US20170128765A1

US20170128765A1 - Smart Barbell

Info

Publication number: US20170128765A1
Application number: US14/937,827
Authority: US
Inventors: Casey Garretson; Sandeep Yayathi; Adam Parsons; Christopher James Coultrap McQuin; Akinjide Akinniyi Akinyode
Original assignee: Individual
Current assignee: Individual
Priority date: 2014-11-10
Filing date: 2015-11-10
Publication date: 2017-05-11

Abstract

The present invention discloses an exercise system that allows tracking and monitoring of the exercise motion performed by end-users and enables insight into previously unavailable performance metrics. In a preferred embodiment of the instant invention, an exercise system comprising a barbell equipped with a system to determine the motion path of the barbell when lifted by an individual. The system for determining the motion path and the weight-load applied to the barbell comprises an array of sensors that collect information during the exercise movement, transmit that data to a collection system and processing system for analysis. The fusion of the plurality of sensors allows tracking and analysis of complex movements such as Olympic lifts (e.g., snatch or clean-and-jerk). For example, during exercise the motion and weight-load of the barbell of the instant invention is tracked and analyzed. The results of the analysis are reported to the athlete to improve the lifting form/technique or performance.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This non-provisional application claims priority to U.S. application No. 62/123,165 filed on Nov. 10, 2014.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH AND DEVELOPMENT

Not applicable.

REFERENCE TO SEQUENCE LISTING APPENDIX

Not applicable.

BACKGROUND OF INVENTION

FIELD OF THE INVENTION/TECHNICAL FIELD

The disclosure herein relates to the specific field of exercise equipment, and more precisely, the technical area of free weights, and lastly, the technological discipline of data sensing, monitoring, distribution.

RELATED ART OF THE INVENTION

In general, people have sought to exercise efficiently and effectively. Specifically, some have sought to improve the techniques associated with lifting weights. Particular emphasis on weight lifting technique for specific types of complex weight lifts (e.g., Olympic lifts) is common practice. Moreover, tracking and measuring the appropriate weight lifting technique for different types of lifts is known.
The US patent publication US 2002/0128127 (“the '127 publication”) discloses a dumbbell with a means to detect and show physical conditions of the operator. However, the '127 publication does not disclose a means to detect the dumbbell position, nor does it disclose a means to measure dumbbell bar strain. Also, the '127 publication does not disclose an interactive system for performance improvement and measurements.
The WIPO patent publication 2009/013679 (“the '679 publication”) discloses a dumbbell device for physical training. However, the '679 publication does not disclose a means to measure strain on the barbell when weights are added to the barbell, nor does the '679 publication disclose a means to calculate strain related parameters such as weight and peak power. Finally, the '679 publication does not disclose a means to relate progress or improvement to strain related parameters.
The U.S. Pat. No. 9,061,170 (“the '170 patent”) discloses an apparatus for the assisted performance of a fitness exercise. However, the '170 patent does not disclose a means to attach strain gauges to a barbell nor, does the '170 patent disclose a networked system to distribute relevant performance or measured data.
The US patent publication 2013/0288859 (“the '859 publication”) discloses have a free weight monitoring system. However, '859 publication does not disclose a means to attach strain gauges to a barbell on the exterior of the barbell, nor the '859 publication disclose a means to integrate strain gauge related data with accelerometer, or ultra-wide-band (UWB) positioning type data.

DESCRIPTION OF THE FIGURES

FIG. 1 is a diagram view of a networked distribution system and a local exercise system.

FIG. 2 discloses a diagram view of a local exercise system in a putative setting, comprising one or more base station that monitors barbell movement and a data hub for communication with a network distribution system.

FIG. 3 discloses a perspective view which housing of the device, wherein the bar is not shown.

FIG. 4 discloses a perspective view which shows a putative electronics arrangement of said device.

FIG. 5 discloses strain gauges used to measure force on the bar. The top half of the device is not shown.

FIG. 6 is a diagram view disclosing an exercise device of the preferred embodiment comprising major sensor types.

FIG. 7 is a diagram view disclosing exemplary components and software modules present on a exercise device.

FIG. 8 is a diagram view disclosing exemplary software modules present on a user device.

FIG. 9 discloses a diagram view comprising exemplary components and modules present on a data hub.

FIG. 10 is a diagram view discloses exemplary software modules present on one or more servers.

FIG. 11 discloses a diagram view showing a preferred series of steps of using the invention.

FIG. 12 discloses a diagram view showing what happens after processing of data by exercise device.

FIG. 13 discloses a diagram view showing what happens when data enters the user device.

FIG. 14 discloses a diagram view showing what happens when data enters data hub.

FIG. 15 depicts a power estimate from data obtained during exercise comprising fusion of strain gauge sensor data and velocity data derived from a combination of sensors within IMU.

FIG. 16 discloses power calculations derived from both (i) user mass input and (ii) strain gauge mass input.

