Prosecution Insights
Last updated: October 02, 2026
Application No. 19/154,404

ELECTRONIC DEVICE AND METHOD

Final Rejection §103§112
Filed
Aug 07, 2025
Priority
Feb 24, 2023 — EU 23158553.0 +1 more
Examiner
IP, JASON M
Art Unit
3797
Tech Center
3700 — Mechanical Engineering & Manufacturing
Assignee
Sony Group Corporation
OA Round
2 (Final)
55%
Grant Probability
Moderate
3-4
OA Rounds
2y 8m
Est. Remaining
80%
With Interview

Examiner Intelligence

Grants 55% of resolved cases
55%
Career Allowance Rate
389 granted / 705 resolved
-14.8% vs TC avg
Strong +25% interview lift
Without
With
+25.2%
Interview Lift
resolved cases with interview
Typical timeline
3y 10m
Avg Prosecution
27 currently pending
Career history
733
Total Applications
across all art units

Statute-Specific Performance

§101
4.4%
-35.6% vs TC avg
§103
55.6%
+15.6% vs TC avg
§102
12.6%
-27.4% vs TC avg
§112
26.5%
-13.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 705 resolved cases

Office Action

§103 §112
DETAILED ACTION Notice of 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 . Response to Arguments Applicant's arguments filed 09/08/2026 have been fully considered but they are not persuasive. The 112a rejection is maintained because the citations of Figures 17 and 13 are insufficient, since they only show machine learning being used in a generic and non-specific manner. Claim Rejections - 35 USC § 112 The following is a quotation of the first paragraph of 35 U.S.C. 112(a): (a) IN GENERAL.—The specification shall contain a written description of the invention, and of the manner and process of making and using it, in such full, clear, concise, and exact terms as to enable any person skilled in the art to which it pertains, or with which it is most nearly connected, to make and use the same, and shall set forth the best mode contemplated by the inventor or joint inventor of carrying out the invention. Claim(s) 10, 16 is/are rejected under 35 U.S.C. 112(a) as failing to comply with the written description requirement. The claim(s) contains subject matter which was not described in the specification in such a way as to reasonably convey to one skilled in the relevant art that the inventor or a joint inventor, or for pre-AIA the inventor(s), at the time the application was filed, had possession of the claimed invention. Regarding claims 10 and 16, the claimed machine learning is not described in a way to convey possession because it is described in the disclosure in a generic manner. The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. Claim(s) 1-23 is/are rejected under 35 U.S.C. 112(b) as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor regards as the invention. Regarding claims 1 and 23, it is unclear as to what a, “timed sequence of intended stimuli that describes vestibular stimuli”, actually is. The language is unclear and confusing because it is reciting that some type of stimuli is describing “vestibular stimuli”. It’s not clear how stimuli describes another stimuli. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent may not be obtained though the invention is not identically disclosed or described as set forth in section 102 of this title, if the differences between the subject matter sought to be patented and the prior art are such that the subject matter as a whole would have been obvious at the time the invention was made to a person having ordinary skill in the art to which said subject matter pertains. Patentability shall not be negatived by the manner in which the invention was made. Claim(s) 1-7, 12, 15-23 is/are rejected under 35 U.S.C. 103 as being unpatentable over Chan (US 2010/0112533, of record). Regarding claims 1 and 23, Chan discloses an electronic device comprising circuitry and a method configured to generate a vestibular stimulus based on motion sequences included in control information and to perform vestibular stimulation based on the vestibular stimulus ([0052]: “to deliver current to the vestibular system of the user in response to the control signals”). Chan does not explicitly disclose that each of the motion sequences includes a timed sequence of intended stimuli that describe vestibular stimuli felt during a motion ad that controls the generation of the vestibular stimulus. However, Chan does teach that motion sequences do occur in time, are intentional, and are associated with vestibular stimulation ([0061]…[0065]). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply timed and intentional motion sequences, as to provide an association between a user’s motion and a corresponding vestibular stimulation. Regarding claims 2-6, while Chan does not explicitly disclose that the control information includes timing information, that the motion sequences include information on sequences of intended stimuli that controls the generation of the vestibular stimulus, that motion sequences can be selected by a user input or based on user preference information, and that the motions sequences describe a difficult and/or technical motion and the motion is a sports motion. However, Chan does teach that a user undergoing rehab will have desired motions and that the system of Chan will account for motions which contain ‘timing information’ that will be associated with vestibular stimulation ([0059]: “walking” is a sports motion that may be difficult). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the rehabilitation elements of Chan, as to provide robust association of intended movements and vestibular stimulation. Regarding claim 5, Chan discloses that the circuitry is further configured for the user to perform motion rehearsal and/or accustomization based on vestibular stimulation ([0059]: “provides stimulation to the user to alter or induce the user’s motion. Once the user’s motions are altered, the user’s body may be trained to perform such motions. Such training may be done in a repetitious manner whereby motions are induced over and over after the user is prompted to perform the motions). Regarding claim 7, while Chan does not explicitly disclose that the motion sequences are obtained by inertial measurement of the movement and/or the acceleration of the motion of an athlete, Chan teaches that a user’s motion is accounted for by a variety of inertial sensors ([0047]: “Sensor 220 may be any variety of sensors including accelerometers, strain gauges gyros, MEMS gyros, current sensors, magnetic field sensors, velocity sensors, angular orientation sensors, etc.”). