Prosecution Insights
Last updated: April 19, 2026
Application No. 18/482,164

PERSONALIZED FITNESS COACH ON A TELEVISION

Non-Final OA §103
Filed
Oct 06, 2023
Examiner
KENNEDY, JOSHUA T
Art Unit
3784
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Google LLC
OA Round
3 (Non-Final)
51%
Grant Probability
Moderate
3-4
OA Rounds
2y 8m
To Grant
99%
With Interview

Examiner Intelligence

Grants 51% of resolved cases
51%
Career Allow Rate
689 granted / 1348 resolved
-18.9% vs TC avg
Strong +48% interview lift
Without
With
+48.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
42 currently pending
Career history
1390
Total Applications
across all art units

Statute-Specific Performance

§101
1.4%
-38.6% vs TC avg
§103
39.5%
-0.5% vs TC avg
§102
33.1%
-6.9% vs TC avg
§112
22.7%
-17.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1348 resolved cases

Office Action

§103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . The text of those sections of Title 35, U.S. Code not included in this action can be found in a prior Office action. Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on 1/23/2026 has been entered. Claims 2 and 16 have been cancelled. Claims 1, 3-15, and 17-22 have been examined. Response to Arguments Applicant’s arguments with respect to the claims have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Claim Rejections - 35 USC § 103 Claims 1, 3-5, 7-15, 17-19, 21, and 22 are rejected under 35 U.S.C. 103 as being unpatentable over King et al (US Patent Application Publication 2018/0036591) in view of Rastegar-Panah (US Patent Application Publication 2018/0293911) 1. King et al disclose a method comprising: rendering, by a television application executing on a smart television (Par. 0099), receiving, by the television application, selected fitness goal criteria (124; Par. 0063-0064) for use in an initial setup of fitness goals for the user (e.g. when a user inputs information regarding their fitness goals to a user profile); sending, by the television application, the selected fitness goal criteria to a server computer (108) communicatively coupled to the smart television for use by the server computer in generating a media content recommendation directed towards achieving the fitness goals of the user (Fig 11: 980); receiving a sequence of selectable information items (“fitness resource(s)”) that correspond to media content items sourced by a plurality of different media content providers based on the media content recommendation (Par. 0189); rendering, by the television application, a second user interface for display on the smart television, the second user interface including a selectable for you fitness option (“fitness prescription”); receiving a selection of the for you fitness option (Par. 0012: “selecting a fitness resource from among a plurality of candidate fitness resources”); and responsive to receiving the selection of the for you fitness option, rendering, by the television application, the sequence of selectable information items (Claim 1). While King et al teach the use of a user’s profile which includes information and attributes related to fitness goals (Par. 0064) which are obtained through user input (Par. 0066) and retrieved by the system such that a user may elect a first workout video block from the collection based on the fitness goal (Abstract), King et al does not explicitly disclose the fitness goal setup option being included on the initial user interface such that a user selects this option to reach a first user interface which displays a list of fitness goal criteria which are selected by a user. Rastegar-Panah discloses a similar adaptive workout program which takes productivity goal inputs from a user to create personalized content for a user for achieving a productivity objective More specifically Rastegar-Panah teaches a computing device having a display which has an initial user interface (Fig 8) on which a user selects a fitness goal setup option (“FitGoals” > ”Get Started”) which provides a first user interface with a list of fitness goal criteria (Fig 10; Par. 0145) which is selectable by a user to establish the desired productivity goals for the user. It would have been obvious to one of ordinary skill in the art at the time of the effective filing date of the invention to modify the method of King et al to include an initial page on the display to allow a user to access a subsequent goals page at which a user can establish goals as taught by Rastergar-Panah to provide a singular interface in which a user can establish, access, and modify goals on a single device. 3. King et al disclose the method of claim 1, wherein information and data received by the server computer from at least one wellness device (Par. 0066) is used along with the selected fitness goal criteria in generating the media content recommendation directed towards achieving the fitness goals of the user (Par. 0069). 4. King et al disclose the method of claim 3, wherein updated information and data received by the server computer from the at least one wellness device is used; and along with the selected fitness goal criteria in generating an updated media content recommendation directed towards achieving the fitness goals of the user (Par. 0069). 5. King et al disclose the method of claim 1, wherein the media content items are classified into at least one category based on the selected fitness goal criteria; and wherein rendering the sequence of selectable information items comprises displaying the sequence of selectable information items in the second user interface for the media content recommendation classified into the at least one category in a cluster (Fig 9). 7. King et al disclose a non-transitory computer-readable medium storing executable instructions that when executed by at least one processor of a server computer cause the at least one processor to execute operations, the operations comprising: receiving, by the server computer (Par. 0099), fitness goal criteria associated with a user (“user profile”; Par. 0064); receiving by the server computer and from a mobile computing device communicatively coupled to the server computer, information and data gathered by the mobile computing device that is indicative of at least one of a physical activity of the user or a wellness state of the user (Par. 0063-0064); determining an initial setup of fitness goals for the user based on the data indicative of at least one of the physical activity of the user or the wellness state of the user, or a combination thereof, and the fitness goal criteria (Par. 0034 and 0189; Fig 11); generating a media content recommendation directed towards achieving the fitness goals for the user (Abstract; “electing a first workout video block from the collection based on both the fitness goal or the exercise constraint and an intensity