Intelligent sensor system

• US 9,746,353 B2
• Filed: 06/06/2013
• Issued: 08/29/2017
• Est. Priority Date: 06/20/2012
• Status: Expired due to Fees

• Current Assignee: Jose Julio Doval, Kirt Alan Winter
• Original Assignee: Jose Julio Doval, Kirt Alan Winter
• Inventors: Winter, Kirt Alan, Doval, Jose Julio
• Primary Examiner(s): Le, John H
• Application Number:
  US13/912,005
• Publication Number:
  US 20130346009A1
• Time in Patent Office: 1,545 Days
• Field of Search: 702 75, 702 79, 702 93, 702 94, 702 96, 702 97, 702104, 702106, 702141, 702142, 702143, 702149, 702150, 702152, 702151, 702175, 702176, 702183, 702188, 702190, 340901, 340435, 342 55, 342104, 473451, 473455, 600300, 600301
• CPC Class Codes: A63B 2069/0006 for pitching
• CPC Class Codes: A63B 2069/0008 for batting
• CPC Class Codes: A63B 2069/0011 Catching
• CPC Class Codes: A63B 2220/35 Spin
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2220/808 Microphones
• CPC Class Codes: A63B 2220/833 Sensors arranged on the exercise apparatus or sports implement
• CPC Class Codes: A63B 2220/89 Field sensors, e.g. radar systems
• CPC Class Codes: A63B 2225/20 with means for remote communication, e.g. internet or the like
• CPC Class Codes: A63B 2225/50 Wireless data transmission, e.g. by radio transmitters or telemetry
• CPC Class Codes: A63B 2230/06 heartbeat rate only
• CPC Class Codes: A63B 2230/30 blood pressure A63B2230/04 takes precedence
• CPC Class Codes: A63B 2230/50 temperature
• CPC Class Codes: G01D 11/00 Component parts of measuring arrangements not specially adapted for a specific variable G01D13/00, G01D15/00 take precedence
• CPC Class Codes: G01D 21/02 Measuring two or more variables by means not covered by a single other subclass
• CPC Class Codes: G01P 21/02 of speedometers
• CPC Class Codes: G01S 13/58 Velocity or trajectory determination systems; Sense-of-movement determination systems
• CPC Class Codes: G01S 13/581 using transmission of interrupted pulse modulated waves and based upon the Doppler effect resulting from movement of targets
• CPC Class Codes: G01S 13/867 Combination of radar systems with cameras
• CPC Class Codes: G01S 13/88 : Radar or analogous systems specially adapted for specific applications electromagnetic prospecting or detecting of objects, e.g. near-field detection, G01V3/00
• CPC Class Codes: G06F 18/2433 : Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
• CPC Class Codes: G06V 10/764 : using classification, e.g. of video objects
• CPC Class Codes: G06V 40/23 : Recognition of whole body movements, e.g. for sport training

Abstract

A sensor system and method of using the system synergistically to improve the accuracy and usefulness of measured results is described. The system is comprised of electronically linked components that act as markers to trigger events, producers that gather data from sensors and aggregators that combine the data from a plurality of producers using triggers from marker devices to select the data of interest. The system is shown to be applicable to selection of data regions of interest and to analysis of the data to improve accuracy. The analysis of the data of any particular sensor within the system makes use of extrinsic data, being data generated by other sensors and intrinsic data, that is data or data limits that are known to be true from nature, laws of physics or just the particular information the user wants to acquire. The system is demonstrated on the analysis of Doppler radar measurements of a thrown object.

Claims

1. A system for making measurements on moving objects said system comprising:

a) a video camera sensor that can detect a movement of objects,

b) a Doppler radar sensor that can detect the movement of objects,

c) a processor that acquires raw data from the video camera sensor and the Doppler radar sensor, calculates measurements related to the movement of the objects and reports the measurements,

d) where the processor filters the raw data used in its calculation, said filters based upon both intrinsic information and data acquired by the video camera sensor and the Doppler radar sensor,

e) where intrinsic information is at least one selected from;

i) a maximum speed for the objects,

ii) a minimum speed for the objects,

iii) the three dimensional location of the objects at a start of the movement,

iv) the three dimensional location of the objects at an end of the movement, and,

v) a time interval between the start of the movement and the end of the movement,

f) where the measurements are at least one selected from;

i) the average speed of the objects,

ii) the maximum speed of the objects,

iii) acceleration of the objects, and,

iv) a video of the objects during their movement, and,

g) wherein the video camera sensor detects a movement of the object and based upon that detection sends an alert signal to the Doppler radar sensor, said alert signal activating the Doppler radar sensor to store data.

2. A method for analysis of Doppler radar data said method including:

a) acquiring pulse data from a Doppler radar sensor, said pulse data having a pulse width, and indicative of a speed of an object within the field of view of the Doppler radar sensor,

b) preparing a histogram of the pulse data, said histogram comprising parsing the data into time buckets based upon the pulse width of individual pulse data points and a frequency of occurrence of data points within the time buckets,

c) filtering the data to remove pulse data that is less than a preselected minimum speed,

d) filtering the data to remove pulse data that indicates a speed greater than a preselected maximum speed,

e) filtering the data to remove pulse data that occurs outside of a time interval said time interval defined by a second sensor,

f) filtering the data to remove pulse data that indicates an acceleration outside of a preselected acceleration range,

g) selecting a bucket from the histogram with the highest frequency of occurrence of pulse data,

h) calculating a weighted average of the pulse data including the bucket with the highest frequency of occurrence of pulse data and a preselected number of neighboring buckets,

i) reporting the speed of the object based upon the weighted average pulse width.

3. The method of claim 2 wherein the object is a pitched baseball and the preselected acceleration range indicates a deceleration of the baseball.

4. The method of claim 2 wherein the second sensor is a video camera.

5. The method of claim 2 wherein the second sensor is a sound sensor.