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the measurements of Chan, as to provide accurate and robust measurements of a user’s motion. Regarding claim 12, Chan discloses that the circuitry is configured to track position or posture of a user with body trackers to estimate the pose of the user ([0047]: “Sensor 220 may be any variety of sensors including accelerometers, strain gauges gyros, MEMS gyros, current sensors, magnetic field sensors, velocity sensors, angular orientation sensors, etc.”). Regarding claim 15, Chan does not explicitly disclose that the motion sequences are obtained during a training process in advance. However, Chan does teach acquiring a motion sequence a priori ([0016]). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply a previously obtained motion sequence, as to provide motion data that was acquired in a past session. Regarding claim 16, Chan does not explicitly disclose that motion sequences are obtained by machine learning. The use of machine learning would have been obvious in that it offers enhanced recognition of pertinent signals and patterns. Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply machine learning to a motion sequence, as to provide a robust motion sequence. Regarding claim 17, Chan discloses the circuitry is further configured to cause a video display apparatus to display, to the user, video information associated with the motion sequences ([0062]: “video output”). Regarding claim 18, Chan discloses that the circuitry is further configured to stimulate, with the vestibular stimulus, at least one semicircular canal of the user's vestibular system; or at least one otolithic organ of the user's vestibular system; or at least one semicircular canal and at least one otolithic organ of the user's vestibular system ([0043]: “semicircular canal”, “otolithic”). Regarding claim 19, Chan discloses the circuitry is further configured to stimulate the user's vestibular system by at least one of a direct current stimulation ([0052]: currently is directly applied to the subject). Regarding claim 20, Chan discloses that the circuitry comprises an EEG device or body-tracking means configured to sense the user reaction ([0047]: “Sensor 220 may be any variety of sensors including accelerometers, strain gauges gyros, MEMS gyros, current sensors, magnetic field sensors, velocity sensors, angular orientation sensors, etc.”). Regarding claims 21 and 22, Chan discloses that the circuitry is provided in one or more individual head-mounted casings, or is incorporated into headphones (Fig. 1). Claim(s) 8-11 is/are rejected under 35 U.S.C. 103 as being unpatentable over Chan (US 2010/0112533, of record), as applied to claim 1 above, in view of Ralston (US 2022/0257149, of record). Regarding claim 8, Chan does not explicitly disclose that the vestibular stimulation is a calibrated vestibular stimulation. However, Ralston teaches calibrating electro vestibular stimulation signals that are applied to a subject ([0152]; [0223]: “calibrate EVS pulses of varying amplitudes and frequences to the postural responses they evoke”). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the calibration of Ralston to the system of Chan, as to provide a properly calibrated system. Regarding claims 9 and 10, Chan does not explicitly disclose that the calibration is obtained from a user and/or machine learning. However, Ralston teaches calibrating electro vestibular stimulation signals that are applied to a specific subject ([0152]; [0223]: “calibrate EVS pulses of varying amplitudes and frequences to the postural responses they evoke”). The use of machine learning would have been obvious in that it offers enhanced recognition of pertinent signals and patterns. Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the calibration of Ralston to the system of Chan, as to provide a properly calibrated system. Regarding claim 11, Chan does not explicitly disclose generating vestibular stimulus at various levels of intensity. However, Ralston teaches that vestibular stimuli may be at varying amplitudes and frequencies ([0223]). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the varying levels of intensity as taught by Ralston to the system of Chan, as to provide control over the intensity of current applied to a subject. Claim(s) 13 and 14 is/are rejected under 35 U.S.C. 103 as being unpatentable over Chan (US 2010/0112533, of record), as applied to claim 1 above, in view of Bierer (US 2012/0226187, of record). Regarding claim 13, Chan does not explicitly disclose that the circuitry is configured to further control the generation of the vestibular stimulus based on an eye movement. However, Bierer teaches setting vestibular activation levels based upon recordings of eye movements ([0046]). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the eye movement recording of Bierer to the system of Chan, as to provide robust correlation between eye movement and vestibular stimulation. Regarding claim 14, Chan does not explicitly disclose that the circuitry is further configured to interrupt the stimulation based on the eye movement. However, Bierer teaches setting vestibular activation levels based upon recordings of eye movements, wherein the stimulation is controlled so as to not produce adverse effects, such as vertigo ([0046]). Thus, it would have been obvious to one of ordinary skill in the art before the effective filing date of the present invention to apply the eye movement recording of Bierer to the system of Chan, as to provide robust and controlled vestibular stimulation. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Jason Ip whose telephone number is (571) 270-5387. The examiner can normally be reached Monday - Friday 9a-5p PST. 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, Christopher Koharski can be reached on (571) 272-7230. 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. /JASON M IP/Primary Examiner, Art Unit 3793
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Prosecution Timeline

Aug 07, 2025
Application Filed
Jun 11, 2026
Non-Final Rejection mailed — §103, §112
Sep 08, 2026
Response Filed
Sep 17, 2026
Final Rejection mailed — §103, §112 (current)

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Prosecution Projections

3-4
Expected OA Rounds
55%
Grant Probability
80%
With Interview (+25.2%)
3y 10m (~2y 8m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 705 resolved cases by this examiner. Grant probability derived from career allowance rate.

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