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 .
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claim(s) 1 and 18 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Heikkilae (US-20240085453-A1).
Regarding claim 1 and 18, Heikkilae discloses a system (see Fig. 8, paragraph 0046) and a method (method for evaluating sensor data, Abstract) using a probabilistic filter for tracking a state of a device under control, comprising: at least one processor (processor 413, Fig. 9); and at least one memory (The processing unit is configured to receive raw sensor data and/or processed sensor data via the input, subsequently carry out the method according to the present invention with the aid of the processor, paragraph 0009)(processing the method implies algorithm /instructions are saved on a memory) having instructions stored thereon that, when executed by the at least one processor, causes the system to
execute the probabilistic filter over a sequence of control steps (see Fig.1 and Fig. 8)(boundary condition step 315, paragraph 0046-0047) to track a change in the state of the device caused by the control steps, wherein for each of the control steps, the probabilistic filter uses a prediction model (see 310 sensor orientation estimation as the prediction model which subjects to noise as known in the art) subject to prediction noise to estimate a current state of the device and uses a measurement model subject to measurement noise (measurement error is also known as noise) to update the estimate of the current state of the device based on measurements of the state of the device, wherein for at least some of the control steps, the probabilistic filter executes measurement model more times than the prediction model (the input of data stream from 310/311 vs streams from rotation sensor/acceleration sensor 301/302 goes through update stages 304/305 plus wind noise, see Fig. 2 and paragraph0053, indicates more measurement times are performed vs prediction model) ; and
output data indicative of the tracked state of the device (The corrected measured data are subsequently output, Abstract)(correct speed, position and orientation, step 316 in Fig. 8).
Allowable Subject Matter
Claims 2-17 and 19-20 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to HARRY K LIU whose telephone number is (571)270-1338. The examiner can normally be reached on every M-F 10 AM to 6:30 PM.
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/HARRY K LIU/Primary Examiner, Art Unit 3645 Tel: (571) 270-1338
Fax: (571) 270-2338
Email: harry.liu@uspto.gov