Wearable AR Viewing Control for Automatic Device Adjustment
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Solution Overview
Problem
Existing methods for controlling electronic devices indoors require user intervention, which is inconvenient.
Innovation Solution
A wearable device equipped with sensors and neural network models that analyze biometric and environmental data to automatically control external devices based on identified control modes, transmitting control signals through communication interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic control without user intervention is implemented, then convenience is improved, but device complexity increases due to multiple sensors and neural network models
Solution Approach 1:
The wearable device automatically controls external devices by itself without requiring user intervention. The processor analyzes biometric information from sensors and control recommendation information from neural network models to autonomously generate and transmit control signals, making the system serve itself rather than requiring manual operation.
Solution Approach 2:
The wearable device acts as an intermediary between the user and external devices. It receives biometric data from sensors, processes this information through neural network models to determine appropriate control actions, and then transmits control signals to external devices, mediating the interaction without requiring direct user intervention.
2Measurement precision
If multiple sensors and neural network models are used for accurate environment analysis, then control precision is improved, but use of energy increases
Solution Approach 1:
The system uses multiple sensors and neural network models to analyze only the specific biometric information and environmental factors relevant to controlling external devices. Rather than continuously monitoring all possible parameters, the processor focuses on processing biometric information from worn sensors and control recommendation information from the neural network models only when needed for control decisions.
Data Source
AI summary
A wearable device is disclosed. The wearable device may comprise: a display; a first sensor; a second sensor; a communication interface comprising communication circuitry; and a processor. The processor may be configured to: provide augmented reality (AR) content through the display; identify a control mode for a viewing environment of the AR content based on biometric information obtained through the first sensor, and surrounding environment information obtained through the second sensor; acquire control information on at least one external device related to the viewing environment based on the identified control mode; and transmit a control signal for controlling at least one external device to the external device through a communication interface based on the acquired control information.