SUMMARY

The present invention relates to an exercise equipment device capable of measuring the movement path and weight load carried in/on the exercise device when an end-user is performing a specific exercise movement with said device. The movement path data is transmitted from the device to a collection device and subsequently analyzed. The movement path data is compared to a standard movement path and similarities and deviations from the standard movement path are determined. The degree of similarity and difference to the standard movement path is then transmitted back to the end-user. Moreover, specific performance metrics may be calculated and conveyed in order to make comparisons between end-user performance and previous performance, or between performances of multiple users. Accordingly, the present invention may provide end-user with information related to the exercise form and/or exercise metrics.
Information and analysis related to the movement path data obtained after an end-user performs an exercise with the device of the present invention is leveraged to inform the end-user as to the quality of their exercise form or technique. Accordingly, modifications may be made to improve the efficiency and/or efficacy of an end-users form or technique in order to improve the overall performance and optimize the results of the exercise program.

DETAILED DESCRIPTION OF THE INVENTION

The present invention is now described with reference to the figures, where like reference numbers indicate identical or functionally similar elements. Also in the figures, the leftmost digit of each reference number corresponds to the figure in which the reference number is first used. While specific configurations and arrangements are discussed, it should be understood that this is done for illustrative purposes only. A person skilled in the relevant art will recognize that other configurations and arrangements can be used without departing from the spirit and scope of the invention. It will be apparent to a person skilled in the relevant art that this invention can also be employed in a variety of other systems and applications.
The instant invention comprises commonly known elements. Moreover, steps associated with the methods of instant invention comprise commonly known elements. However, these elements, their use, and relationships to the novel components of the invention render them applicable herein. In order to highlight the roles in the specification, they are subsequently explained herein.
The computer 6 comprises a general purpose device that can be programmed to carry out a finite set of arithmetic or logical operations. Examples of computers 6 include: desktop computers, game consoles, laptops, notebooks, palmtops, tablets, smartphones, smartbooks or the like. In a preferred embodiment, the computer 6 preferably comprises the following sub-components: a central Processing Unit (CPU) 7, memory 8 (e.g., volatile and nonvolatile), and an operating system 9.
A computer comprises a CPU 7 that carries out the instructions of a computer program by performing the basic arithmetical, logical, and input/output operations of the system. The memory 8 comprises the physical devices used to store programs (e.g., sequences of instructions) or data (e.g. program state information) on a temporary or permanent basis for use in a computer or other digital electronic device. The operating system 9 comprises a collection of software that manages computer hardware resources and provides common services for computer programs. The graphical user interface 10 comprises a type of user interface that allows users to interact with electronic devices through graphical icons and visual indicators such as secondary notation, as opposed to text-based interfaces, typed command labels or text navigation. The module 11 comprises instructions hosted on memory 8 executed by the CPU 7 which perform functions. The exercise device user 3 comprises a person who has an interest in evaluating the data of or physically using one or more exercise device 4. In some embodiments, one can contemplate that examples of an exercise device user 3 may include: a person, an athlete, a coach, an Olympian, a medical professional, rehabilitation professional, an insurance professional, a CrossFit instructor, a team coach, a personal trainer, a group trainer and other comparable equivalents.
In one embodiment, the invention may preferably has two sub-parts: a local exercise system 1 and a networked distribution system 2, respectively. The local exercise system 1 comprises a combination of sensors and one or more pieces of exercise equipment. In a preferred embodiment, the local exercise system 1 is preferably positioned within a workout area. The local exercise system 1 aims to both: 1) monitor complex motion such as Olympic lifts comprising the snatch and the clean and jerk; and 2) monitor the form of the individual performing exercise relative to an established standard for said exercise. The local exercise system 1 operably communicates with the user and the network. The local exercise system 1 communicates with multiple items including a user a network. The local exercise system 1 preferably comprises the real time positioning system 17, the data hub 16, and the exercise device 4.
The networked distribution system 2 comprises one or more devices and/or networks that interact to share sensor data, processed data, data stores, and presentation interfaces. One objective of the networked distribution system 2 is to communicate the data acquired from the sensor array 28 so that it will be useful for one more exercise device user 3. In some embodiments, if the networked distribution system 2 is missing, then the user may have a feedback and input mechanism solely on the exercise device 4. In the preferred embodiment, the networked distribution system 2 preferably comprises the user device 5, the server 54, and the network 15.
The real time positioning system 17 comprises a means to track the spatial positions of one or more regions of the exercise device 4. The real time positioning system 17 aims to both: 1) capture the real time movement of the exercise device 4 (e.g., barbell) during exercise; and 2) transmit movement path data from the exercise device to a collection device. In some embodiments, a real time positioning system 17 may include an ultra-wideband (UWB) tracking system or the like. Further, the real time positioning system 17 preferably comprises an additional sub-item comprising an UWB base station capture device 18. In turn, the UWB base station capture devices 18 comprises one or more measuring devices that measure the differences between time of flight, wavelength, and arrival time that are evaluated to calculate position. The UWB base station capture devices 18 is positioned: 1) below the lifter if there exists only one base station; or 2) as far apart from each other as reasonably possible. Moreover, if multiple base stations are employed in the UWB, said base stations are preferably positioned at variable elevations.
