Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`IN THE UNITED STATES PATENT AND TRADEMARK OFFICE
`
`In re the application of: Alan J Lipton et al.
`
`Attorney Docket:
`
`OV-101
`
`Serial Number:
`
`12/569,116
`
`Group Art Unit:
`
`2621
`
`Filed:
`
`September 29, 2009
`
`Examiner:
`
`Tung Vo
`
`Confirmation Number:
`
`7686
`
`VIDEO SURVEILLANCE SYSTEM EMPLOYING VIDEO
`Title:
`PRIMITIVES
`
`SECOND SUPPLEMENTAL AMENDMENT AND INTERVIEW SUMMARY
`
`Commissioner for Patents
`P.O. Box 1450
`Alexandria, VA 22313
`
`Dear Sir:
`
`This is a further Supplemental Amendment to the response filed October 13, 2010.
`
`Please enter the following amendment and consider the following remarks.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`Amendments to the Claims:
`
`This listing of claims will replace all prior versions and listings of claims in the
`
`application:
`
`Listing of Claims:
`
`Claims 1-26 (Cancelled).
`
`27. (Currently Amended) A method comprising:
`
`detecting an object in a video from a single camera;
`
`detecting a plurality of attributes of the object by analyzing the video from said
`
`single camera, the plurality of attributes including at least one of a physical attribute and
`
`a temporal attribute, each attribute representing a characteristic of the detected object;
`
`selecting a new user rule after detecting the plurality of attributes; and
`
`after detecting the plurality of attributes and after selecting the new user rule,
`
`identifying an event of the object that is not one of the detected attributes of the object
`
`by applying the new user rule to the plurality of detected attributes;
`
`wherein the plurality of attributes that are detected are independent of which
`
`event is identified, arul
`
`wherein the step of identifying the event of the object identifies the event without
`
`reprocessing the video, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`28. (Cancelled).
`
`29. (Previously Presented) The method of claim 27, wherein selecting the new
`
`user rule comprises selecting a subset of the plurality of attributes for analysis.
`
`30. (Previously Presented) The method of claim 27, wherein the plurality of
`
`attributes that are detected are defined in a device prior to a selection of a subset of the
`
`plurality of attributes.
`
`31. (Previously Presented) The method of claim 27, wherein no analysis is
`
`performed on at least some of the detected attributes to detect an event.
`
`32. (Previously Presented) The method of claim 27, wherein the plurality of
`
`attributes include plural physical attributes and the method comprises applying the new
`
`user rule to a plural number of physical attributes.
`
`33. (Previously Presented) The method of claim 27, wherein the plurality of
`
`attributes include plural temporal attributes and the method comprises applying the new
`
`user rule to a plural number of temporal attributes.
`
`34. (Previously Presented) The method of claim 27, further comprising:
`
`storing the detected attributes in memory; and
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`identifying the event of the object by analyzing only a subset of the attributes
`
`stored in the memory.
`
`35. (Currently Amended) A method comprising:
`
`detecting first and second objects in a video from a single camera;
`
`detecting a plurality of attributes of each of the detected first and second objects
`
`by analyzing the video from said single camera, each attribute representing a
`
`characteristic of the respective detected object;
`
`selecting a new user rule; and
`
`after detecting the plurality of attributes, identifying an event that is not one of
`
`the detected attributes of the first and second objects by applying the new user rule to the
`
`plurality of detected attributes;
`
`wherein the plurality of attributes that are detected are independent of which
`
`event is identified,
`
`wherein the step of identifying an event of the object comprises identifying a first
`
`event of the first object interacting with the second object by analyzing the detected
`
`attributes of the first and second objects, the first event not being one of the detected
`
`attributes, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`36. (Currently Amended) A video device comprising:
`
`means for detecting an object in a video from a single camera;
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`means for detecting a plurality of attributes of the object by analyzing the video
`
`from said single camera, the plurality of attributes including at least a physical attribute
`
`and a temporal attribute, each attribute representing a characteristic of the detected
`
`object;
`
`a memory storing the plurality of detected attributes;
`
`means for selecting a new user rule after the plurality of detected attributes are
`
`stored in memory; and
`
`means for identifying an event of the object that is not one of the detected
`
`attributes of the object by applying a selected new user rule to the plurality of attributes
`
`stored in memory, for identifying the event independent of when the attributes are stored
`
`in memory and for identifying the event without reprocessing the video, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`37. (Previously Presented) The video device of claim 36, further comprising:
`
`a video camera operable to obtain the video.