level or body-region grouping of the selected first workout video block”); selecting media content items from a plurality of media content providers based on the media content recommendation (Par. 0112 and 0189; Fig 11); and sending, by the server computer and to the smart television a sequence of selectable information items that correspond to the media content items for displaying in a user interface of the television application (980; Claim 1; Fig 11). While King et al teach the use of a user’s profile which includes information and attributes related to fitness goals (Par. 0064) which are obtained through user input (Par. 0066) and retrieved by the system such that a user may elect a first workout video block from the collection based on the fitness goal (Abstract), King et al does not explicitly disclose the fitness goal setup option being included on the initial user interface such that a user selects this option to reach a first user interface which displays a list of fitness goal criteria which are selected by a user. Rastegar-Panah discloses a similar adaptive workout program which takes productivity goal inputs from a user to create personalized content for a user for achieving a productivity objective More specifically Rastegar-Panah teaches a computing device having a display which has an initial user interface (Fig 8) on which a user selects a fitness goal setup option (“FitGoals” > ”Get Started”) which provides a first user interface with a list of fitness goal criteria (Fig 10; Par. 0145) which is selectable by a user to establish the desired productivity goals for the user. It would have been obvious to one of ordinary skill in the art at the time of the effective filing date of the invention to modify the method of King et al to include an initial page on the display to allow a user to access a subsequent goals page at which a user can establish goals as taught by Rastergar-Panah to provide a singular interface in which a user can establish, access, and modify goals on a single device. 8. King et al disclose the non-transitory computer-readable medium of claim 7, wherein the operations further comprise providing the information and data indicative of the at least one of the physical activity of the user or the wellness state of the user as training data to an artificial intelligence module (The machine learning module (Par. 163) may be trained to select workouts based on a user’s goal set by profiles/profile elements of the users (Par. 0123-0125) which includes current fitness levels of the user (Par. 142). 9. King et al disclose the non-transitory computer-readable medium of claim 8, wherein generating the media content recommendation directed towards achieving the fitness goals for the user comprises utilizing the artificial intelligence module (Par. 0125). 10. King et al disclose the non-transitory computer-readable medium of claim 7, wherein sending the sequence of selectable information items that correspond to the media content items for displaying in the user interface of the television application further comprises: categorizing the media content items into a plurality of categories; and for each category, sending a sequence of selectable information items that correspond to the media content items in a respective category for display in a respective cluster in the user interface of the television application (Par. 0069-0072). 11. King et al disclose the non-transitory computer-readable medium of claim 10, wherein the plurality of categories are related to plans and activities for achieving the fitness goals for the user (Par. 0069-0072). 12. King et al disclose the non-transitory computer-readable medium of claim 7, wherein the information and data indicative of at least one of the physical activity of the user or the wellness state of the user are first information and data; wherein the media content recommendation is a first media content recommendation; wherein the media content items are first media content items; wherein the sequence of selectable information items that correspond to the media content items are a first sequence of selectable information items that correspond to the first media content items (Figs 9-11); and wherein the operations further comprise: receiving second information and data indicative of at least one of the physical activity of the user or the wellness state of the user; generating a second media content recommendation directed towards achieving the fitness goals for the user based on the second information and data indicative of at least one of the physical activity of the user or the wellness state of the user; selecting second media content items from the plurality of media content providers based on the second media content recommendation; and providing a second sequence of selectable information items that correspond to the second media content items for displaying in the user interface of the television application (Figs 9-11; 0087-0092). 13. King et al disclose the non-transitory computer-readable medium of claim 12, wherein the operations further comprise determining whether the second information and data indicative of at least one of the physical activity of the user or the wellness state of the user indicates an improvement in achieving the fitness goals for the user (Par. 0087-0092). 14. King et al disclose the non-transitory computer-readable medium of claim 13, wherein the operations further comprise based on determining that the second information and data indicative of at least one of the physical activity of the user or the wellness state of the user indicates an improvement in achieving the fitness goals for the user, providing the second information and data indicative of the at least one of the physical activity of the user or the wellness state of the user and the second media content items as training data to an artificial intelligence module (Par. 0087-0092 and 0163). 