The UWB antenna 38 comprises one or more antenna paired with one or more base stations used to track real time positioning of the exercise device 4. Spatially, the UWB antenna 38 is preferably situated on various regions of the exercise device 4. One goal of the UWB antenna 38 is to establish a three-dimensional (3D) position of a region of the exercise device 4 in space. The UWB antenna 38 is attached to an exercise device 4. In some embodiments, alternatives include a steady radio signal, optical motion tracking, infrared reflective light, motion capture, WiFi signal, and/or differential global positioning system (GPS) or the like, which may replace the antenna. In some embodiments, one may reason that if the UWB antenna 38 is missing, then the exercise device 44 may be used without high resolution real time positioning.
The data hub 16 comprises a computer that integrates data from a real time positioning system 17, a user device 5 and data from network 15. The data hub 16 may perform processing, storage, or relay functions. In a preferred embodiment, the data hub 16 is preferably positioned within a workout area, in operational proximity (based on transmission range) to the exercise device 4, and in operational proximity (based on transmission range) to the real time positioning system 17. One goal of the data hub 16 is to integrate UWB process data from various components, computers and networks. The data hub 16 operably communicates with exercise device 4. The data hub 16 communicates and/or interacts with other components that comprise the system including: an exercise device 4; a real time positioning system 17; a network 15; and a user device 5. In some embodiments, it is thought that if the data hub 16 is missing, then interaction may be limited to an exercise device 4 and/or user device 5. In a preferred embodiment, the data hub 16 preferably comprises an on-site processing module 19, a group class analysis dynamics processing module 20, a real time group processing module 21, a transmission processing module 22, and a hub to cloud transfer mechanism 23.
The on-site processing module 19 comprises a series of executable instructions stored on a memory that processes sensory data for analysis/evaluation of user performance. A group class analysis dynamics processing module 20 comprises a series of executable instructions stored on a memory that helps with user demand across a networked system by local data processing. A real time group processing module 21 comprises a series of executable instructions stored on a memory that shows real time analysis of group performance dynamics. For example, determining who is performing best/worst in the class. A transmission processing module 22 comprises a series of executable instructions stored on memory that helps process transmissions to and from the data hub 16. A hub to cloud transfer mechanism 23 comprises a hardware/software component used to transmit information. In some embodiments, examples of a hub to cloud transfer mechanism 23 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, a Wired USB, Wired 1394a, a Wired 1394b or the like.
An exercise device 4 comprises a device comprising one or more sensors that is used for physical fitness and operated by a user. An exercise device 4 is preferably positioned in the hands of one or more exercise device user 3. One intention of the exercise device 4 is to track the usage data produced by an exercise device user 3, so said data may be used for evaluation and/or monitoring of performance. In some embodiments, examples of an exercise device 4 may include a multi-appendage bracelet, a pole vault, or traditional weight machines, such as leg press, a barbell or the like. In a preferred embodiment, the exercise device 4 preferably comprises a barbell 24. In a preferred embodiment, the barbell 24 comprises a means for wirelessly communicating data collected from barbell sensors (e.g., a load cell with data capture) in order to transmit force data from an inertial measurement unit (“IMU”). An IMU 110 comprises an array of electronic sensors capable of measuring and reporting on specific force, angular rate, atmospheric pressure, the magnetic field surrounding an object.
While the exercise device is one embodiment of the claimed invention, alternatives include machines equipped with an array of sensors to track a load as it moves along a path. For example, in an alternative embodiment, a sensor array may be functional incorporated to measure a load on a robotic arm or the like as it moves.
A preferred embodiment of the exercise device is the barbell 24. The barbell 24 functions to both: 1) detect the weight of the weights attached to the barbell via the strain gauge assembly 25; and 2) capture the motion path in order to evaluate the end-users form relative to an established standard. In some embodiments, it is thought that examples of a barbell 24 may include an Olympic committee standard, a straight barbell, dumbbells, free weight workout machines like leg press or hip sled. The barbell 24 is preferably a standard shaped barbell comprising a grip area, collar diameter, and a weight carrying area. In turn, the barbell 24 preferably comprises the bar 26, the collar 27, and the removable weight 28.
The bar 26 comprises the straight portion of a barbell 24 that interacts with a user's hands. The bar 26 functions as follows: to support the removable weights; to allow lifters to grasp the barbell; and to support the device electronics as disclosed herein. In a preferred embodiment, the bar 26 is chiefly contemplated to be composed of metal. In a preferred embodiment, the bar 26 is shaped like a cylinder. The removable weight 28 comprises means for providing the counteracting force for lifting-based workouts. In a preferred embodiment, the removable weight 28 is chiefly contemplated to be composed of metal. In the preferred embodiment, the removable weight 28 is preferably circular in shape with an opening in the center.
In alternative embodiments, it is reasonable to contemplate that if the bar 26 is absent, then alternative means for interacting with a user may suffice, such as lifting a weight directly. In such an embodiment the sensor array would be housed on the end-user (e.g. in a bracelet) or in the weight itself.
The collar 27 comprises a portion of the barbell 24 that separates the grip from the weight loading area. Removable weights are added to the weight loading area by inserting the bar through the central opening of the circular, removable weights. The removable weights are positioned against the collar and optionally fixed in place.
The sensor cassette 106 may be positioned on the grip portion of the barbell adjacent to the collar 27. Alternatively, the sensor cassette 106 may be positioned within the collar. Moreover, the sensor cassette 106 may be removable or irremovably affixed to the bar.
The sensor cassette 106 houses the sensors, components, CPU and memory for the performance measuring properties of the barbell 24. In the preferred embodiment, the sensor cassette XX is preferably situated outside the bar 26 and surrounding the bar 26.
In the preferred embodiment, the sensor cassette 106 preferably comprises the sensor array 29, the housing 30, the bar to device transfer mechanism 31, the bar to base station transfer mechanism 32, the embedded module 33, the power switch 34, the feedback components 35, the embedded power source 36, and the input mechanism 37.