`
`38. (Previously Presented) The video device of claim 36, wherein the means
`
`for identifying an event of the object comprises means for identifying a first event of the
`
`object in real time by analyzing, of the plurality of attributes, only a first selected subset
`
`of the plurality of attributes.
`
`39. (Previously Presented) The video device of claim 38, wherein the means
`
`for identifying an event of the object comprises means for identifying a second event of
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`the object by analyzing, of the plurality of attributes, only a second selected subset of the
`
`plurality of attributes that have been archived.
`
`40. (Previously Presented) The video device of claim 36, wherein applying a
`
`selected new user rule comprises analyzing, of the plurality of attributes, only a selected
`
`subset of the plurality of attributes.
`
`41. (Currently Amended) The video device of claim 36,
`
`wherein the memory [[is]] is configured to store at least some of the plurality of
`
`attributes for at least two months, and
`
`wherein the means for identifying an event of the object includes means for
`
`identifying an event of the object by analyzing only a selected subset of the plurality of
`
`attributes including the at least some of the plurality of attributes stored for at least two
`
`months.
`
`42. (Cancelled).
`
`43. (Previously Presented) The video device of claim 36, wherein the means
`
`for identifying an event includes means for identifying the event by analyzing at least
`
`two selected physical attributes of the plurality of attributes.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`44. (Previously Presented) The video device of claim 36, wherein the
`
`identifying means identifies an event by analyzing a selection of individual ones of the
`
`detected plural attributes.
`
`45. (Previously Presented) The video device of claim 36, wherein the plural
`
`attributes detected by the means for detecting are defined in the video device
`
`independent of a selection of the detected plural attributes.
`
`46. (Previously Presented) The video device of claim 36, wherein the video
`
`surveillance device is a computer system configured as a video surveillance device.
`
`47. (Previously Presented) The video device of claim 36, further comprising
`
`video sensors.
`
`48. (Currently Amended) A method comprising:
`
`providing a video device which detects an object upon analyzing a video from a
`
`single camera and which detects plural attributes of the detected object upon analyzing
`
`the video from said single camera, the plurality of attributes including at least a physical
`
`attribute and a temporal attribute; and
`
`then, selecting a rule, which is not a rule used to detect any individual attribute,
`
`as a new user rule, the new user rule providing an analysis of a combination of the
`
`attributes to detect an event that is not one of the detected attributes,
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`wherein the attributes to be detected are independent of the event to be detected_,_
`
`wherein the event of the object refers to the object engaged in an activity.
`
`49. (Previously Presented) The method of claim 48, further comprising:
`
`providing a video device which detects an object upon analyzing a video and
`
`which detects plural physical attributes and plural temporal attributes of the detected
`
`object upon analyzing the video; and
`
`then, selecting the new user rule to provide an analysis of a combination of the
`
`plural physical attributes and the plural temporal attributes to detect the event.
`
`50. (Currently Amended) A non-transitory computer-readable storage medium
`
`containing instructions that when executed by a computer system cause said computer
`
`system to implement the following method comprising:
`
`detecting an object in a video from a single camera;
`
`detecting a plurality of attributes of the object by analyzing the video from said
`
`single camera, the plurality of attributes including at least one of a physical attribute and
`
`a temporal attribute, each attribute representing a characteristic of the detected object;
`
`selecting a new user rule after detecting the plurality of attributes; and
`
`after detecting the plurality of attributes and after selecting the new user rule,
`
`identifying an event of the object that is not one of the detected attributes of the object
`
`by applying the new user rule to the plurality of detected attributes, the event of the
`
`object being identified without reprocessing the video;
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`wherein the plurality of attributes that are detected are independent of which
`
`event is identified, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`51. (Cancelled).
`
`52. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50, wherein selecting the new user rule comprises selecting a subset of
`
`the plurality of attributes for analysis.
`
`53. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50, wherein the plurality of attributes that are detected are defined in a
`
`device prior to a selection of a subset of the plurality of attributes.
`
`54. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50, wherein the instructions executed by the computer system do not
`
`cause the computer system to perform an analysis on at least some of the detected
`
`attributes to detect an event.
