Gesture Recognition for IoT Trigger Reconfiguration
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Solution Overview
Problem
IoT systems often misbehave by performing functions that users disapprove of, performing them at the wrong time, or in response to incorrect contextual conditions, highlighting the need for an effective mechanism to provide user feedback for reconfiguration.
Innovation Solution
Incorporating a gesture recognition algorithm that analyzes image data to generate user feedback data, allowing the IoT system to reconfigure itself based on user approval or disapproval, thereby adjusting trigger conditions and improving user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the IoT system automatically performs functions based on pre-set conditions, then the system operates autonomously without continuous user input, but the system may misbehave by performing functions that users disapprove of or at the wrong time
Solution Approach 1:
The patent implements a feedback mechanism where the system captures user responses (positive or negative) and uses this information to reconfigure trigger conditions. The processing system receives user feedback, determines whether to reconfigure based on the feedback type, and adjusts the trigger conditions accordingly. This closed-loop feedback allows the system to learn from user interactions and improve its autonomous decision-making accuracy over time.
Solution Approach 2:
The system performs self-reconfiguration based on user feedback without requiring manual programming or external intervention. The processing system automatically determines when reconfiguration is needed, selects appropriate trigger conditions to modify, and updates the system behavior autonomously. This self-service capability enables the system to adapt to changing user preferences while maintaining high-level automation.
2Reliability
If the system continuously monitors and adjusts trigger conditions based on user feedback, then user satisfaction improves, but the system complexity increases
Solution Approach 1:
The patent segments the feedback processing into distinct components: a processing system that receives feedback, a determination module that decides whether reconfiguration is needed, and a reconfiguration module that actually modifies trigger conditions. This segmentation allows each component to handle specific tasks independently, making the overall complex system more manageable and easier to implement while maintaining high user satisfaction through continuous optimization.
3Adaptability or versatility
If the system reconfigures trigger conditions based on user feedback, then the system adapts to user preferences, but the system may perform functions at the wrong time or in response to incorrect conditions
Solution Approach 1:
The patent implements dynamic trigger conditions that can change over time based on user feedback. Instead of static pre-set conditions, the system continuously learns from user interactions and adjusts its trigger logic dynamically. The processing system determines when reconfiguration is needed and modifies trigger conditions accordingly, allowing the system to adapt to evolving user preferences while maintaining contextual accuracy through continuous learning.
Data Source
AI summary
Internet of Things (IoT) systems and related methods are disclosed. A method comprises determining whether a first condition holds, the first condition being a condition of the IoT system, performing a function of the IoT system in response to a trigger, wherein the trigger is a determination that the first condition holds, recognizing a gesture based on image data received from an image sensor, and reconfiguring the IoT system for a future performance of the function based on the user feedback data.