The sensor array 29 comprises one or more sensors that transform sensory or positional information into digital data. The sensor array 29 is preferably situated inside the housing 30 of the sensor cassette 106. One goal of the sensor array 29 is to have a series of different sensor types that allow an exercise device user 3 to measure or evaluate performance data and potentially enhance performance. In some embodiments, one may reason that examples of a sensor array 29 may include a heart rate sensor, a physiological sensor, a strain sensor, a pressure sensor, a system where weights have tags, or a RFID or the like. The sensor array 29 preferably comprises the strain gauge assembly 25, the UWB antenna 38, the identity mechanism 39, the magnetometer(s) 40, accelerometer(s) 106, gyroscope(s) 106, and the altimeter mechanism 41.
In an embodiment of the present invention a plurality of sensors are used to achieve sensor array fusion. FIG. 15, 16 In the present invention, when an exercise device (e.g., barbell) is engaged as intended (e.g., lifted), all sensors deployed in the sensor array cassette, comprising the IMU and the strain gauge(s), collect data. Since the action of exercising using the device activates the majority of sensors deployed, the action of exercising fuses all data collection over the majority of the sensor array into one instance or context (e.g., the lift). Therefore, the data collected from the sensor array fusion is capable of producing a variety of data including, intra alia, force, speed, weight, etc. Multisensor data fusion may be performed using a multitude of algorithms. Deploying a sensor array capable of achieving fusion may increase the accuracy of the “fused-metrics” compared to one set of metrics in isolation.
In one embodiment of the present invention, an advanced sensor fusion is generated between a device mounted IMU and UWB antenna. This fusion allows high resolution motion tracking on order of centimeter or better resolution without a direct line of sight sensor such as a camera or laser range finder. In an alternative embodiment of the present invention, UWB systems use a combination of one or more static antenna stations and one or more dynamic antennas to be tracked. The base stations can be manually arranged with positions recorded or can automatically detect their positions relative to one another. In such an arrangement the system uses measurements of the Time of Flight (TOF) or Difference in Time Of Arrival (DTOA) to calculate the position of the dynamic antenna or antennas relative to the static base stations.
Moreover, in alternative embodiments of the present invention, a single static antenna can be used to measure radial motion, or motion that is directly towards or away from the antenna itself which could be useful if the static station is below the exercise device during a workout. Further, three dimensional motion can be tracked by multiple static antennas, with two antennas requiring an estimate of the motions as there are an infinite number of solutions along the circumference of the circle formed by intersecting spheres. Finally, threes static antennas provide a unique solution for any point in space without multi path radio effects, and more than three static antennas help to eliminate errors caused by multipath effects. Accordingly, IMU and multi-antenna UWB create a sensor fusion to improve data accuracy.
A person of ordinary skill in the art will appreciate that a plurality of sensors are capable of being fused to generate accurate metrics related to the present invention. Moreover, metrics obtained from these fused sensor arrays are superior to data obtained using data from a single sensor type.
The strain gauge assembly 25 comprises an array of strain gauges arranged in a specific pattern that allows measuring of the force input on the bar. The strain gauge assembly 25 aims to both: 1) measure the force on the bar 26; and 2) work in concert with the other sensors to determine weight of the removable weights added to the bar. The strain gauge assembly 25 may be joined with the bar 26 and the within the sensor cassette. In some embodiments, examples of a strain gauge assembly 25 may include a package of strain gauges, removable strain gauges, a sheer gauge or the like. Further, the strain gauge assembly 25 preferably comprises an additional sub-part herein termed the strain gauge 42.
The strain gauge 42 comprises a type of sensor that allows measuring the minute change in bar 26 length (i.e., bar stretching) caused by strain upon a bar 26 surface caused by loading said bar 26 with removable weights and/or lifting said bar 26. In a preferred embodiment, the strain gauge 42 is arranged under the collar 27, oriented parallel to the bar 26, and opposite another strain gauge 42 on other side of bar 26. The strain gauge 42 data is employed to calculate the force on the bar caused by the weight applied to the bar or by the action of lifting the bar. The strain gauge 42 is connected with the bar 26 and the components of the sensor cassette. In a preferred embodiment, the strain gauge 42 ideally will have a count of approximately 8 however is reasonable to imagine that the strain gauge 42 may vary from a lowest value of 1 to a highest value of 32 or more.
An identity mechanism 39 comprises a means to associate one or more persons with the performance measured by the exercise devices 4. Spatially, the identity mechanism 39 is preferably situated within the sensor cassette. The identity mechanism 39 is designed to both: 1) track and transmit identity of user as data tag; and 2) identify specific end-users. The identity mechanism 39 interacts with a user device 5. The identity mechanism 39 interacts with multiple components of the system. First, the identity mechanism 39 communicates with user device 5. In some embodiments, if the identity mechanism 39 is absent, then the device may be used anonymously. Further, the identity mechanism 39 preferably comprises an additional sub-member called a near-field communication (NFC) module 44.
The NFC 44 comprises set of protocols that enable electronic devices to establish radio communication with each other by touching the devices together, or bringing them into proximity to a distance of typically 10 cm or less. Spatially, the NFC 44 is preferably situated within the sensor cassette. The NFC 44 is designed to both: 1) function as a proximity sensor; and 2) collect, associate and transmit user data. In some embodiments, one may reason that examples of an NFC enabled tag or alternative 44 may include: a fingerprint sensor, a bracelet, a biometric sensor, a retina sensor, and a digital input mechanism or the like.
The device of the instant invention also includes a magnetometer 40 which comprises a device to measure the strength and, in some cases, the direction of the magnetic field at a point in space. The magnetometer 40 is preferably situated within the sensor cassette. One objective of the magnetometer 40 is to be used as an orientation sensor. In some embodiments, it is thought that examples of a magnetometer 40 may include a compass, an vector magnetometer, an absolute magnetometer, a relative magnetometer, a total field magnetometer, a scalar magnetometer or the like.
