Contextual Camera Control Using Voice, Gestures, and Visual Markers
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Solution Overview
Problem
Existing camera control methods require manual interaction, which is cumbersome, especially when recording videos or taking photographs, as they necessitate the use of both hands for holding the device and operating controls.
Innovation Solution
Implementing contextual usage control through modalities such as voice detection, body posture, gestures, gaze direction, and visual markers to allow users to control cameras naturally using voice commands and gestures, without manual operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual interaction with camera controls is used, then precise control of camera functions is achieved, but operational convenience deteriorates as it requires using both hands to hold the device and operate controls
Solution Approach 1:
The patent replaces manual mechanical controls (buttons, knobs, touchscreen) with voice-activated controls. The system uses voice recognition technology to interpret and execute camera control commands, eliminating the need for physical hand operations while maintaining precise control capability. This substitution resolves the contradiction by enabling hands-free operation without sacrificing control precision.
Solution Approach 2:
The system enables self-service operation through voice commands, where the camera system autonomously interprets and executes control actions based on user speech. The voice-activated mechanism allows the system to serve itself by automatically adjusting settings, capturing images, or changing focus without requiring manual intervention, thus improving operational convenience while maintaining control precision.
2Ease of operation
If voice commands and gestures are used for control, then ease of operation improves through hands-free control, but device complexity increases due to multiple sensing modalities
Solution Approach 1:
The patent implements a universal control system that integrates multiple sensing modalities (voice recognition, gesture detection, gaze tracking) into a single cohesive interface. This multi-functional approach allows the system to accept various forms of input and translate them into appropriate camera control actions, improving ease of operation through hands-free control while managing complexity through unified processing architecture.
Solution Approach 2:
The system introduces an intermediary processing layer that translates diverse input modalities (voice, gestures, gaze) into standardized control commands. This intermediary mechanism acts as a mediator between the user's intent and the camera system's execution, simplifying the overall system architecture by providing a single interface layer that handles multiple control methods without proportionally increasing complexity.
Data Source
AI summary
Apparatus, systems, methods, and articles of manufacture are disclosed for contextual usage control of cameras. An example apparatus includes processor circuitry to execute the instructions to: access one or more images from a camera; detect an object in the one or more images; detect a human activity in the one or more images; build a context based on the object and the human activity; create a visual marker on the one or more images; determine a user voice command; determine a control based on the context, the visual marker, and the voice command; and cause a change in one or more of the one or more images based on the control.