Biometric Sensor System for Adaptive Media Content Delivery
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Solution Overview
Problem
Consumers face challenges in navigating and enjoying media content due to its increasing volume and variability, especially when multiple consumers have differing preferences during simultaneous consumption, as traditional media does not adapt effectively to changing moods or desires in real-time.
Innovation Solution
A system and method that utilize biometric sensors to collect and analyze data on consumers' emotional states, allowing for real-time selection and adaptation of media content, including scene changes and fragment linking based on sensed data, to optimize the viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional media content delivery is used, then content volume increases to provide more choices, but navigation time increases and content cannot adapt to changing consumer needs in real-time
Solution Approach 1:
The system continuously monitors consumer biometric data (heart rate, skin conductance, facial expressions) during media consumption and uses this feedback to dynamically adjust content delivery. This real-time feedback loop enables the system to adapt content to consumer emotional states without requiring manual navigation or selection, thereby reducing navigation time while improving content adaptability.
Solution Approach 2:
The media delivery system automatically selects and adjusts content based on sensed biometric data without requiring consumer intervention. The system serves itself by autonomously making content selection decisions based on real-time physiological measurements, eliminating the need for consumers to manually navigate through content options.
2Adaptability or versatility
If biometric sensing is implemented for real-time content adaptation, then content personalization improves, but system complexity increases
Solution Approach 1:
The system employs multiple biometric sensors (heart rate monitors, skin conductance sensors, facial expression cameras) that can detect various emotional states. These multi-functional sensors capture different physiological parameters that all contribute to determining consumer emotional state, allowing the system to achieve comprehensive content personalization through a unified sensing approach rather than requiring separate specialized systems for each type of detection.
Solution Approach 2:
The patent introduces a biometric data processing intermediary layer that translates raw physiological signals into meaningful emotional state classifications. This intermediary component processes complex sensor data and converts it into simplified control signals for content selection, thereby managing system complexity by creating a buffer between the raw sensing layer and the content delivery layer.
3Measurement precision
If multiple sensors are used to aggregate biometric data, then emotional state detection accuracy improves, but device complexity and cost increase
Solution Approach 1:
The system combines multiple biometric sensors (heart rate, skin conductance, facial expression, body temperature) into an integrated sensing array that simultaneously monitors various physiological parameters. By merging these sensors into a unified system, the patent achieves improved emotional state detection accuracy through multi-parameter monitoring while managing complexity through integrated data processing that correlates signals from all sensors to determine overall emotional state.
Data Source
AI summary
In some embodiments a content delivery system for controlling media content provided by at least one media device for media consumption by at least one consumer is described. In an embodiment the system comprises at least one sensor for sensing body data of the at least one consumer, a receiver for receiving sensed body data from the sensor, a data store storing media content for selection, at least one media device for outputting said selected content to said at least one consumer, and at least one processor configured to query said data store and control the selection of said media content based at least in part on the sensed body data, and control the output of said selected media content to said at least one media device. The sensed body data may indicate the mood or emotional state of the consumer.