Media Consumption Adjustment Through Multi-Sensor Object-State Detection
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Solution Overview
Problem
Conventional media consumption systems lack the ability to accurately adjust settings based on comprehensive environmental changes detected through multiple internet-of-things devices, often relying solely on device sensor inputs or media content, which limits their adaptability and user convenience.
Innovation Solution
A media guidance application that communicates with network-connected devices to detect changes in sensor states and object statuses, allowing it to determine environmental conditions and adjust media consumption devices accordingly, such as turning on a TV when a car enters the garage or lowering volume when a room is occupied.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems use device sensor inputs to adjust settings, then automatic adjustment is achieved, but the system lacks comprehensive environmental awareness and accuracy
Solution Approach 1:
The patent combines multiple independent sensor systems (IOT devices, cameras, microphones, motion detectors) into a unified media consumption environment that communicates with a central media consumption device. This merging of sensing capabilities across different devices and modalities enables comprehensive environmental awareness and accurate condition detection that exceeds what any single device could achieve alone.
Solution Approach 2:
The media consumption device is designed with multi-functionality, serving both as a media player and as a central hub that receives and processes data from various IOT devices. The system can detect environmental conditions through multiple channels (light sensors, motion detectors, cameras, microphones) and adjust multiple settings (display brightness, audio volume, content selection) based on integrated information from these diverse sources.
2Ease of operation
If manual adjustment is required for media settings, then system simplicity is maintained, but user convenience and adaptability deteriorate
Solution Approach 1:
The system implements self-service by automatically detecting environmental conditions through integrated sensors and autonomously adjusting media consumption settings without requiring user intervention. The media consumption device monitors its own environment through IOT devices and automatically modifies display brightness, audio levels, and content selection based on detected conditions such as ambient light, motion presence, and sound levels.
Solution Approach 2:
The system performs preliminary actions by proactively detecting environmental changes before the user would need to manually adjust settings. For example, the system detects motion or presence of users and pre-adjusts media settings (turning on displays, adjusting volume) before the user arrives or begins consuming media, thereby enhancing convenience through anticipatory automation.
3Reliability
If settings are adjusted based on single device sensors, then response speed is fast, but environmental context and decision accuracy are limited
Solution Approach 1:
The system implements feedback loops where IOT devices continuously monitor environmental conditions and transmit data to the media consumption device, which then adjusts settings and monitors the results. This closed-loop feedback enables the system to refine its environmental understanding over time and make progressively more accurate setting adjustments based on both raw sensor data and interpreted environmental context.
Solution Approach 2:
The media consumption device serves as an intermediary that receives raw data from multiple IOT sensors, processes and integrates this information to determine environmental context, and then translates these contextual understandings into appropriate setting adjustments. This intermediary role allows the system to handle complexity internally while presenting a simple, accurate interface to the user.
4Adaptability or versatility
If multiple IOT devices are integrated for comprehensive detection, then environmental awareness improves, but system complexity increases
Solution Approach 1:
The system divides environmental monitoring functions into separate, specialized IOT devices (light sensors, motion detectors, cameras, microphones) that each handle specific sensing tasks. This segmentation allows each component to be optimized for its specific function while the central media consumption device integrates their outputs, achieving comprehensive environmental coverage without requiring each individual device to be overly complex.
Data Source
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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.