Proximity Sensor Fusion for Automated Media Device Control
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Solution Overview
Problem
Traditional media devices require users to manually operate them using remote controls or voice commands, leading to a negative user experience due to the need for constant interaction to change content presentation or device settings.
Innovation Solution
Devices and techniques that configure remote controls, media devices, and servers based on user proximity data, using sensors to determine presence or absence, allowing for automated actions such as content streaming, device maintenance, and video chat initiation without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation using remote controls or voice commands is required, then device control functionality is achieved, but user experience deteriorates due to constant interaction needed
Solution Approach 1:
The system enables devices to automatically detect user presence through sensors and autonomously configure settings, stream content, or initiate video chats without requiring manual commands. The device serves itself by making intelligent decisions based on detected presence data, eliminating the need for continuous user interaction.
Solution Approach 2:
The system performs preliminary detection of user presence and pre-configures device states before user interaction is needed. By detecting presence in advance, the system can automatically prepare content streaming, adjust settings, or initiate communications proactively, rather than waiting for manual commands.
2Extent of automation
If sensors are used to detect user presence, then automated device configuration is enabled, but device complexity increases
Solution Approach 1:
The system employs sensors that serve multiple functions: detecting user presence, determining proximity, and triggering various automated responses. By making the sensing system multi-functional, the patent reduces the need for separate specialized sensors for each detection task, thereby limiting the increase in device complexity while maintaining high automation capability.
3Loss of energy
If automated actions are performed based on presence data, then resource usage is optimized, but measurement precision requirements increase
Solution Approach 1:
The system dynamically adjusts detection parameters such as sensitivity thresholds and detection ranges based on contextual information. By changing these parameters adaptively, the system maintains high measurement precision only when necessary for accurate automated decision-making, while optimizing resource usage by reducing detection intensity when precise measurement is not critical.
Data Source
AI summary
Multiple sensors are used to determine proximity of a user with respect to one or more media devices. Different types of sensors may determine different types of information regarding user proximity, such as presence or absence, proximity, distance, orientation, movement, identity, or a number of users that are detected. The information, sensor types, and times at which the information is acquired are used to generate data that associates specific devices, sensor types, information regarding user proximity, and the times at which the information is acquired. Instructions may be provided to various devices to cause performance of actions based on the generated data.