Intelligence Device Eye Tracking User Selection
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Solution Overview
Problem
Intelligence devices face difficulties in distinguishing the intended user from multiple individuals due to simultaneous voice input, leading to potential misinterpretation and incorrect reaction to non-users.
Innovation Solution
An intelligence device that captures images or videos of persons around, analyzes eye blinks, pupil shapes, and hand gestures using AI processing to determine the user's gaze direction and distance, and displays customized information to the selected user, with the option to split the screen for multiple users and recognize specific hand gestures for user selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition is used to identify users, then the device can respond to voice commands, but it cannot distinguish the intended user from multiple people around the device
Solution Approach 1:
The patent combines voice recognition with eye tracking technology to identify users. The capturing unit captures both voice signals and eye images simultaneously, and the processor integrates information from both modalities to determine the intended user, thereby resolving the ambiguity of voice-only recognition in multi-person environments.
Solution Approach 2:
The patent introduces eye tracking as an intermediary mechanism to bridge the gap between voice input and user identification. By capturing eye images and analyzing gaze direction, the system mediates the connection between multiple voice sources and the correct user identity, enabling accurate user distinction.
2Speed
If the device responds to any voice input, then it can maintain responsiveness, but it may react to non-users incorrectly
Solution Approach 1:
The system performs preliminary user identification through eye tracking before processing voice commands. The capturing unit continuously captures eye images, and the processor analyzes gaze direction in advance to pre-identify the intended user, ensuring that subsequent voice responses are directed to the correct person and preventing misresponses to non-users.
3Measurement precision
If eye tracking is added to voice recognition, then user identification accuracy improves, but device complexity increases
Solution Approach 1:
The capturing unit is designed to perform multiple functions: capturing voice signals, capturing eye images, and capturing facial images. This multi-functional design reduces the need for separate dedicated components for each sensing modality, thereby mitigating the increase in device complexity while enabling accurate user identification through combined analysis.
Data Source
AI summary
Disclosed are an intelligence device and a method of selecting a user of the intelligence device. According to an embodiment of the disclosure, the intelligence device may analyze the eye blinks and pupil shapes of persons and select the person gazing at the intelligence device as a user. According to an embodiment, the intelligence device may be related to artificial intelligence (AI) modules, robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.


