Adaptive Music Playback Using Activity-Based Song Segmentation
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Solution Overview
Problem
Existing audio playback systems fail to dynamically adjust music playback to match the user's activity level, leading to mismatched audio intensity and user experience.
Innovation Solution
The system plays audio tracks, retrieves composition rules, and uses sensor data to determine user activity levels, adjusting the playback to achieve a target song intensity by controlling audio tracks or transitioning between song segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system plays fixed audio tracks without dynamic adjustment, then the device complexity is reduced, but the adaptability to user activity level deteriorates
Solution Approach 1:
The system pre-processes audio tracks by segmenting them into portions with different intensity characteristics and pre-establishes composition rules for transitioning between segments. This preliminary preparation enables real-time adaptability without requiring complex processing during playback, as the system only needs to select and concatenate pre-prepared segments based on detected activity levels.
Solution Approach 2:
Audio tracks are divided into multiple segments with varying intensity levels (e.g., low intensity, medium intensity, high intensity portions). This segmentation allows the system to dynamically assemble different combinations of segments to match user activity levels, providing adaptability while keeping individual segment processing simple.
2Adaptability or versatility
If the system dynamically adjusts audio playback to match user activity level, then the adaptability improves, but the processing time increases
Solution Approach 1:
The system performs intensive processing beforehand by segmenting audio tracks and pre-determining transition rules between segments. During actual playback, the system only needs to detect activity level and select appropriate pre-prepared segments, dramatically reducing real-time processing time while maintaining high adaptability.
Solution Approach 2:
The system dynamically adjusts playback by selectively activating different audio segments based on real-time activity detection. This dynamic selection approach allows rapid response to changing activity levels without requiring complex real-time analysis or processing of entire tracks.
3Measurement precision
If the system uses sensor data to determine user activity level, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The system employs a multi-functional sensor module that can detect various types of motion and activity data using the same hardware infrastructure. This universal sensor approach enables precise activity level measurement across different exercise types and intensities without requiring separate specialized sensors for each function, thus limiting the increase in device complexity.
Data Source
AI summary
An adaptive music playback system is disclosed. The system includes a composition system that receives information corresponding to user activity levels. The composition system determines target musical criteria corresponding to the user activity levels and modifies the composition of a song in response to changes in user activity.