AI Model Loading in Human Interface Devices for Adaptive Input
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Solution Overview
Problem
Conventional Human Interface Devices (HIDs) lack the ability to adapt to nuanced user interactions and do not leverage Artificial Intelligence (AI) to provide a responsive and intuitive user experience, limiting their effectiveness in interacting with users.
Innovation Solution
Intelligent HIDs are equipped with sensing capabilities and AI-driven functionalities that analyze user interactions, such as keystroke frequency, velocity, and pressure, to adapt their behavior accordingly, and can operate with or without an Information Handling System (IHS) through enhanced data paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional HIDs are used without AI integration, then device simplicity and ease of manufacture are maintained, but adaptability to user interactions and responsiveness are limited
Solution Approach 1:
The patent merges AI processing capabilities directly into the HID device by integrating a processor and memory with the human interface device. This combination enables the HID to execute AI models locally, allowing it to analyze user interactions and adapt its behavior without requiring external processing, thus resolving the contradiction between adaptability and device complexity
Solution Approach 2:
The patent implements preliminary action by pre-loading multiple AI models into the HID's memory during manufacturing or initialization. These models are prepared in advance for different user profiles and interaction patterns, enabling the device to quickly switch between them based on sensor data without requiring complex real-time model selection or downloading, thereby maintaining relative simplicity while achieving high adaptability
2Productivity
If AI models are loaded into HID memory, then processing capability and user experience are enhanced, but memory usage and device size increase
Solution Approach 1:
The patent applies partial action by loading only the necessary AI models into the HID's memory based on the detected user profile and current task requirements. Rather than storing all possible models, the system selectively loads a subset that is sufficient for the current context, thereby enhancing processing capability while minimizing memory consumption and device size
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting the AI model selection and loading based on varying operational parameters such as user profile, application context, and interaction patterns. This allows the system to optimize between processing capability and memory usage by loading only the appropriately sized models needed for current tasks, rather than maintaining fixed large memory allocations
3Speed
If sensor data is processed locally by the HID, then response time and user experience are improved, but energy consumption increases
Solution Approach 1:
The patent implements segmentation by dividing the AI processing workload into discrete, manageable tasks that are executed locally by the HID's processor. The system segments sensor data processing into specific functions such as gesture recognition, typing pattern analysis, and context detection, allowing the processor to efficiently handle only the necessary computations locally while maintaining fast response times without excessive energy consumption
4Adaptability or versatility
If multiple AI models are stored in the HID, then versatility and adaptability are enhanced, but manufacturing complexity and cost increase
Solution Approach 1:
The patent applies universality by designing the HID with a universal processor and memory architecture that can execute multiple different AI models for various functions such as gesture recognition, biometric authentication, typing analysis, and context-aware input processing. This universal design allows a single device configuration to provide versatile functionality across multiple applications without requiring separate hardware variants, thereby enhancing versatility while simplifying manufacturing
Data Source
AI summary
Systems and methods for handling Artificial Intelligence (AI) models for Human Interface Devices (HIDs). In some embodiments, an HID may include a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the HID to: receive an AI model selection from the user; and in response to the AI model selection, load a corresponding AI model configured to receive raw user input and to produce processed user input.