The device of the instant invention also includes an accelerometer which comprises a device that measures proper acceleration (“g-force”). In a preferred embodiment, an accelerometer is preferably situated within the sensor cassette. The accelerometer functions to both: 1) measure acceleration; and, 2) measure vibration. In some embodiments, it is thought that examples of an accelerometer may include a Bulk micromachined capacitive accelerometer, a Bulk micro machined piezoelectric resistive accelerometer, a Capacitive spring mass base accelerometer, a DC response accelerometer, a Electromechanical servo (Servo Force Balance) accelerometer, a High gravity accelerometer, a High temperature accelerometer, a Laser accelerometer, a Low frequency accelerometer, a Magnetic induction accelerometer, an Optical accelerometer, an Pendulous integrating gyroscopic accelerometer (PIGA), a Piezoelectric accelerometer, a Quantum (Rubidium atom cloud, laser cooled) accelerometer, a Resonance accelerometer, a Surface acoustic wave (SAW), an Surface micro machined capacitive (MEMS), a Thermal (sub micrometer CMOS process), a Shear mode accelerometer, Triaxial accelerometer, a Vacuum diode with flexible anode accelerometer, a potentiometric type accelerometer, or a LVDT type accelerometer or the like.
The gyroscope comprises a disc in which the axis of rotation is free to assume any orientation. Spatially, the gyroscope is preferably positioned within the sensor cassette. The gyroscope is intended to: 1) measure the orientation of the exercise device 4; 2) measure the tilt of the exercise device 4; and, 3) measure the angular velocity about an axis of the exercise device. In some embodiments, an example of a gyroscope may include a gyrostat, piezoelectric gyroscope, cylindrical resonator gyroscope, vibrating wheel gyroscope, tuning fork gyroscope, wine-glass resonator gyroscope, and MEMS gyroscope or the like.
One aim of the housing 30 is to house the electronic components of the device. Another aim is to protect the electronic components during use.
The bar to device transfer mechanism 31 comprises a means to transmit data between the exercise device 4 and the user device 5. In a preferred embodiment, the bar to device transfer mechanism 31 is preferably arranged within the sensor cassette. In some embodiments, it is thought that examples of an bar to device transfer mechanism 31 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, or Wired 1394b or the like.
The bar to base station transfer mechanism 32 comprises a means to transmit data between the exercise device 4 and the user device 5. In the preferred embodiment, the bar to base station transfer mechanism 32 is preferably arranged within the sensor cassette. The bar to base station transfer mechanism 32 is designed to both: 1) transmit data from the bar to a base station; and 2) transmit bar movement path information from the bar to a base station. In some embodiments, it is thought that examples of a bar to base station transfer mechanism 32 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, or Wired 1394b or the like.
The embedded module 33 comprises one or more collections of executable instructions used to perform some of the processing, transmission, or features of the exercise device 4. The embedded module 33 is preferably arranged on the memory. The embedded module 33 preferably comprises the data collection module 45, the data serialization module 46, the data transmission module 47, the preprocessing module 48, the embedded database 49, and the embedded user interface (UI) module 50.
The data collection module 47 comprises executable instructions stored on memory that allows one to collect data from one or more sensors. The data serialization module 46 comprises executable instructions stored on memory that allows one to convert one or more objects into a stream of bytes. The data transmission module 47 comprises executable instructions stored on memory that allows one to transmit data to and from the exercise device 4.
The preprocessing module 48 comprises executable instructions stored on memory that allows filtering, error correction, compression and other signal enhancement features. The preprocessing module 48 preferably comprises the filtering module 51, the error correction module 52, and the compression module 53. The filtering module 51 comprises executable instructions stored on memory that allows the exercise device 4 to filter bandwidth data. The error correction module 52 comprises executable instructions stored on memory that allows functions to help correct the error artifacts collected from one or more sensors. The compression module 53 comprises executable instructions stored on memory that allows compression of data for transmission.
The embedded database 49 comprises executable instructions stored on memory that allows the storage of data in an organized way that can be retrieved. The embedded user interface (UI) module 50 comprises executable instructions stored on memory that allows the presentation of a user interface that can be manipulated by the user.
The power switch 34 comprises a means for user to turn on and off the exercise device 4. The power switch 34 is intended to both 1) activate the device and to 2) deactivate the device. In some embodiments, it is thought that if the power switch 34 is missing, the device may be activated by movement or other means. Similarly, in some embodiments, it is thought that if the power switch is missing, the device may be deactivated by lack of movement or some other means.
The feedback components 35 comprises a means for displaying useful information to an exercise device user 3 allowing them to measure, adjust, or evaluate performance. Spatially, the feedback component 35 is preferably positioned somewhere in or on the exercise device 4. The feedback components 35 has many intents which are as follows: First, the purpose of the feedback components 35 is to communicate information via audio. Next, it aims to communicate information via visual signals. Finally, the feedback component 35 aims to communicate information via the sense of touch. In some embodiments, it is thought that examples of an feedback components 35 may include an lights, an LCD, a OLED, a computer screen, an audio feedback, a speakers, or a haptic feedback or the like. In some embodiments, it is thought that if the feedback component 35 is absent, than the exercise device 4 can be used without specific feedback means.
The embedded power source 36 comprises means for powering the exercise device 4. In some embodiments, it is thought that examples of an embedded power source 36 may include a rechargeable (secondary) battery, a single use (primary) battery, a fuel cell, a capacitor bank, a wireless charging mechanism, an inductive charging mechanism, a ultra-capacitor, a kinetic power source or the like.