`
`55. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50,
`
`wherein the plurality of attributes include plural physical attributes, and
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`wherein the method implemented by the computer system further comprises
`
`applying the new user rule to a plural number of physical attributes.
`
`56. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50,
`
`wherein the plurality of attributes include plural temporal attributes, and
`
`wherein the method implemented by the computer system further comprises
`
`applying the new user rule to a plural number of temporal attributes.
`
`57. (Previously Presented) The non-transitory computer-readable storage
`
`medium of claim 50, wherein the method implemented by the computer system further
`
`compnses:
`
`storing the detected attributes in memory; and
`
`identifying the event of the object by analyzing only a subset of the attributes
`
`stored in the memory.
`
`58. (Currently Amended) A non-transitory computer-readable storage medium
`
`containing instructions that when executed by a computer system cause said computer
`
`system to implement the following method comprising:
`
`detecting first and second objects in a video from a single camera;
`
`detecting a plurality of attributes of each of the detected first and second objects
`
`by analyzing the video from said single camera, each attribute representing a
`
`characteristic of the respective detected object;
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`selecting a new user rule; and
`
`after detecting the plurality of attributes, identifying an event that is not one of
`
`the detected attributes of the first and second objects by applying the new user rule to the
`
`plurality of detected attributes;
`
`wherein the plurality of attributes that are detected are independent of which
`
`event is identified,
`
`wherein the step of identifying an event comprises identifying a first event of the
`
`first object interacting with the second object by analyzing the detected attributes of the
`
`first and second objects, the first event not being one of the detected attributes, and
`
`wherein the event of the object refers to the object engaged in an activity.
`
`59. (Currently Amended) A video device comprising:
`
`means for detecting first and second objects in a video from a single camera;
`
`means for detecting a plurality of attributes of the object by analyzing the video
`
`from said single camera, each attribute representing a characteristic of the respective
`
`detected object;
`
`a memory storing the plurality of detected attributes; and
`
`means for identifying an event of the first object interacting with the second
`
`object by applying a selected new user rule to the plurality of attributes stored in
`
`memory, and for identifying the event independent of when the attributes are stored in
`
`memory, the event not being one of the detected attributes,
`
`wherein the event of the object refers to the object engaged in an activity.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`60. (Previously Presented) The video device of claim 59, further comprising:
`
`a video camera operable to obtain the video.
`
`61. (Previously Presented) The video device of claim 59, wherein the means
`
`for identifying an event of the first object interacting with the second object comprises
`
`means for identifying a first event in real time by analyzing, of the plurality of attributes,
`
`only a first selected subset of the plurality of attributes.
`
`62. (Previously Presented) The video device of claim 61, wherein the means
`
`for identifying an event of the first object interacting with the second object comprises
`
`means for identifying a second event by analyzing, of the plurality of attributes, only a
`
`second selected subset of the plurality of attributes which have been archived.
`
`63. (Previously Presented) The video device of claim 59, wherein applying a
`
`selected new user rule comprises analyzing, of the plurality of attributes, only a selected
`
`subset of the plurality of attributes.
`
`64. (Previously Presented) The video device of claim 59,
`
`wherein the memory is configured to store at least some of the plurality of
`
`attributes for at least two months, and
`
`wherein the means for identifying an event of the first object interacting with the
`
`second object includes means for identifying the event by analyzing only a selected
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`subset of the plurality of attributes including the at least some of the plurality of
`
`attributes stored for at least two months.
`
`65. (Previously Presented) The video device of claim 59, wherein the means
`
`for identifying an event includes means for identifying the event without reprocessing
`
`the video.
`
`66. (Previously Presented) The video device of claim 59, wherein the means
`
`for identifying an event includes means for identifying the event by analyzing at least
`
`two selected physical attributes of the plurality of attributes.
`
`67. (Previously Presented) The video device of claim 59, wherein the
`
`identifying means identifies an event by analyzing a selection of individual ones of the
`
`detected plural attributes.
`
`68. (Previously Presented) The video device of claim 59, wherein the plural
`
`attributes detected by the means for detecting are defined in the video device
`
`independent of a selection of the detected plural attributes.
`
`69. (Previously Presented) The video device of claim 59, wherein the video
`
`surveillance device is a computer system configured as a video surveillance device.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`70. (Previously Presented) The video device of claim 59, further comprising
`
`video sensors.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`REMARKS
`
`Claims 27, 29-41, 43-50 and 52-70 are pending in this application, of which claims
`
`27, 35, 36, 48, 50, 58, and 59 are independent.
