Attention-Based Camera Selection for Web Conference Viewing
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Solution Overview
Problem
The manual switching of internal and external cameras during web conferences is cumbersome and inefficient, leading to undesirable side views and requiring time and effort, especially when attention shifts between displays.
Innovation Solution
An information processing apparatus with an internal camera, connection unit, memory, processor, and detection unit that automatically selects the appropriate camera based on the positional relationship and direction of attention, using face or sight-line detection to switch between internal and external cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual camera switching is implemented, then camera selection flexibility is improved, but operation complexity and time consumption increase
Solution Approach 1:
The system automatically detects the user's attention direction and selects the appropriate camera without manual intervention. The detection unit monitors where the user is looking, and the processor autonomously switches between internal and external cameras based on this detection, making the system self-regulating and eliminating the need for manual camera switching operations.
Solution Approach 2:
The system continuously monitors the user's attention direction through the detection unit and uses this feedback to dynamically adjust camera selection. The detection of gaze direction or face orientation provides real-time feedback that triggers automatic camera switching, creating a closed-loop control system that adapts to user behavior patterns.
2Adaptability or versatility
If manual camera switching is implemented, then camera selection control is improved, but time consumption increases
Solution Approach 1:
The detection unit continuously monitors the user's attention direction in advance, anticipating when a camera switch will be needed. By detecting changes in gaze direction or face orientation before the user would manually switch cameras, the system proactively prepares and executes camera switching, eliminating the time lag associated with manual operation.
Solution Approach 2:
The system performs automatic camera selection based on detected attention direction, eliminating the need for manual switching operations entirely. This self-service mechanism continuously adapts camera selection to user behavior patterns, significantly reducing the time required for camera switching during web conferences.
3Ease of operation
If automatic camera switching is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The detection unit acts as an intermediary between the user and the camera selection process. Instead of directly manipulating camera settings, the user's natural behavior (gaze direction or face orientation) is detected and translated into automatic camera switching commands. This intermediary layer simplifies user interaction while managing the complexity of automatic camera selection internally.
4Productivity
If automatic camera switching is implemented, then productivity is improved, but measurement precision requirements increase
Solution Approach 1:
The system replaces manual camera switching mechanics with automated detection and control. By using vision-based detection (analyzing face orientation or gaze direction in video feeds) instead of manual controls, the system achieves automatic camera selection that improves productivity while managing measurement precision requirements through sophisticated image processing algorithms.
Data Source
AI summary
An information processing apparatus includes an internal camera, a connection unit configured to connect to one or a plurality of external cameras, a memory configured to temporarily store image data of an image captured by the internal camera or the external camera, a processor configured to perform processing using the image of the image data stored in the memory by executing an application program, and a detection unit configured to detect a direction of attention of an imaged person based on the image captured by the internal camera, in which the processor is configured to perform camera selection processing of selecting a camera for capturing an image to be used for the processing from the internal camera and the external camera, based on a positional relationship between the internal camera and the external camera and on the direction of attention of the person detected by the detection unit.