The input mechanism 37 comprises a means for inputting useful information to an exercise device user 3 allowing them to unlock or modify, or enter data. Spatially, the input mechanism 37 is preferably positioned somewhere in or on the exercise device 4. One aim of the input mechanism 37 is to input relevant data for user. In some embodiments, it is thought that examples of an input mechanism 37 may include a keypad, a touchscreen, a microphone or the like. In some embodiments, it is thought that if the input mechanism 37 is absent, than the exercise device 4 can be used without specific feedback means.
The user device 5 comprises a computer that may have an app or processing or user interface (UI) modules for evaluating the performance of one or more users of the exercise device 4. The user device 5 is preferably arranged within operational proximity to the exercise device 4. The user device 5 has multiple objectives including: viewing performance data; maintaining identity data; transmitting performance data. The user device 5 interacts with exercise device 4. The user device 5 communicates with a couple of things: It interacts with exercise device 4 and it also interacts with data hub 16. The user device 5 communicates with multiple items: First, the user device 5 interacts with exercise device 4. Next, it interacts with data hub 16 by. Finally, it interacts with internet. In some embodiments, one may reason that if the user device 5 is missing, then one may perhaps use the exercise device 4 without identity or evaluation. The user device 5 preferably comprises the device graphical user interface 55, the device CPU 56, the device memory 57, and the device to cloud transfer mechanism 58.
The device graphical user interface 55 comprises . . . (see above for definition of graphical.user.interface). The device CPU 56 comprises . . . (see above for definition of CPU). The device memory 57 comprises . . . (see above for definition of memory). In the preferred embodiment, the device memory 57 preferably comprises the user interface (UI) module 59, the device database 60, the real time analysis module 61, and the communication module 62. The UI module 59 comprises executable instructions on the memory that allows one more interfaces to be graphically represented. The device database 60 comprises executable instructions on the memory that allows storage and retrieval of data. The real time analysis module 61 comprises executable instructions on the memory that allows processing and analysis of real time metrics when performing using the exercise device 4. The communication module 62 comprises executable instructions on the memory that allows one to communicate with one or platforms of application program interfaces (APIs). The device to cloud transfer mechanism 58 comprises a means to transmit data between the user device 5 and the cloud or network 15. One objective of the device to cloud transfer mechanism 58 is to transmit data from the device to cloud. In some embodiments, one may reason that examples of an device to cloud transfer mechanisms 58 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, Wired 1394b or the like.
The server 54 comprises a system (software and suitable computer hardware) that responds to requests across a computer network and has a CPU capable of executing one or more instructions on one or module present on memory. The server 54 preferably comprises the server CPU 63, and the server memory 64, respectively. In the preferred embodiment, the server memory 64 preferably comprises the group data analysis and management module 65, the art specific application processing 66, the business analysis module 67, the performance strength training correlation module 68, the server user interface (UI) modules 69, the history module 70, the database 71, and the template comparison module 72.
The group data analysis and management module 65 comprises executable instructions on the memory that allows for analyzing group dynamics and process said data for output to user. The art specific application processing 66 comprises executable instructions on the memory that allows the data or interfaces to be tailored to the different consumers of the product (i.e., Olympic weightlifters, medical professionals, insurance companies, coaches etc.). The business analysis module 67 comprises executable instructions on the memory that allows analysis of the business dynamics related to exercise device 4. The performance strength training correlation module 68 comprises executable instructions on the memory that allows analysis, planning and evaluation for strength training. The server UI modules 69 comprise executable instructions on the memory that allows interfaces to the server. The history module 70 comprises executable instructions on the memory that allows one to track the performance history of a user of the exercise device 4. The database 71 comprises executable instructions on the memory that allows for storage and retrieval of data. The template comparison module 72 comprises executable instructions on the memory that allows one to compare their performance with that of a template professional.
The network 15 comprises a telecommunications network that allows computers to exchange data. In some embodiments, it is reasonable to contemplate that examples of an network 15 may include a personal area network, wireless personal area network, near-me area network, a local area network, a wireless local area network, a wireless mesh network, a wireless metropolitan area network, a wireless wide area network, a cellular network, a home area network, a storage area network, a campus area network, a backbone area network, a metropolitan area network, a wide area network, an enterprise private network, a virtual private network, an intranet, an extranet, an internetwork, an internet, a near field communications, or a mobile telephone network or the like.
The present invention relates to an exercise system comprising an exercise device and a method of using said device within said system. The objective of said exercise system is to capture the movement associated with an end-user performing an exercise. More specifically, the objective of the invention is to capture movement-based metrics during exercise and conduct a comparative analysis of those metrics to one or more of the following: (i) an end-user's past performance; (ii) the performance of others; and, (iii) and a standard for a specific exercise. Further, the present invention tracks the progress of the end-user over the course of the lift period. For example, power and speed data are collected when an end-user is lifting a specific weight for a set number of repetitions, thereby allowing for intra-set evaluations and analyses to be conducted. Moreover, the present invention allows for tracking the performance of individual workouts in order to map workout effectiveness.
Another object of the invention is to understand when a trainer's client is giving full effort. Yet another object of the invention is to validate personal trainer usefulness. Yet another object of the invention is to allow a more comprehensive evaluation of trainer's client. Yet another object of the invention is to allow for the evaluation of the effectiveness of a trainer. Yet another object of the invention is to allow coaching from a trainer, including an artificial intelligent (AI) trainer. Further, it is an object of the invention to prevent fraud from self-captured data.
