Media Guidance Control Using IoT Object-Status Detection
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Solution Overview
Problem
Conventional media consumption systems are limited in their ability to adjust settings based on environmental changes beyond the device's sensor inputs or the content being played, lacking a comprehensive understanding of the user's environment.
Innovation Solution
A media guidance application that communicates with IoT devices to detect changes in the environment and determine the status of objects, allowing it to control media consumption devices more accurately by considering both sensor states and object statuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems use embedded sensors within media consumption devices to automatically adjust settings, then the ease of operation is improved, but the measurement precision and environmental understanding are limited to device-level inputs only
Solution Approach 1:
The patent merges multiple independent sensor systems (device-embedded sensors, IoT device sensors, environmental sensors) into a unified monitoring network. This combination allows the system to collect comprehensive environmental data from multiple sources simultaneously, resolving the contradiction by achieving both automated operation and high measurement precision through integrated sensing.
Solution Approach 2:
The system implements multi-functional sensing capabilities where a single unified platform performs diverse functions: detecting environmental conditions, tracking object status, monitoring user presence, and controlling media consumption devices. This universal approach enables the system to maintain automated operation while achieving comprehensive environmental understanding through multiple sensor types working together.
2Adaptability or versatility
If the system monitors only sensor inputs at the device level, then the device complexity is reduced, but the adaptability to user environment changes is insufficient
Solution Approach 1:
The system segments the environmental monitoring function into independent modular components: device-embedded sensors, IoT device sensors, object tracking modules, and environmental sensors. Each segment operates independently but contributes to the overall adaptive capability. This segmentation allows high adaptability through multiple specialized components while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces a media guidance application as an intermediary layer that coordinates between multiple sensor systems and media consumption devices. This mediator processes data from various sources, determines environmental conditions, and translates them into appropriate device adjustments, enabling high adaptability while abstracting the complexity of the underlying sensor network.
3Reliability
If the system uses multiple IoT devices and sensors to determine environmental conditions, then the reliability of environmental assessment is improved, but the loss of time for data collection and processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing environmental data from multiple sensors in the background before explicit user queries. Environmental conditions are assessed and cached in advance, so when control decisions are needed, the system can quickly retrieve pre-analyzed data rather than collecting and processing everything from scratch, thus maintaining high reliability while reducing response time.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors environmental conditions and automatically adjusts media consumption device settings in real-time based on detected changes. This closed-loop feedback reduces the need for extensive data processing at decision points, as the system has already established baseline environmental profiles and can make rapid adjustments based on deviation from those profiles, maintaining reliability while minimizing processing delays.
Data Source
AI summary
Systems and methods are described adjusting a media asset consumption environment based on detected changes in status of an object. For example, a media guidance application may detect a change in setting of a device in a first room and, in response to detecting the change in the setting, may determine the state of an object in the room. Based on the detected change in the setting and of the state of the object, the media guidance application may identify a setting for a media consumption device and may modify setting of the media consumption device so that it is consistent with the conditions defined by the change in the setting and the state of the object.