Context-Aware Media Filtering via Sensor Fusion
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Solution Overview
Problem
Conventional portable computing devices lack effective mechanisms to dynamically filter and control media content based on situational appropriateness and environmental factors, such as the presence of minors or individuals with disabilities, leading to inappropriate content being displayed.
Innovation Solution
The use of sensors like cameras, microphones, GPS, and light sensors to gather data on the environment and users, enabling the device to apply filters, adjust content presentation, and switch between modes based on contextual clues, such as facial recognition, voice recognition, and proximity, to ensure appropriate content is displayed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional portable computing devices display media content without environmental filtering, then content accessibility and user freedom are maintained, but inappropriate content may be displayed to minors or individuals with specific needs
Solution Approach 1:
The system performs preliminary environmental assessment by detecting the presence of minors or individuals with disabilities before content is displayed. Sensors continuously monitor the environment and identify vulnerable individuals, allowing the system to proactively apply appropriate filters before inappropriate content reaches the user, rather than reacting after content is displayed
Solution Approach 2:
The patent introduces an intermediary filtering layer between the media content source and the display output. This intermediary component analyzes environmental data from sensors and selectively blocks or modifies content based on detected conditions, such as presence of minors or individuals with disabilities, without requiring direct user intervention or complex manual controls
2Adaptability or versatility
If sensors and environmental detection systems are added to portable devices, then content filtering and contextual control are improved, but device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent leverages existing multi-functional sensors already present in modern portable devices, such as cameras for facial recognition, microphones for voice analysis, and ambient light sensors for environment detection. By making these existing sensors serve the additional function of content filtering detection, the system achieves contextual adaptability without requiring entirely new sensor hardware or complex manufacturing processes
Solution Approach 2:
The system uses the device's own existing sensors and processing capabilities to perform environmental assessment and content filtering autonomously. The portable device self-monitors its environment using its built-in camera, microphone, and other sensors, then automatically applies appropriate filters without external intervention, reducing the need for additional specialized components
3Reliability
If real-time environmental monitoring and content filtering are implemented, then user safety and appropriate content display are enhanced, but processing time and energy consumption increase
Solution Approach 1:
The system applies partial monitoring by focusing sensor attention and processing resources only when environmental changes suggest potential concerns. Rather than continuously analyzing all sensor data at full resolution, the system selectively activates detailed analysis only when minors or individuals with disabilities are detected or when environmental conditions warrant attention, reducing overall energy consumption while maintaining safety
Solution Approach 2:
The environmental monitoring operates periodically rather than continuously, with the system checking for the presence of vulnerable individuals at regular intervals and adjusting content filters accordingly. This periodic assessment approach maintains user safety through regular monitoring while significantly reducing energy consumption compared to continuous real-time analysis of all sensor inputs
Data Source
AI summary
Approaches are described for controlling and filtering the display of content by computing devices. In particular, a mobile computing device can adjust the playing of media content (e.g., audio, video, images, games, ringtones) according to situational appropriateness and other environmental factors occurring around the device. For example, a mobile computing device such as a smart phone could use image and audio information captured by its sensors to determine that minors are present within the vicinity of the mobile phone, and filter certain portions of media content that would be deemed inappropriate for those minors. The environmental information can be determined based on data gathered by various sensors of the mobile device, including but not limited to cameras, microphones, global positioning system (GPS) devices, light sensors and others.