Multimedia Recommender Using Biomedical Sensors for Mood Adaptation
Solution Overview
Problem
Media players lack the ability to automatically recommend multimedia files based on a user's mood, relying solely on manual selection.
Innovation Solution
A device and method that utilizes a processor, biomedical sensor, and input device to detect user emotional values and recommend multimedia files by selecting those with emotional values within a preset range, adjusting playback based on physiological data using an Arousal-Valence algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media players rely on manual selection only, then device complexity is reduced, but adaptability to user mood deteriorates
Solution Approach 1:
The media player is enhanced with multiple functions including biomedical sensing capabilities, emotional state detection algorithms, and automated recommendation systems. This allows the device to not only play media files but also monitor user physiological data and autonomously select appropriate content based on detected emotional states, thereby improving adaptability without requiring completely separate systems.
Solution Approach 2:
The system enables the media player to automatically detect user emotional states through biomedical sensors and autonomously recommend and select multimedia files without requiring manual user input. The device serves itself by using its own sensing capabilities and processing algorithms to make content selection decisions, reducing the need for complex external intervention while improving mood adaptability.
2Adaptability or versatility
If automated recommendation system is added, then adaptability to user mood is improved, but ease of operation deteriorates
Solution Approach 1:
The automated recommendation system operates autonomously by continuously monitoring user emotional states through integrated biomedical sensors and automatically selecting appropriate multimedia content. This self-service capability eliminates the need for users to manually search or select content based on their mood, thereby maintaining ease of operation while significantly improving adaptability to user emotional states.
Solution Approach 2:
The system implements a feedback mechanism where biomedical sensors continuously monitor user physiological data, the processor analyzes this data to determine emotional states, and the system automatically adjusts content recommendations based on this feedback loop. This continuous feedback enables the device to adapt to user mood changes in real-time without requiring active user intervention, preserving ease of operation.
3Adaptability or versatility
If biomedical sensor and automated detection are integrated, then adaptability to user mood is improved, but device complexity increases
Solution Approach 1:
The patent combines biomedical sensing capabilities, emotional state detection algorithms, and automated content recommendation functions into a single integrated media player system. By merging these previously separate components into one unified device, the system improves adaptability to user mood while managing complexity through integration rather than requiring multiple separate systems to work together.
Solution Approach 2:
The media player is designed with multi-functionality, incorporating both traditional media playback capabilities and new biomedical sensing and emotional detection functions. This universal design allows the device to perform multiple roles including content playback, physiological monitoring, emotional state analysis, and automated recommendation, thereby improving adaptability without requiring separate specialized devices for each function.
Data Source
AI summary
A multimedia file recommending device capable of matching entertainment file to user mood or state includes an input device to receive emotional value X sensed from or inputted by a user, a storage device, and a processor. The storage device stores multimedia files each associated with an emotional value. The processor selects a multimedia file from the multimedia database according to default rules, wherein a difference between the emotional value associated with the selected multimedia files and the emotional value X falling within a preset range. A multimedia file recommending method is also provided.