Another object of the invention is to analyze the performance of highly technical barbell movements such as a snatch or a clean and jerk. An additional object of the invention is to evaluate the performance of highly technical barbell movements such as a snatch or clean-and-jerk.
Another object of the invention is to get data to allow for data mining for new knowledge. Yet another object of the invention is to acquire data to back up training decisions. Yet another object of the invention is to provide direction related to a specific exercise to an end-user.
Another object of the invention is to allow targeted instructions to personnel. Yet another object of the invention is to improve performance. Yet another object of the invention is to optimize form. Yet another object of the invention is to prevent injury due to poor form.
Another object of the invention is to allow for targeted workouts based on needs and deficiencies in order to rehabilitate or strengthen specific muscles and/or groups of muscles. Yet another object of the invention is to optimize exercise form for rehabilitation. Yet another object of the invention is to aid in recovery after surgical or medical procedure. Yet another object of the invention is to improve recovery from injury. Yet another object of the invention is to improve health of elderly.
Another object of the invention is to assess the cost of treatment. Yet another object of the invention is to optimize premiums based on risk. Yet another object of the invention is to determine if procedures are necessary. Yet another object of the invention is to determine if procedures should be recommended.
Another object of the invention is to have bulk evaluation and comparison of metrics for individual and teams that may be accessed by end-users and other such as coaching staff member, trainers, medical professionals or the like. Yet another object of the invention is to learn what metrics from a barbell translate to sport specific performance. Yet another object of the invention is to more quickly realize gains to prove trainer is effective.
Another object of the invention is to assess the potential of an athlete. Yet another object of the invention is to rank athletes by potential/ability. Yet another object of the invention is to easily compare athletes against each other. Yet another object of the invention is to assist with drafting and/or choosing athletes.
Another object of the invention is to leverage Deep Learning of Exercise data. As a sufficiently large network of exercise bars are used very large sample sizes are collected. Combining large data sets with precision temporal and spatial positioning data from, for example, fused IMU and position sensor systems aligned and indexed in combination with strain sensor data, barometric data, and timing data from multiple users over time enables, allows large N-analysis of lift performance and workout regimen or therapeutic regimen workouts without the need of perform long term controlled scientific tests on specific test participants.
A general method for using the invention comprises an exercise device user 3: (i) acquiring one or more exercise device 4; (ii) activating one or more exercise device 4; (iii) activating or otherwise establishing communication between a user device 5 and said exercise device 4; (iv) using the exercise device 4; (iii) transmitting data from one or more sensors on the exercise device 4; (v) collecting and processing said data collected by one or more exercise device 4 modules; (vi) transmitting data to one or more components for processing, presentation or evaluation by one or more users or coaches; (vii) evaluating data acquired from the exercise device 4. The above method is herein identified as method 1 and while these steps are depicted in an order, it is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further Step (vi) comprises two sub steps comprising: transmitting system data acquired from exercise device 4 to user device 5 via transfer mechanism 12 (this step is herein identified as Step (viii)); and/or, transmitting data acquired from exercise device 4 to base station 13 (this step is herein identified as Step (ix)). The above method is herein identified as method 2. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further, Step (viii) comprises two sub steps for using it which is as follows: processing data by one or more modules 14 on a user device 5 (this step is herein identified as Step (x)); and/or transmitting data to one or more of the following: a network 15, a data hub 16, or back to an exercise device 4 (this step is herein identified as Step (xi)). The above method is herein identified as method 3. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further, Step x comprises several sub steps comprising: transmitting from a base station 13 to a data hub 16 (this step is herein identified as Step (xii)); processing data on one or more modules 14 on the data hub 16 (this step is herein identified as Step (xiii)); optionally, transmitting data to one or more of the following: a network 15, a user device 5 or back to an exercise device 4 (this step is herein identified as Step (xiv)). The above method is herein identified as method 4. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Embodiments of the instant invention include: A barbell comprising a bar; an inertial measurement unit; a transmission system; a collar; an adjustable load segment; removable weights which may be added to the adjustable load segment of the barbell.
Embodiments of the instant invention further comprise an inertial measurement unit (IMU) of the barbell device that may also comprise a sensor array and a transmission system. The sensory array may further comprise: a gyroscope; an accelerometer, an altimeter; a strain gauge; and/or a magnetometer. The transmission system may comprise a transmission module to relay data from an exercise device to a network distribution system.
Embodiments of the instant invention include an exercise system comprising a local exercise system; and a networked distribution system. The local exercise system comprises a real time positioning system, a data hub, and an exercise device, whereas the networked distribution system comprises a user device, a server and a network.
More specifically, a data hub may comprise a computer wherein said computer integrates data from said local exercise system and said networked distribution system comprising: collecting and transmitting real time position data, processing, and storage of data. Likewise, a real time position system may comprise an ultra-wideband (UWB) tracking system comprising a base station capture device.
Further, a variety of methodologies for employing the exercise device of the instant invention are understood. One embodiment includes: acquiring and activating an exercise devices; using said exercise device; collecting information from one or more sensors on said exercise device; transmitting data from said sensor(s) to a collection device; processing and evaluating said data, and transmitting results back to an end-user.

