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Firebreaker-2.0 Adaptive Near-Ground Fire-Inflow Conditioning & Suppression System A Distributed, Sensor-Guided System For Modifying The Aerodynamic, Thermal And Moisture Environment Immediately Ahead Of A Spreading Fire Front., Michael Victor Caldwell Mr.
Firebreaker-2.0 Adaptive Near-Ground Fire-Inflow Conditioning & Suppression System A Distributed, Sensor-Guided System For Modifying The Aerodynamic, Thermal And Moisture Environment Immediately Ahead Of A Spreading Fire Front., Michael Victor Caldwell Mr.
Defensive Publications Series
FIREBREAKER-2.0 is an experimental wildfire-suppression platform designed to investigate whether actively controlled near-ground airflow, combined with spatially controlled water delivery, can modify the environment through which a spreading fire advances.
Rather than relying exclusively on direct flame attack, FIREBREAKER establishes a controlled conditioning field between the suppression system and the advancing fire.
Each mobile module combines:
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high-volume directional airflow,
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controlled water delivery,
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interchangeable spray characteristics,
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thermal imaging,
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airflow measurement,
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temperature and humidity sensing,
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heat-flux measurement,
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fuel-temperature measurement,
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water-flow measurement,
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synchronized data acquisition,
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and adaptive control.
Multiple modules operate as a coordinated array.
The system continuously measures the fire-front position, propagation …
Pulsed Prochot Power Orchestration And Protection Algorithm For Amd* Processors, Hp Inc
Pulsed Prochot Power Orchestration And Protection Algorithm For Amd* Processors, Hp Inc
Defensive Publications Series
This disclosure relates to the field of processor power management and electrical protection in mobile computing systems. A system control technique is disclosed that uses a dynamically pulsed PROCHOT signal to communicate proportional power reduction requirements to processor management logic. The duty cycle of the pulsed signal is adjusted according to the relationship between platform power demand and available battery power capability. In conventional systems, an infrastructure protection event may cause a PROCHOT signal to be asserted continuously. A continuously asserted signal is typically interpreted as a request for aggressive throttling. Processor frequency may therefore be reduced to a minimum …
Multi-Agent Autonomous Laboratories, Xavier Pillet
Multi-Agent Autonomous Laboratories, Xavier Pillet
Defensive Publications Series
This document, produced with the assistance of ChatGPT o3, Claude Opus 5 and Gemini 3.6 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It releases into the public domain 113 inventions covering autonomous laboratories and their multi-agent artificial intelligence systems: hardware safety and …
Governed Per-Tenant Knowledge Store For Ai-Assisted Security Incident Analysis, With Adversarial Verification And Customer Dispute Veto, Alpenshield Gmbh
Governed Per-Tenant Knowledge Store For Ai-Assisted Security Incident Analysis, With Adversarial Verification And Customer Dispute Veto, Alpenshield Gmbh
Defensive Publications Series
A multi-tenant security operations platform maintains, for each customer tenant, a store of discrete environment facts that are compiled into a briefing consumed by an AI analysis pipeline for every security incident. Facts carry provenance classes, lifecycle states, evidence counters, validity windows, and stable natural keys. Facts learned automatically from closed incidents pass a two-stage verification: an adversarial language-model pass checks that every concrete identifier in a candidate fact appears verbatim in the incidents it cites, and a deterministic set check validates the citations themselves. Failing candidates carry a machine-readable quarantine annotation naming each unsupported identifier. Activation requires a minimum …
Gpu Ray Tracing And Di!Erentiable Multi-Physics Innovations, Xavier Pillet
Gpu Ray Tracing And Di!Erentiable Multi-Physics Innovations, Xavier Pillet
Defensive Publications Series
This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). Description: defensive publication covering enabling inventions around GPU/RT-core ray tracing, differentiable simulation, experimental validation, interoperability (standards), operational security, sustainability, and cross-domain applications (RF/LiDAR/IR/acoustics/seismology/climate/nuclear/biophotonics/medical), …
Model-Agnostic Search-Augmented Llm Pipelines For Production-Scale Company Data Validation, Enrichment And Normalization, Hp Inc