`
`The Applicant thanks Examiner Vo for his time during the personal interview of
`
`January 26, 2011 with Patrick Muir and Peter Venetianer. During the interview, the
`
`Applicant and Examiner discussed U.S. Patent Publication 2003/0023612 to Carlbom
`
`and its corresponding priority provisional applications (Nos. 60/299,335 and
`
`60/297,539), these documents recently brought to the Applicant's attention by the
`
`Examiner.
`
`As discussed, while Carlbom teaches obtaining plural motion trajectories, a separate
`
`camera (or sets of cameras) is used to detect a corresponding trajectory (one camera for
`
`a first player, another camera for a second player and six other cameras for the ball).
`
`There is no teaching of detecting multiple attributes by analyzing a video from a single
`
`camera, and then identifying an event of the object by applying a new user rule to those
`
`attributes. Claim 27 has been amended to clearly set forth this feature. The other
`
`independent claims 35, 36, 48, 50, 58, and 59 have also been amended to clarify that the
`
`video to be analyzed for multiple attributes is a video from a single camera.
`
`In more detail, the Carlbom documents teach a system for automated performance
`
`data mining associated with a domain-specific event based on analysis of sensor data.
`
`The performance data mining techniques may combine sensor analysis data with other
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`data sources stored in a database to discover interesting patterns/rules associated with
`
`the event.
`
`(See, e.g., paragraphs [0010] and [0010] of Carlbom '612.)
`
`More specifically, Carlbom teaches an instantly indexed multimedia database
`
`system developed for the sport of tennis. Carlbom '335 describes:
`
`Multiple synchronized video streams from eight cameras observing a tennis
`match feed into a domain-specific, real-time tracking subsystem. Two cameras are
`used for player tracking and six cameras are used for ball tracking. The tracking
`subsystem outputs motion trajectories (sequences of spatio-temporal coordinates of
`the players and the ball) to a database.
`The database is continually updated with motion data meshed with other
`dynamic aspects of the environment such as scores ... The database also stores
`static information such as the geometry of the environment, calibration parameters
`of all cameras, and information related to the players, the tournament, and the rules
`of the game.
`
`See Carlbom '335 at page 5.
`
`As discussed during the interview, none of the Carlbom documents teach identifying
`
`an event of an object by applying a new user rule to a plurality of detected attributes,
`
`where those plurality of attributes are detected by analyzing a video from a single
`
`camera (see claim 27). For example, Carlbom '335 clarifies that "LucentVision uses
`
`visual tracking to identify and follow the players using two cameras, each covering one
`
`half of the court" (see page 7, lines 6 and 7). The bottom of page 9 ofCarlbom '335
`
`discusses the use of six cameras for ball tracking.
`
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`Application Serial No. 12/596,116
`Second Supplemental Amendment of February 4, 2011
`
`Customer No. 74,712
`Attorney Docket No. OV-101
`
`It is believed that this application is in condition for allowance, at least for the
`
`reasons given in the Response of October 13, 2010. Favorable consideration and
`
`prompt allowance are respectfully requested.
`
`In the event any fees are required in
`
`connection with this paper, please charge the Deposit Account No. 50-4574. Any
`
`overpayment of fees may be credited to Deposit Account No. 50-4574.
`
`Respectfully submitted,
`
`/Patrick D. Muir/ Reg. #37403
`
`MUIR PATENT CONSULTING, PLLC.
`9913 Georgetown Pike, Suite 200
`Great Falls, VA 22066
`Fax: (703) 757-7447
`
`Patrick D. Muir
`Attorney for Applicants,
`Registration No. 37,403
`Tel: (703) 757-7444
`
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`Electronic Acknowledgement Receipt
`
`EFSID:
`
`Application Number:
`
`9376253
`
`12569116
`
`International Application Number:
`
`Confirmation Number:
`
`7686
`
`Title of Invention:
`
`Video Surveillance System Employing Video Primitives
`
`First Named Inventor/Applicant Name:
`
`Alan J. Lipton
`
`Customer Number:
`
`74712
`
`Filer:
`
`Patrick Daniel Muir
`
`Filer Authorized By:
`
`Attorney Docket Number:
`
`OV-101
`
`Receipt Date:
`
`Filing Date:
`
`Time Stamp:
`
`04-FEB-2011
`
`29-SEP-2009
`
`12:12:04
`
`Application Type:
`
`Utility under 35 USC 111 (a)
`
`Payment information:
`
`Submitted with Payment
`
`I no
`
`File Listing:
`
`Document
`Number
`
`1
`
`Document Description
`
`File Name
`
`12596166_Supp_Amend ment_
`OV_l0l.pdf
`
`File Size(Bytes)/
`Message Digest
`
`Multi
`Part /.zip
`
`Pages
`(if appl.)
