Adaptive Camera Gesture Control via Intent Detection
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Solution Overview
Problem
Existing camera systems require manual adjustments or complex gestures to change camera settings, which can be inconvenient and distracting, especially during activities that occupy the user's hands or attention.
Innovation Solution
Implementing a system that uses intuitive human-readable gestures, such as pointing or snapping, to monitor and respond to user inputs, allowing the camera system to automatically adjust its frame, focus, or perform actions based on detected gestures, without requiring users to learn specific camera control gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments or complex gestures are used to change camera settings, then the camera can be controlled, but the operation becomes inconvenient and distracting especially during activities that occupy the user's hands or attention
Solution Approach 1:
The camera system automatically detects gestures and determines user intent to direct the camera frame without requiring manual adjustment. The system serves itself by monitoring the environment, detecting gestures, and autonomously adjusting camera settings based on the determined intent, eliminating the need for direct user manipulation of camera controls
Solution Approach 2:
The patent replaces manual mechanical camera adjustments with automatic gesture-based control. Instead of physically moving the camera or manually changing settings, the system uses gesture detection and automatic frame adjustment, substituting mechanical operation with automated electronic control based on detected user intent
2Ease of operation
If the camera system automatically adjusts based on gestures, then ease of operation improves, but the device complexity increases due to gesture monitoring and interpretation systems
Solution Approach 1:
The camera system integrates multiple functions into a single unified system: gesture monitoring, gesture detection, intent determination, and automatic frame adjustment all occur within the same camera system. This multi-functionality allows the system to handle various gesture types and contexts without requiring separate dedicated systems for each function
Solution Approach 2:
The system uses an intermediary intent determination process that bridges gesture detection and camera control. Rather than directly mapping gestures to camera adjustments, the system determines user intent as an intermediary step, which simplifies the control logic by working with high-level intent rather than low-level gesture mechanics
3Ease of operation
If intuitive human-readable gestures are used instead of specific camera control gestures, then ease of operation improves, but the difficulty of detecting and measuring gestures increases
Solution Approach 1:
The camera system automatically monitors the environment and detects gestures without requiring user initiation or explicit command. The system self-starts the gesture detection process continuously or near-continuously, automatically processing visual input to identify gestures and determine intent without user intervention
Solution Approach 2:
The system employs feedback mechanisms to improve gesture detection accuracy. By continuously monitoring the environment and comparing detected gestures against known gesture patterns, the system can refine its detection and determination processes, using the outcomes to inform subsequent detection efforts
Data Source
AI summary
The disclosed computer-implemented method for directing adaptive camera systems may include (i) monitoring, via a camera that is part of a camera system, a person within a physical environment, (ii) detecting, by the camera system, a gesture performed by the person, (iii) determining, by the camera system, that the gesture indicates an element of the physical environment, and (iv) performing, by the camera system, an action directed at the element of the physical environment in response to determining, by the camera system, that the gesture indicates the element of the physical environment. Various other methods, systems, and computer-readable media are also disclosed.