Defensive Publications Series
This paper presents a vendor-agnostic, search-augmented large language model (LLM) pipeline that validates, enriches, and normalizes company records using grounded information from public web sources. The pipeline addresses enterprise requirements for official names, addresses, tax identifiers, revenue, industry classifications, and related compliance metadata where manual validation, database lookups, and rule-based integration pipelines struggle with incomplete, inconsistent, multilingual, and region-specific inputs. The architecture uses a central control framework to orchestrate native-search and tool-calling web-enabled LLM providers under production constraints, including context limits, tokens-per-minute (TPM), requests-per-minute (RPM), maximum batch size, concurrency, incomplete outputs, safety filtering, and provider-specific response formats. It combines batch-admission …
Resource-Constrained Multiprocessing Packet Pipeline With Shared Configurable Elements, N/A, N/A
Resource-Constrained Multiprocessing Packet Pipeline With Shared Configurable Elements, N/A, N/A
Defensive Publications Series
A subsystem for network packet processing uses a pool of shared, configurable processing resources. The architecture includes these shared processing elements, a centralized event processing engine, and a partitionable shared memory. The event processing engine accumulates events from the packet pipeline and forwards them as tasks to the processing elements. These elements, which may be implemented as microcode sequencers, execute writable microcode firmware to perform logical and arithmetic operations and handle interrupts independently of a central processing unit. The processing elements access the shared memory to exchange state and packet data between processing stages. This approach improves resource utilization and …
Neuromorphic Soft Swarm Robotics, Xavier Pillet
Neuromorphic Soft Swarm Robotics, Xavier Pillet
Defensive Publications Series
This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It discloses enabling systems and methods combining soft actuation (HASEL/EAP), event-based vision (DVS), neuromorphic computing (SNN), and swarm intelligence, covering devices/sensors, closed-loop control, …
Memory-Based Lock-Free Inter-Process Communication, Vlad Popa, Andy Hung, Atneya Nair, Mikhail Naganov, Shunkai Yao, Eric Laurent, Jean-Michel Trivi
Memory-Based Lock-Free Inter-Process Communication, Vlad Popa, Andy Hung, Atneya Nair, Mikhail Naganov, Shunkai Yao, Eric Laurent, Jean-Michel Trivi
Defensive Publications Series
A lock-free inter-process communication (IPC) system can utilize shared memory to broadcast system events from a single writer process to multiple reader processes. The system employs a shared memory circular queue and an atomic sequence counter that increments before and after write operations, allowing readers to determine if an active write is occurring. By calculating an active queue index using the sequence counter, reader processes can safely access previously committed historical state data without blocking or busy-waiting. This non-blocking architecture prevents IPC message queue overflows for frozen or suspended background applications, eliminates priority inversion, and avoids the thundering herd problem …
Adaptive Control Of A Media Environment Using Synchronized Physiological Data, Rohit Jain
Adaptive Control Of A Media Environment Using Synchronized Physiological Data, Rohit Jain
Defensive Publications Series
Media environments can operate without awareness of a user's physiological state, and some integration methods may be limited by factors such as high-latency cloud processing or simplistic control actions. A system is described that can establish a low-latency communication channel between one or more wearable devices, such as a smart watch or fitness tracker, and a media playback system, for example, a smart television or streaming device. With appropriate user consent, physiological data, such as heart rate variability and electrodermal activity, can be transmitted from the wearable device and processed locally on the media system. Based on this real-time analysis, …
Context-Aware Personalization, Kate Strudwick, Zoe Schladow
Context-Aware Personalization, Kate Strudwick, Zoe Schladow
Defensive Publications Series
This disclosure describes an automated process for transparent algorithmic profiling and data shaping that allows an individual to actively curate environmental and physiological data to dynamically guide and personalize machine learning models. By moving beyond rigid history logs or binary input structures, the techniques of the disclosure enable a traceable, user-directed taste profile that maps real-world context onto digital preferences and actively seeds future recommendation behaviors to counteract algorithmic flattening. The disclosed system helps Artificial Intelligence (AI) models, including foundation models, generative AI models, and/or large language models (LLMs), capture and interpret multifaceted human data streams to accurately personalize user …
