The present disclosure discloses a calibration method for output force of strength-type intelligent fitness equipment, which belongs to the field of intelligent fitness, including: connecting a tension detection device to the strength-type intelligent fitness equipment; obtaining an actual tension of the strength-type intelligent fitness equipment by turning on the tension detection device to perform detection; obtaining a tension deviation based on a target tension of the strength-type intelligent fitness equipment and the actual tension; and calibrating the strength-type intelligent fitness equipment based on the tension deviation.

An exercise machine is disclosed. The exercise machine comprises a motor. The exercise machine comprises a gearbox coupled to the motor, wherein the gearbox comprises bevel gears. The exercise machine comprises a spool coupled to the gearbox. The exercise machine comprises a cable wound about the spool. A second exercise machine is disclosed. The second exercise machine comprises a motor. The second exercise machine comprises a lockable translatable mount. The second exercise machine comprises a cable coupled to the motor via the lockable translatable mount. The second exercise machine comprises a sensor coupled to the lockable translatable mount, wherein the sensor is used at least in part to determine mount lock state. A third exercise machine is disclosed. The third exercise machine comprises a motor. The third exercise machine comprises a mount. The third exercise machine comprises a cable coupled to the motor via the mount. The third exercise machine comprises a sensor coupled to the mount, wherein the sensor is used at least in part to determine mount lock state. The third exercise machine comprises a lockable arm coupled to the mount and a second sensor coupled to the lockable arm, wherein the second sensor is used at least in part to determine arm angle.

The present disclosure relates to a system for providing real-time performance feedback on a rowing machine, the rowing machine comprising a load unit 1 coupled to a support track, a seat 5 slidably coupled to the support track for supporting a rower, a handle 3 coupled to the load unit arranged to move relative to the load unit by a pulling action on the handle, and a foot stretcher 4 coupled to the support track arranged to receive a pushing action thereon, the system comprising: a first sensor 13 configured to measure a first parameter indicative of the pulling action on the handle; a second sensor 11 configured to measure a second parameter indicative of the pushing action received by the foot stretcher; and a data processing unit, DPU, configured to determine a relationship between the pulling action on the handle and the pushing action received by the foot stretcher based on the first parameter and the second parameter.

Interactive/smart resistance band training systems include one or more resistance bands connected to a force sensing unit that registers the force exerted by a user on handles connected to the bands. The sensing unit operates effectively regardless of whether the user is training with one handle individually, or with two handles being pulled in parallel or non-parallel directions. The systems may correct the force readings to account for non-alignment between the force-measurement axis of the force sensing unit and the directions in which the user applies force to the resistance bands. The systems may guide a user through exercise sessions tailored to the fitness level of the user; may display the force readings, calories burned, and other performance parameters and goals on a continuous, real-time basis; may summarize the result of the exercise session; and may recommend subsequent exercise sessions based on the performance of the user.

A performance monitoring system includes a pitching mound, one or more processors, and a memory. The pitching mound includes a piezoelectric film associated with a pitching rubber, one or more rubber layers covering the piezoelectric film, a transmitter electrically coupled to the piezoelectric film, and a power source powering an amplifier associated with the piezoelectric film. The piezoelectric film generates electrical signals in response to pressure exerted on the pitching rubber. The processors are configured to receive the electrical signals generated by the piezoelectric film and transmitted by the transmitter. The processor is configured to analyze the received electrical signals based on training data using machine learning algorithms to determine at least one performance characteristic of the pitcher. The processors are configured to display on a display device the determined at least one performance characteristic in real-time.

Devices and methods are disclosed for remote clinical monitoring performance of exercises using a smart resistance exercise device including a resistance band, a first handle connected to a first end of the resistance band and a second handle connected to a second end of the resistance band, a force sensing assembly operably coupled to the resistance band, and a local receiving device communicatively coupled to the force sensing assembly. The force sensing assembly of the device includes a housing, and a force sensor disposed in the housing and operatively connected to the resistance band to measure a force exerted on the resistance band. The force sensing assembly also includes a processing and communication module communicatively coupled to the force sensor to receive measurements of the force sensor and communicatively coupled to the local receiving device to transmit the measurements to the local receiving device.

Provided is an exercise machine system capable of adjusting a weight by using flow weights, and more particularly, to an exercise machine system capable of adjusting a weight by adjusting the number of flow weights such as short balls and loading the flow weights in a flow weight loading part of an exercise machine. The exercise machine system capable of adjusting a weight by using flow weights, which is capable of allowing a user to perform an exercise with a desired weight by setting up an exercise weight and supplying the flow weight parts to the flow weight loading part based on the preset exercise weight. Therefore, it is possible to eliminate the inconvenience to the user having to manually adjust the weight.

An exercise bar is provided. The exercise bar includes a handle tube with a longitudinal interior bore. The handle tube has a first end and a second end. A center shaft has an outer surface. The center shaft is fitted through the longitudinal interior bore exposing a first end portion of the center shaft at the first end of the handle tube and exposing a second end portion of the center shaft at the second end of the handle tube. A sensor is disposed on a mounting section of the outer surface of the center shaft between the first and second portion of the center shaft. A processor is disposed in an interior of the exercise bar. The sensor is in electronic communication with the processor in the exercise bar.

The present disclosure relates to systems, devices, and methods for measuring physical impacts to various surfaces, including athletic equipment such as punching bags, tackling dummies, etc. An example system includes a punching bag and a plurality of force sensors coupled to the punching bag. The force sensors are configured to detect physical impacts on the punching bag.

The disclosure herein provides a smart golf pin system and golf GPS device with a mechanism to automatically receive golf hole cup information and display the golf hole information on the golf GPS device. More specifically, the golf GPS device receives data from a plurality of GPS modules installed on the golf pins located throughout the golf course and based on its current location, selects a set of GPS coordinates corresponding to the current hole that the golfer is playing, and displays a distance from the golf GPS device to the actual hole cup location in the current hole, thereby allowing the golfer to fine tune his or her approach accordingly.