driving component. The driving component drives the first rod to rotate. The first attachment component is disposed on the first rod and attaches to a user.
Selective and Dynamic Deployment of Error Correction Code Techniques in Integrated Circuit Memory Devices
A memory system configured to dynamically adjust the amount of redundant information stored in memory cells of a wordline on an integrated circuit die based on a bit error rate. For example, in response to a determination that a bit error rate of the wordline is above a threshold, the memory system can store first data items as independent first codewords of an error correction code technique into a first portion of the memory cells of the wordline, generate second data items as redundant information from the first codewords, and store the second data items in a second portion of the memory cells of the wordline. If the bit error rate is below the threshold, third data items can be stored as independent second codewords of the same length as the first codewords in the memory cells of the wordline.
EXERCISE MACHINE SUGGESTED WEIGHTS
An exercise machine comprises an actuator, a motor coupled to the actuator, and a motor controller coupled to the motor. The motor controller is configured to receive an indication of a characteristic of a workout on the actuator, wherein the workout comprises a next exercise movement, determine a suggested weight for the next exercise movement, based at least in part on a physiological analysis of the workout characteristic, and control torque of the motor for the next exercise movement, based at least in part on the suggested weight.
Electromechanical Exercise Machine
An electro-mechanical displacement exercise apparatus for processing a maximum force potential of an athlete, including a frame a frame including a platform, wherein a section of the platform is connected to a tower, whereby the tower houses control means for manipulating a tension supporting member connected to a force bearing member, a first pull location, whereby the first pull location is positioned on the platform and within the frame and whereby the first pull location is operatively connected with a portion of the tension supporting member, whereby a user may exert a force on the tension supporting member operatively connected to a first actuator; and wherein the first actuator is housed within the tower, and whereby the first actuator includes a motor coupled to a gearbox.
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.
Treadmill having two belts
A treadmill may include two separate left and right belts rotating around two sets of rollers, four legs having an adjustable height via air suspension to customize an inclination of the treadmill, a thermoelectric assembly, a fragrance assembly having a rotating fragrance cartridge to emit various smells toward a user of the treadmill, a display on which exercise programs are played, and an attachment module having a dispensing tray on which treats are dispensed. A handle of the treadmill may have a sensor to sense a height and front-rear position, and a belt divider provided between the left and right belts may have position or proximity sensors to sense a left-right position. An inclination of the treadmill may be automatically adjusted according to positions detected by the sensors, and the fragrance assembly, attachment module, and inclination may be automatically operated in accordance with an exercise program played on the display.
Treadmill speed control
A speed control system and method for controlling the speed of an endless belt loop of a treadmill. The speed control system comprises a plurality of image sensors, each image sensor configured to take an image of a user of the treadmill; and a controller configured to control the speed of the endless belt loop by (a) receiving the images of the user taken by the image sensors, (b) rectifying the images based on a calibration of the image sensors, (c) comparing the images to form a disparity map, (d) determining a distance of a user of the treadmill relative to the treadmill using the disparity map, and (e) calculating velocity or acceleration of the treadmill based on the determined distance of the user.
FULL BODY FITNESS EQUIPMENT
A fitness device includes a main body, a left wing extending outwardly from the main body in a first direction, and a right wing extending outwardly from the main body in a second direction opposite the first direction. A cable extends from the main body to each of the left wing and the right wing. The fitness device further includes a gearbox, a spool assembly connected to an input end of the gearbox, a brake assembly connected to an output end of the gearbox, and a pulley assembly.