The Dynamic Schema Generation With Error-Triggered Renegotiation For Agent-Tool Binding, Nicolas Zimmermann, Isaac Leimgruber
The Dynamic Schema Generation With Error-Triggered Renegotiation For Agent-Tool Binding, Nicolas Zimmermann, Isaac Leimgruber
Defensive Publications Series
Some methods for binding autonomous agents to external tools can rely on static interface schemas, which may be inefficient, for example, by consuming large context windows, and can be brittle to changes in a tool's application programming interface. A system is described where an agent can transmit a semantic intent describing a desired task outcome. In response, one or more tool providers can dynamically generate a minimal, task-specific interface specification tailored to that intent. The system can also feature an error-triggered renegotiation mechanism, allowing an agent to report an execution failure, which prompts the provider to generate and resubmit a …
Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij
Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij
Defensive Publications Series
A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …
Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma
Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma
Defensive Publications Series
Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media …
A Generative System For Real-Time Audio Dubbing With Voice And Emotion Transfer, Dev Daftari, Harsh Rajotiya
A Generative System For Real-Time Audio Dubbing With Voice And Emotion Transfer, Dev Daftari, Harsh Rajotiya
Defensive Publications Series
Systems and methods are disclosed for real-time media localization that may address potential scalability and fidelity limitations of some conventional approaches. A technical solution may involve a multimodal generative pipeline, which can be implemented on a hybrid edge-cloud architecture. For example, a system can separate dialogue from background audio on a client device (e.g., a smartphone, smart television, personal computer, wearable device, or augmented reality glasses). The isolated dialogue may then be processed to transcribe speech to text and to extract paralinguistic features, such as vocal timbre and emotional tone. This information may be processed by a large language model …
Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma
Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma
Defensive Publications Series
Watching two-dimensional (2D) media in extended reality can involve static virtual environments that may not be contextually linked to the content being viewed, which can reduce immersion. Systems and techniques are described for dynamically generating a 360-degree virtual environment from a 2D media stream. A system may analyze a buffer of video frames using computer vision methods to extract scene context, including three-dimensional geometry and lighting information. This extracted data can then be used as a seed for a generative artificial intelligence model to perform spatial outpainting, extending the original 2D scene into a volumetric environment. This process can transform …
Visual Indicators For Voice Access Application Windows And User Interface Components, Katherine Nelle Dektar, Mariah Sigourney Moon, Qian Yan
Visual Indicators For Voice Access Application Windows And User Interface Components, Katherine Nelle Dektar, Mariah Sigourney Moon, Qian Yan
Defensive Publications Series
This publication describes a new accessibility feature for devices like smartphones, tablets, and computers that makes hands-free navigation and voice control much easier to use. When a person uses spoken audio input or speech commands to operate their device while multiple windows are open, it can be confusing to know exactly which app or screen they are controlling. To solve this, the device automatically figures out which application windows are unoccluded by other application windows on the screen and draws a bright, colorful border (like an accessibility focus ring) around them. This primary visual indicator shows the user exactly where …
Handling Delayed Esim Transfer Via Sm-Ds Push Notification, Chen Xu, Jack Yu, Amruth Ramachandran
Handling Delayed Esim Transfer Via Sm-Ds Push Notification, Chen Xu, Jack Yu, Amruth Ramachandran
Defensive Publications Series
This publication describes an alternative framework for managing delayed embedded Subscriber Identity Module (eSIM) transfers on mobile devices that avoids needing a carrier’s Entitlement Configuration Server (ECS) to manage cloud messaging tokens. During a delayed transfer, a carrier’s Subscription Management Data Preparation (SM-DP+) server notifies a Subscription Management Discovery Service (SM-DS) server when an eSIM profile becomes available. The SM-DS server then triggers a cloud messaging push notification to the mobile device’s Local Profile Assistant (LPA). To ensure a seamless user experience the LPA hides the raw push notification from the user interface. Upon receiving this hidden push notification, the …
System For Mitigating Electronic Pickpocketing In Contactless Payment Cards, Mahendra Yadav
