Patent Reader
FreeA structured patent viewer built for patent professionals. Enter any patent number and get claim dependency trees, reference numeral mapping, figure bounding boxes, and multi-term search.
Learn moreOA Response Agent
Upload your Office Action and let AI analyze every rejection, read the cited prior art, and recommend argue-or-amend strategies. Every conclusion cites a specific passage you can verify yourself.
Learn morePatent tools built for patent work
Most patent tools are built by software companies that treat patents like any other document. The result is generic viewers, generic AI, and workflows that don't match how prosecution actually works.
Solve This OA For Me is built specifically for patent prosecution. The patent viewer understands claim dependencies, reference numerals, and figure annotations. The OA agent reads the actual cited prior art, follows the examiner's specific paragraph and column citations, and maps claim elements to references — the same mechanical work you do before you can start thinking about strategy.
Patent Reader
Enter a patent number like you would on Google Patents — but get claim dependency trees, reference numeral mapping, figure bounding boxes, and multi-term search. Free, no account required.
Claim dependency trees
Independent and dependent claims in a collapsible tree. See which claims depend on which at a glance, click any node to jump to the claim text.
Reference numeral mapping
Every reference numeral extracted with its description and occurrence count. Click any numeral to cross-highlight it in the text, figures, and sidebar — or expand it to browse each occurrence with surrounding context.
Figure bounding boxes
Reference numerals overlaid on patent figures as clickable boxes. Select a numeral in the text and see it on the drawing.
Multi-term search
Search for multiple terms at once, each color-coded. Browse occurrences by section with case-sensitive and whole-word matching.
Any patent number
US, EP, CN, JP, KR, PCT, and more. Paste a patent or publication number and get the full document instantly.
Methods and systems for detecting head location and orientation using sensor data
Abstract
A method for detecting head location and orientation using a sensor array 102 and processing unit 104. The system generates a depth map and applies machine learning models to determine position and orientation in real time.
Description
The present invention relates to methods and systems for detecting head location and orientation using sensor data.
In various applications, such as virtual reality, augmented reality, and human-computer interaction, it is desirable to accurately track the position and orientation of a user's head.
FIG. 1 illustrates an exemplary system 100 for head tracking. The system 100 includes a sensor array 102 and a processing unit 104 connected via a data bus 106.
The sensor array 102 comprises one or more depth sensors configured to capture three-dimensional point cloud data of a scene. In one embodiment, the sensor array 102 includes a structured-light depth camera operating at a frame rate of at least 30 Hz.
The processing unit 104 receives the point cloud data via the data bus 106 and generates a depth map representing the spatial distribution of surfaces in the captured scene. The depth map is stored in a frame buffer for subsequent processing.
FIG. 2 illustrates a convolutional neural network architecture used by the processing unit 104 to determine head position and orientation. The network receives the depth map as input and outputs a six-degree-of-freedom pose estimate comprising three translational and three rotational components.
Prior to inference, the system performs a calibration procedure in which the sensor array 102 captures a series of reference frames under controlled lighting conditions. These reference frames are used to compute intrinsic and extrinsic camera parameters stored in a calibration table.
Claims
A method for detecting head location and orientation, the method comprising: receiving, by a processor, image data from a sensor array 102; generating a depth map...
The method of claim 1, wherein the sensor comprises a depth camera configured to capture infrared structured light patterns.
The method of claim 1, further comprising calibrating the sensor based on ambient lighting conditions.
OA Response Agent
Upload your Office Action and your application. The AI reads the cited prior art, maps each claim limitation to the examiner's cited evidence, and recommends whether to argue or amend.
Reads the actual prior art
Follows the examiner's specific paragraph and column citations to the relevant passages. Checks whether they actually teach what the examiner says.
Maps claim elements to references
For every rejection, maps each claim limitation to the passage the examiner relies on. For combinations, shows which element comes from which reference.
Argue or amend recommendations
Looks for arguments first. Suggests amendments only when arguing alone isn't enough. You get draft argument language and suggested claim amendments with spec support.
Every step is visible
See which document is being read, which passage is being analyzed, which conclusion is being drawn. Click any citation to jump to the source and check it yourself.
All rejection types
Novelty, obviousness, subject matter eligibility, written description, definiteness — and their equivalents at the EPO, CNIPA, JPO, KIPO, and PCT.
Conversational
Ask follow-ups. Drill into a specific rejection. Ask it to check a particular passage or draft an argument for a specific limitation. Use it like a research assistant.
Pricing
Pricing
One Office Action response typically takes 4-8 hours. At attorney billing rates, the tool pays for itself after a single use.
Patent Reader is free. No account required.
The pricing below applies to the OA Response Agent.
Day Pass
Try it on a real Office Action before committing.
- All features included
- 24-hour access
- Cancel anytime
Individual
For patent attorneys and agents handling their own caseload.
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All features mentioned above:
- Prior art reading and citation verification
- Argue/amend recommendations with draft language
- Claim element mapping to references
- Antecedent basis checking
- Unlimited OA analyses
- All file formats (PDF, DOCX, images, text)
- Full conversation history
- Email support
Fair use policy applies. Designed for individual practitioner workloads.
Team
For prosecution teams that want shared workflows and support.
- Everything in Individual
- Multiple seats
- Higher usage limits
- Shared sessions across your team
- Dedicated onboarding
- Priority support