`
`99432
`
`yes
`
`17
`
`f5b49bb3e20b932b516d49c9f4787b 12420
`461b6
`
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`Multipart Description/PDF files in .zip description
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`Document Description
`
`Start
`
`End
`
`Supplemental Response or Supplemental Amendment
`
`Claims
`
`Applicant Arguments/Remarks Made in an Amendment
`
`1
`
`2
`
`15
`
`1
`
`14
`
`17
`
`Warnings:
`
`Information:
`
`Total Files Size (in bytes)
`
`99432
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`This Acknowledgement Receipt evidences receipt on the noted date by the USPTO of the indicated documents,
`characterized by the applicant, and including page counts, where applicable. It serves as evidence of receipt similar to a
`Post Card, as described in MPEP 503.
`
`New A~~lications Under 35 U.S.C. 111
`If a new application is being filed and the application includes the necessary components for a filing date (see 37 CFR
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`national stage submission under 35 U.S.C. 371 will be issued in addition to the Filing Receipt, in due course.
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`New International A~~lication Filed with the USPTO as a Receiving Office
`If a new international application is being filed and the international application includes the necessary components for
`an international filing date (see PCT Article 11 and MPEP 181 O), a Notification of the International Application Number
`and of the International Filing Date (Form PCT/RO/1 OS) will be issued in due course, subject to prescriptions concerning
`national security, and the date shown on this Acknowledgement Receipt will establish the international filing date of
`the application.
`
`AVIGILON EX. 2009
`IPR2019-00311
`Page 19 of 20
`
`

`

`PTO/SB/06 (07-06)
`Approved for use through 1/31/2007. 0MB 0651-0032
`U.S. Patent and Trademark Office; U.S. DEPARTMENT OF COMMERCE
`Under the Paperwork Reduction Act of 1995, no persons are required to respond to a collection of information unless it displays a valid 0MB control number.
`PATENT APPLICATION FEE DETERMINATION RECORD
`Application or Docket Number
`Filing Date
`12/569,116
`09/29/2009
`Substitute for Form PTO-875
`
`(cid:143) To be Mailed
`
`APPLICATION AS FILED- PART I
`(Column 1)
`
`(Column 2)
`
`SMALL ENTITY [8J
`RATE($)
`FEE($)
`
`OR
`
`OTHER THAN
`SMALL ENTITY
`
`RATE($)
`
`FEE($)
`
`N/A
`
`N/A
`
`N/A
`
`X $
`
`X $
`
`=
`
`=
`
`N/A
`
`N/A
`
`N/A
`
`OR
`
`X $
`
`X $
`
`=
`
`=
`
`FOR
`
`(37 CFR 1.16(a), (b), or (c))
`
`(37 CFR 1.16(k), (i), or (ml)
`
`(cid:143) BASIC FEE
`(cid:143) SEARCH FEE
`(cid:143) EXAMINATION FEE
`
`(37 CFR 1.16(0), (p), or (q))
`TOTAL CLAIMS
`(37 CFR 1.16(i))
`INDEPENDENT CLAIMS
`(37 CFR 1.16(h))
`
`APPLICATION SIZE FEE
`(37 CFR 1.16(s))
`
`NUMBER FILED
`
`NUMBER EXTRA
`
`N/A
`
`N/A
`
`N/A
`
`N/A
`
`N/A
`
`N/A
`
`minus 20 =
`
`minus 3 =
`
`*
`
`*
`
`If the specification and drawings exceed 100
`sheets of paper, the application size fee due
`is $250 ($125 for small entity) for each
`additional 50 sheets or fraction thereof. See
`35 U.S.C. 41(a)(1)(G) and 37 CFR 1.16(s).