15. King et al disclose a system comprising: at least one processor; and a non-transitory computer-readable medium storing executable instructions that execute a television application on a smart television (Par. 0099), the television application configured to: receive a selection of a fitness goal setup option (Par. 0064); receive fitness goal criteria from the list of fitness goal criteria for selection by the user for use in an initial set up of fitness goals for the user (124; Par. 0063-0064); send the selected fitness goal criteria to a server computer (108) communicatively coupled to the smart television for use by the server computer in generating a media content recommendation directed towards achieving the fitness goals for the user (Fig 11: 980); receive a sequence of selectable information items (“fitness resource(s)”) that correspond to media content items sourced by a plurality of different media content providers based on the media content recommendation (Par. 00189); render a second user interface for display on the smart television, the second user interface including a selectable for you fitness option (“fitness prescription”); receive a selection of the for you fitness option (Par. 0012: “selecting a fitness resource from among a plurality of candidate fitness resources”); and responsive to receiving the selection of the for you fitness option, render the sequence of selectable information items in the second user interface (Claim 1). While King et al teach the use of a user’s profile which includes information and attributes related to fitness goals (Par. 0064) which are obtained through user input (Par. 0066) and retrieved by the system such that a user may elect a first workout video block from the collection based on the fitness goal (Abstract), King et al does not explicitly disclose the fitness goal setup option being included on the initial user interface such that a user selects this option to reach a first user interface which displays a list of fitness goal criteria which are selected by a user. Rastegar-Panah discloses a similar adaptive workout program which takes productivity goal inputs from a user to create personalized content for a user for achieving a productivity objective More specifically Rastegar-Panah teaches a computing device having a display which has an initial user interface (Fig 8) on which a user selects a fitness goal setup option (“FitGoals” > ”Get Started”) which provides a first user interface with a list of fitness goal criteria (Fig 10; Par. 0145) which is selectable by a user to establish the desired productivity goals for the user. It would have been obvious to one of ordinary skill in the art at the time of the effective filing date of the invention to modify the method of King et al to include an initial page on the display to allow a user to access a subsequent goals page at which a user can establish goals as taught by Rastergar-Panah to provide a singular interface in which a user can establish, access, and modify goals on a single device. 17. King et al disclose the system of claim 15, wherein the information and data received by the server computer from at least one wellness device (Par. 0066) is used along with the selected fitness goal criteria in generating the media content recommendation directed towards achieving the fitness goals for the user (Par. 0069). 18. King et al disclose the system of claim 17, wherein updated information and data received by the server computer from the at least one wellness device is used along with the selected fitness goal criteria in generating an updated media content recommendation directed towards achieving the fitness goals for the user (Par. 0069). 19. King et al disclose the system of claim 15, wherein the media content items are classified into at least one category based on the selected fitness goal criteria; and wherein rendering the sequence of selectable information items comprises displaying the sequence of selectable information items in the second user interface for the media content recommendation classified into the at least one category in a cluster (Figs 9-11; 0087-0092). 21. King et al disclose the system of claim 15, wherein the television application is further configured to: maintain a record of interactions with the media content items; and send, to the server computer, the record of the interactions for use with the selected fitness goal criteria in generating a media content recommendation directed towards achieving the fitness goals for the user (Par. 0183-0185). 22. King et al disclose the method of claim 5, further comprising: receiving, from the server computer, description and information text related to an applicability of the media content recommendation towards achieving fitness goals for the user (Par. 0029); and displaying, by the television application, the description and information text along with descriptive text for the at least one category in the second user interface (Par. 0147). Claims 6 and 20 are rejected under 35 U.S.C. 103 as being unpatentable over King et al in view of Schindler as applied to Claims 1, 3-5, 7-15, 17-19, 21, and 22 above and further in view of Asikainen et al (US Patent Application Publication 2022/0296966). King et al in view of Schindler disclose the method and system significantly as claimed, but do not explicitly disclose wherein the television application includes a plurality of tabbed interfaces; and wherein the method further comprises: presenting the initial user interface in an initial tab of the plurality of tabbed interfaces; presenting the first user interface in a first tab of the plurality of tabbed interfaces; and presenting the second user interface in a second tab of the plurality of tabbed interfaces. Asikainen et al teach a similar method and system which recommends exercises based on user goal inputs. The interface is presented as an initial user interface via a profile tab (top corner of Figs 5-6). The interface also presents a plurality of tabs including a first and second user interface (Figs 6-8 and 15) which organizes the display in an easy to navigate format. It would have been obvious to one of ordinary skill in the art at the time of the effective filing date of the invention to modify the user interface of King et al and Schindler to include a plurality of tabs as taught by King et al to allow the personal training engine to cooperates with the user interface engine for displaying the selected workout program on the display. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOSHUA T KENNEDY whose telephone number is (571)272-8297. The examiner can normally be reached M-F 7a-4:30p MST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, LoAn Jimenez can be reached at (571) 272-4966. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /JOSHUA T KENNEDY/Primary Examiner, Art Unit 3784 2/20/2026
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Prosecution Timeline

Oct 06, 2023
Application Filed
Jun 25, 2025
Non-Final Rejection — §103
Sep 07, 2025
Interview Requested
Sep 15, 2025
Applicant Interview (Telephonic)
Sep 15, 2025
Examiner Interview Summary
Sep 26, 2025
Response Filed
Oct 09, 2025
Final Rejection — §103
Nov 21, 2025
Interview Requested
Dec 02, 2025
Examiner Interview Summary
Dec 02, 2025
Applicant Interview (Telephonic)
Jan 23, 2026
Request for Continued Examination
Feb 18, 2026
Response after Non-Final Action
Feb 20, 2026
Non-Final Rejection — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
51%
Grant Probability
99%
With Interview (+48.0%)
2y 8m
Median Time to Grant
High
PTA Risk
Based on 1348 resolved cases by this examiner. Grant probability derived from career allow rate.

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