Claims

We claim:

1. A device comprising:

a. a barbell comprising:

i. a bar;

ii. an inertial measurement unit;

iii. a transmission system;

iv. a collar;

v. an adjustable load segment;

wherein, removable weights may be added to the adjustable load segment of the barbell.

2. A device of claim 1, wherein the inertial measurement unit comprises a sensor array.

3. A sensory array of claim 2 comprising:

i. an IMU, wherein the IMU further comprises a gyroscope; an accelerometer; an altimeter; or a magnetometer;

ii. a strain gauge.

4. A device of claim 1, wherein the barbell transmission system comprises a wired network connection.

5. A device of claim 1, wherein the barbell transmission system comprises a wireless network connection.

6. A device of claim 1, wherein the barbell transmission system comprises a local storage system to collect sensor data for later transmission using a connection comprising: either a wireless network connection or a wired network connection.

7. An exercise system comprising:

a. a local exercise system; and

b. a networked distribution system.

8. An exercise system of claim 7, wherein said local exercise system comprises a real time positioning system, a data hub, and an exercise device.

9. An exercise system of claim 7, wherein said networked distribution system comprises a user device, a server and a network.

10. A local exercise system of claim 7, wherein said data hub comprises: a computer wherein said computer integrates data from said local exercise system and said networked distribution system comprising: collecting and transmitting real time position data, processing, and storage of data.

11. A local exercise system of claim 7, wherein said real time position system comprises an ultra-wideband (UWB) tracking system.

12. An ultra-wideband (UWB) tracking system of claim 11, wherein said UWB comprises a base station capture device and array of UWB antenna tags.

13. A method comprising:

a. acquiring one or more exercise devices;

b. activating one or more exercise devices;

c. establishing communication between a user device and said exercise device;

d. using said exercise device;

e. collecting information from one or more sensors on said exercise device;

f. transmitting data from said sensor(s) to a collection device; and,

g. evaluating said data.

14. A method of claim 13, wherein the communication comprises:

a. transmitting ultra-wideband data to a base station;

b. processing said data; and,

c. transmitting said results back to an end-user.