`
`(cid:143) MULTIPLE DEPENDENT CLAIM PRESENT (37 CFR 1.16(j))
`
`* If the difference in column 1 is less than zero, enter "O" in column 2.
`
`TOTAL
`
`TOTAL
`
`APPLICATION AS AMENDED- PART II
`
`(Column 1)
`
`(Column 2)
`
`(Column 3)
`
`SMALL ENTITY
`
`OR
`
`OTHER THAN
`SMALL ENTITY
`
`02/04/2011
`
`RATE($)
`
`RATE($)
`
`CLAIMS
`REMAINING
`f--
`AFTER
`z
`AMENDMENT
`w
`Total (37 CFR
`· 41
`~ 1.16(i))
`0
`z
`Independent
`* 7
`w
`f37CFR 1.16fh\\
`~ D Application Size Fee (37 CFR 1.16(s))
`(cid:143) FIRST PRESENTATION OF MULTIPLE DEPENDENT CLAIM (37 CFR 1.16(j))
`
`HIGHEST
`NUMBER
`PREVIOUSLY
`PAID FOR
`** 41
`***7
`
`PRESENT
`EXTRA
`
`= 0
`= 0
`
`Minus
`
`Minus
`
`<(
`
`(Column 1)
`
`(Column 2)
`
`(Column 3)
`
`ADDITIONAL
`FEE($)
`
`ADDITIONAL
`FEE($)
`
`X $26 =
`
`X $110 =
`
`TOTAL
`ADD'L
`FEE
`
`0
`0
`
`0
`
`OR
`
`X $
`
`OR
`
`X $
`
`=
`
`=
`
`OR
`
`OR
`
`TOTAL
`ADD'L
`FEE
`
`PRESENT
`EXTRA
`
`RATE($)
`
`ADDITIONAL
`FEE($)
`
`RATE($)
`
`ADDITIONAL
`FEE($)
`
`CLAIMS
`REMAINING
`AFTER
`AMENDMENT
`
`HIGHEST
`NUMBER
`PREVIOUSLY
`PAID FOR
`
`*
`
`*
`
`Minus
`
`**
`
`Minus
`
`***
`
`=
`
`=
`
`f--
`z
`Total (37 CFR
`w
`1.16(i\\
`~ Independent
`0
`(37CFR 1.16(hll
`z D Application Size Fee (37 CFR 1.16(s))
`w
`~ (cid:143) FIRST PRESENTATION OF MULTIPLE DEPENDENT CLAIM (37 CFR 1.16(j))
`<(
`
`X $
`
`X $
`
`=
`
`=
`
`OR
`
`X $
`
`OR
`
`X $
`
`=
`
`=
`
`OR
`
`* If the entry in column 1 is less than the entry in column 2, write "0" in column 3.
`** If the "Highest Number Previously Paid For" IN THIS SPACE is less than 20, enter "20".
`*** If the "Highest Number Previously Paid For" IN THIS SPACE is less than 3, enter "3".
`The "Highest Number Previously Paid For" (Total or Independent) is the highest number found in the appropriate box in column 1.
`
`TOTAL
`TOTAL
`ADD'L
`ADD'L
`FEE
`FEE
`Legal Instrument Examiner:
`/JOY DOBBS/
`
`OR
`
`This collection of 1nformat1on 1s required by 37 CFR 1.16. The 1nformat1on 1s required to obtain or retain a benefit by the public which 1s to file (and by the US PTO to
`process) an application. Confidentiality is governed by 35 U.S.C. 122 and 37 CFR 1.14. This collection is estimated to take 12 minutes to complete, including gathering,
`preparing, and submitting the completed application form to the US PTO. Time will vary depending upon the individual case. Any comments on the amount of time you
`require to complete this form and/or suggestions for reducing this burden, should be sent to the Chief Information Officer, U.S. Patent and Trademark Office, U.S.
`Department of Commerce, P.O. Box 1450, Alexandria, VA 22313-1450. DO NOT SEND FEES OR COMPLETED FORMS TO THIS
`ADDRESS. SEND TO: Commissioner for Patents, P.O. Box 1450, Alexandria, VA 22313-1450.
`If you need assistance in completing the form, call 1-800-PTO-9199 and select option 2.
`
`AVIGILON EX. 2009
`IPR2019-00311
`Page 20 of 20
`
`(cid:143)
`