Haptic Feedback Adaptation Using Sensor Data and Media Content
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Solution Overview
Problem
Conventional systems for determining haptic feedback based on media content alone fail to provide a flexible, configurable, and scalable solution, as they ignore external parameters, resulting in limited and non-immersive user experiences.
Innovation Solution
A computing device that modifies haptic feedback by incorporating both media content characteristics and external parameters such as sensor information, customization information, and environmental conditions to provide richer and more customizable haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems determine haptic feedback based on media content characteristics alone, then the system is simple to implement, but the haptic feedback is limited and not immersive
Solution Approach 1:
The patent combines media content characteristics (tempo, frequency, amplitude) with external parameters (sensor information, customization information, environmental conditions) to determine haptic feedback. This merging of multiple data sources enables rich, context-aware haptic feedback while maintaining a unified processing architecture that manages the increased complexity.
Solution Approach 2:
The system processes multiple types of input data (media characteristics, sensor data, environmental information, user preferences) through a unified haptic feedback determination mechanism. This multi-functional approach allows the same system to adapt to various contexts and conditions without requiring separate processing paths for each input type.
2Reliability
If external parameters are incorporated to customize haptic feedback, then the user experience becomes more immersive and tailored, but the processing complexity increases
Solution Approach 1:
The system automatically determines haptic feedback by autonomously processing and integrating multiple data sources (media characteristics, sensor information, environmental conditions, user preferences) without requiring manual configuration. This self-service approach improves accuracy while managing processing complexity through automated decision-making algorithms.
Solution Approach 2:
The system incorporates sensor information that provides real-time feedback about environmental conditions and device state, which is then used to dynamically adjust haptic feedback parameters. This feedback loop enhances the accuracy and adaptability of haptic feedback while using efficient processing to manage the complexity of continuous monitoring and adjustment.
Data Source
AI summary
The disclosure relates to systems and methods of providing haptic feedback based on media content and one or more external parameters used to customize the haptic feedback. The system may modify or otherwise alter haptic feedback that is determined using the media content alone. In other words, the system may use both the media content and the external parameters to determine haptic feedback that should be output to the user or others. The external parameters may include, for example, sensor information, customization information, and/or other external parameters that may be used to customize the haptic feedback.