Golf instruction method, apparatus and analytics platform
Abstract
A golf instruction method, apparatus and analytics platform for determining the state of a putted golf ball relative to a target using information about the golf ball and external variables and remotely displaying the same comprising a base unit, a mobile device or terminal, and an associated computer program including an analytics engine for analyzing a user's performance. The computer program determines whether and how a putted golf ball has missed said target and then stores, aggregates and displays that information for a user. The analytics engine is operable to aggregate data, analyze data and then correlate a user's actual skill proficiency to ball performance.
Claims
exact text as granted — not AI-modified1 . A golf instruction apparatus and analytics platform, comprising:
a base unit operable to receive stimuli related to the state of a golf ball; a processor coupled to the base unit operable to digitize said stimuli into input data; an analytics engine comprising software in the form of computer instructions stored on a computer readable medium and executed by a processor, the analytics engine operable to (i) correlate the input data with at least one external variable, (ii) using an algorithm, process the correlated input data and at least one external variable to obtain a result and (iii) output the result.
2 . The golf instruction apparatus and analytics platform of claim 1 , wherein the stimuli is at least one selected from the group consisting of location of the golf ball relative to a start position and an actual or virtual target or target hole, speed, velocity, acceleration and deceleration of the golf ball over a selected length of travel, golf ball force at any time prior to, and upon impacting or reaching the actual or virtual target or target hole, spin of the golf ball at any time prior to, and upon reaching or impacting the actual or virtual target or target hole and lift of the golf ball off a club face.
3 . The golf instruction apparatus and analytics platform of claim 1 , wherein the at least one external variable is one selected from the group consisting of user position, actual or virtual target location, actual or virtual target hole location, gradient between selected locations, wind velocity, wind acceleration, characteristics of a putting surface, including attributed speed based on the measurement of static and dynamic co-efficient of friction and obstacles.
4 . The golf instruction apparatus and analytics platform of claim 3 , wherein at least one of the at least one external variables are previously stored in a memory accessible by the processor.
5 . The golf instruction apparatus and analytics platform of claim 3 , wherein at least one of the at least one external variables are sensed, collected and stored in a memory accessible by the processor contemporaneously with the receipt of stimuli related to the state of the golf ball.
6 . The golf instruction apparatus and analytics platform of claim 3 , wherein the external variables comprise spatial orientation of ball relative to a target, speed and velocity of the ball, when impacting target compared to an acceptable speed range, spin of the ball, lift of the ball off club face, and a visual representation of the putting stroke.
7 . The golf instruction apparatus and analytics platform of claim 1 , further comprising a display for displaying the output results.
8 . The golf instruction apparatus and analytics platform of claim 1 , wherein the stimuli is received in the base unit using a sensor selected from the group consisting of a camera, motion detector, infrared sensor, sonar, and acoustic sensor and an at least one external variable is received using a sensor selected from the group consisting of a keypad, mouse, touchscreen, camera, infrared sensor, sonar, acoustic sensor, wind vane, friction detector and motion detector.
9 . The golf instruction apparatus and analytics platform of claim 1 , wherein the output result comprises a user's putting performance results relating to putting line, speed, accuracy and distance control.
10 . The golf instruction apparatus and analytics platform of claim 1 , wherein the base unit comprises a mobile device or terminal.
11 . The golf instruction apparatus and analytics platform of claim 1 , wherein the base unit is coupled to a mobile device or terminal over a wired or WiFi, Bluetooth®, cellular or similar radio spectrum link.
12 . The golf instruction apparatus and analytics platform of claim 1 , wherein the base unit further comprises:
a housing being made of a rigid material, preferably a hard plastic such as polyvinyl chloride; a sensing circuit for sensing position and velocity of a putted golf ball in close proximity to a user-facing side of said housing; a microprocessor running base unit firmware for driving a camera and I/O; a signal conditioning circuit for conditioning sensor data such that it is readable by said microprocessor; a transceiver for remotely communicating video data to a mobile terminal or device; a recording module for video recording user's putting stroke from the vantage point of simulated target hole; and a power source.
13 . The golf instruction apparatus and analytics platform of claim 1 , wherein at least one of the input data, external variables, algorithm and output are transmitted and stored in a remote or distributed server.
14 . The golf instruction apparatus and analytics platform of claim 1 , wherein the input data, external variables, algorithm and output are collected, transmitted and stored in a remote or distributed server and machine learning and artificial intelligence techniques are applied thereto to provide insights into the user's past, current and predicted performance.
15 . A mobile device and computer instructions, comprising:
a sensor operable to receive stimuli related to the state of a golf ball; a microprocessor coupled to the sensor operable to digitize said stimuli into input data; an analytics engine comprising software in the form of instructions stored on a computer readable medium and executed by a processor, the analytics engine operable to (i) correlate the input data with at least one external variable, (ii) using an algorithm, process the correlated data and at least one variable to obtain a result and (iii) output the result.
16 . The mobile device and computer instructions of claim 15 , wherein the analytics engine comprises instructions being stored on a computer readable medium to be executed by the microprocessor to query for and accept user input, communicate said user input with firmware in said microprocessor, receiving video data from a camera on the mobile device, correlate the video data with the at least one external variable; operate on such correlated video data and at least one external variable, obtain a result, format the result for output to a display on the mobile device.
17 . The mobile device and computer instructions of claim 15 , wherein at least one of the input data, external variables, algorithm and output are transmitted and stored in a remote or distributed server.
18 . The mobile device and computer instructions of claim 15 , wherein the input data, external variables, algorithm and output are collected, transmitted and stored in a remote or distributed server and machine learning and artificial intelligence techniques are applied thereto to provide insights into the user's past, current and predicted performance.
19 . The mobile device and computer instructions of claim 15 , wherein the stimuli is at least one selected from the group consisting of location of the golf ball relative to a start position and an actual or virtual target or target hole, speed, velocity or acceleration of the golf ball over a selected length of travel, golf ball force at any time prior to, and upon impacting or reaching the actual or virtual target or target hole, spin of the golf ball at any time prior to, and upon reaching or impacting the actual or virtual target or target hole and lift of the golf ball off a club face and wherein the at least one external variable is one selected from the group consisting of actual or virtual target location, actual or virtual target hole location, gradient between selected locations, wind velocity, wind acceleration, characteristics of a putting surface, including attributed speed based on the measurement of static and dynamic co-efficient of friction and obstacles.
20 . The mobile device and computer instructions of claim 15 , wherein at least one of the at least one external variables are sensed, collected and stored in a memory accessible by the processor contemporaneously with the receipt of stimuli related to the state of the golf ball.Join the waitlist — get patent alerts
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