Voice-Controlled Camera State Detection
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Solution Overview
Problem
Existing image capturing apparatuses with voice operation functions often misinterpret user intentions due to ambiguous voice inputs, leading to incorrect processing, especially when the device is in different states like shooting, playback, or menu display.
Innovation Solution
A control apparatus that acquires user instructions through voice recognition and determines the current state of the image capturing apparatus, allowing it to perform specific processing based on the state, ensuring that the intended actions are executed correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice operation is implemented to enable complex operations with single voice input, then ease of operation is improved, but reliability deteriorates due to misinterpretation of user intentions
Solution Approach 1:
The system performs preliminary identification of the image capturing apparatus state (shooting, playback, menu display) before executing voice commands. This preliminary action allows the voice recognition unit to pre-adjust recognition conditions based on the current state, ensuring that voice inputs are interpreted in the correct contextual framework before processing occurs.
Solution Approach 2:
The voice recognition conditions are made dynamic rather than static. The system automatically changes voice recognition conditions according to the identified state of the image capturing apparatus. This dynamic adaptation allows the same voice input to be correctly interpreted across different states without requiring users to remember state-specific commands.
2Reliability
If voice recognition conditions are changed according to device state, then reliability is improved, but device complexity increases
Solution Approach 1:
The control unit performs multiple functions using a single integrated system. It simultaneously identifies the apparatus state, determines appropriate voice recognition conditions, and executes voice commands. This multi-functionality avoids the need for separate dedicated systems for each function, thereby managing complexity while achieving reliable state-dependent voice recognition.
Solution Approach 2:
The system implements feedback by continuously monitoring the apparatus state and using this information to adjust voice recognition conditions. The state identification results feed back into the voice recognition process, creating a closed-loop system that automatically adapts to the current operational context, improving reliability without requiring manual configuration.
3Ease of operation
If the system performs processing based on voice input alone, then ease of operation is improved, but accuracy of processing deteriorates due to ambiguous user intentions
Solution Approach 1:
The system adds a new dimension to voice command interpretation by incorporating apparatus state as an additional parameter. Instead of relying solely on the semantic content of voice input, the system now considers the operational state (shooting, playback, menu display) as a second dimension of information. This dimensional expansion allows ambiguous voice inputs to be disambiguated based on contextual state information.
Data Source
AI summary
There is provided a control apparatus. A first acquiring unit acquires a user instruction identified through voice recognition. A determining unit determines a current state of an image capturing apparatus. In response to a first user instruction being acquired as the user instruction, a control unit: controls the image capturing apparatus to perform first processing in a case where the current state is a shooting state; and controls the image capturing apparatus to perform second processing in a case where the current state is a playback/display state or a menu display state.