System For Mitigating Electronic Pickpocketing In Contactless Payment Cards, Mahendra Yadav
Defensive Publications Series
The present disclosure provides hardware solutions for mitigating electronic pickpocketing in contactless payment cards. A smartcard includes an antenna shorting circuit placed across antenna terminals and driven by OR control logic so any proximity or pocket sensor can automatically short the antenna loop, and a series antenna clipping switch placed in the antenna feed and gated by AND control logic requiring deliberate dual pad touch to enable contactless operation. The designs use ultra-low-power capacitive touch sensors, RF-grade semiconductor switches or bilateral analog switches, and CMOS logic to preserve card form factor and contact functionality. The designs prioritize passive or energy …
The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet
The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet
Defensive Publications Series
This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …
Execution-Mode-Dependent Enforcement Of Version-Bound Consent For Delegated Recurring Automation, Alexander Bering
Execution-Mode-Dependent Enforcement Of Version-Bound Consent For Delegated Recurring Automation, Alexander Bering
Defensive Publications Series
Disclosed is a species-level arrangement in which one participant's consent to run another participant's shared, versioned automation artefact is bound to the artefact version consented to, and in which the strength with which that binding is enforced depends on how the run was initiated. For machine-initiated recurring runs, the executing component re-checks the recorded version mark itself, unconditionally, before every run; a mismatch does not fail the individual run but moves the standing arrangement into a durable, named parked state in which it never fires again until a human acts. For human-initiated runs, the same mismatch is surfaced only against …
System And Method For Ai-Generation And Personalized Music Playback In Social Venue Environments, Eric Zavesky, Miguel A. De La Lama
System And Method For Ai-Generation And Personalized Music Playback In Social Venue Environments, Eric Zavesky, Miguel A. De La Lama
Defensive Publications Series
A system and method for generating and playing personalized music in a venue setting from multi-modal patron input. The system comprises a multi-modal input interface that accepts musical preferences, narrative text, voice, visual content, and social media links through QR-code-accessed mobile web, kiosk, and voice channels, fusing said inputs into a unified generation request. An AI music generation engine employs a progressive generation pipeline that begins generating preliminary musical content during input collection and refines iteratively as additional input arrives, producing complete songs with lyrics, melody, arrangement, and production. A venue audio integration module queues and plays generated songs through …
Device Platform-Aware, Closed-Loop Resource Scheduling And Handover Management In A Cellular Network, Fernando Selma, Francis Bourque, Hung Tsang, Jibing Wang, Alex Gorokhov
Device Platform-Aware, Closed-Loop Resource Scheduling And Handover Management In A Cellular Network, Fernando Selma, Francis Bourque, Hung Tsang, Jibing Wang, Alex Gorokhov
Defensive Publications Series
Cellular network architectures lack visibility to device-level or application-level states and cross-device awareness. Consequently, network scheduling, resource allocation, and handover are purely reactive and inefficient. This document describes techniques for closed-loop platform-driven resource allocation and proactive mobility management. Per the techniques described herein, a platform coordination server that operates independently of the RAN of the 3GPP cellular network receives UE-level telemetry data that includes application-level demand, location and velocity, and sends an aggregated traffic (or demand) forecast to the network for each cell. The platform coordination server converts a confirmed network resources scheduling plan prepared by a gNB to application …
Zero-Shot Widget Configuration Via Natural Language Query, Ant Oztaskent, François Deschênes
Zero-Shot Widget Configuration Via Natural Language Query, Ant Oztaskent, François Deschênes
Defensive Publications Series
Setting up a helpful tool on a phone or computer screen, like a live tile or weather display, usually takes too many steps. This publication describes a new, automated system that lets a user simply type or speak what they want, such as “weather in London,” and the device handles the rest. By acting as a smart broker (e.g., a multi-tier routing system), the system automatically finds the right application, places a live widget, glanceable, or dynamic home screen applet on the screen, and sets up the widget perfectly without any extra tapping from the user. If a matching application …
Dynamically Adjustable Photoplethysmography Geometry Based On Perfusion Index And Motion Profile To Balance Accuracy And Power Efficiency, Hamed Vavadi, Kaiyuan (Kai) Yao, Chintan Trehan
Dynamically Adjustable Photoplethysmography Geometry Based On Perfusion Index And Motion Profile To Balance Accuracy And Power Efficiency, Hamed Vavadi, Kaiyuan (Kai) Yao, Chintan Trehan
Defensive Publications Series
Wearable photoplethysmography (PPG) sensors detect a small pulsatile signal against a large non-pulsatile background. The signal quality varies widely across users, activities, and conditions. This publication describes systems and techniques in which the optical geometry of a PPG sensor is adjusted during operation to balance signal quality against power consumption. A voltage-controlled film, for instance, over an emitter and a photodetector changes an effective aperture, and thereby the depth of light penetration and the perfusion index, without moving parts. A control system uses a perfusion index and a motion level to select the aperture size produced by the voltage-controlled film. …
Risk Manager Predictive Fraud Futures, Gayathri U, Sitaram Panigrahi
Risk Manager Predictive Fraud Futures, Gayathri U, Sitaram Panigrahi
Defensive Publications Series
The present disclosure relates to a system and method for predicting merchant-level fraud spikes in payment transaction networks using Temporal Graph Neural Networks (TGNN). The present disclosure suggests receiving historical payment transaction data associated with a plurality of transactions. The present disclosure also suggests generating, from the historical payment transaction data, a plurality of heterogeneous transaction graphs representing transaction relationships across one or more time intervals. Node feature representations and edge feature representations are generated for the heterogeneous transaction graphs based on the transaction data. Subsequently, the present disclosure suggests determining node-specific temporal context information using transaction timestamps associated with …
System For Orchestrating Multi-Modal Generative Pipelines For State-Consistent Interactive Environments, Parnika Singhal, Chirag Saini, Nilanjana Thakur
System For Orchestrating Multi-Modal Generative Pipelines For State-Consistent Interactive Environments, Parnika Singhal, Chirag Saini, Nilanjana Thakur
Defensive Publications Series
Generative systems for dynamic interactive environments may face technical challenges related to maintaining logical consistency and narrative coherence, sometimes referred to as state drift. A computer-implemented system, such as a server or cloud computing platform, can utilize an orchestration layer to coordinate multiple specialized generative pipelines, for example, for narrative, visuals, and audio. A technique can involve constraining a generative language model to output a structured data object that separates a persistent world state vector from an ephemeral narrative payload. The persistent state vector can be reinjected into the model on subsequent turns to help maintain long-term coherence, while metadata …
Host No-Op Mode, Hp Inc
Host No-Op Mode, Hp Inc
Defensive Publications Series
There are various attack vectors over USB such as injecting malware, HID spoofing, juice jacking etc. This issue can be mitigated by disabling the USB for good, leaving the functionality over USB unavailable to the user. This problem is more prominent for gadgets/peripherals like chargers/charging cables, storage devices (thumb drives/hard disks), mice/Keyboard etc. connected to the host via USB.
Orientation-Based Eye Safety Control For Floor-Facing Optical Sensors In Mobile Robots, Hp Inc
Orientation-Based Eye Safety Control For Floor-Facing Optical Sensors In Mobile Robots, Hp Inc
Defensive Publications Series
An orientation-dependent control system for floor-facing optical modules in a mobile ground vehicle is described. An orientation sensor supplies pitch and roll, or equivalent gravity-vector information, to a controller. If the vehicle remains outside a permitted orientation for a validation period, the controller disables, disconnects, or reduces optical emission. Normal operation is restored after the vehicle returns to a permitted orientation for a recovery period. The arrangement reduces unintended direct exposure during lifting, carrying, servicing, or transport and can reduce power use while the modules are not needed.
Intent-Aware Human Motion Interpretation, Hp Inc
Intent-Aware Human Motion Interpretation, Hp Inc
Defensive Publications Series
The central challenge of camera-based gesture input in video meetings is distinguishing deliberate interaction gestures from the natural hand motion that accompanies speech. This paper describes a system that meets that challenge through an intent classification engine evaluating kinematic, temporal, postural, spatial, and speech-aligned features over sliding temporal windows. Qualified gestures pass to a gesture-to-structure transformation pipeline that produces clean, labelled diagram elements—not freeform ink—and renders them as first-class shared content within the conferencing platform, visible to all participants in real time, without requiring specialised hardware.