Location-Based Haptic Signal Compression for Bandwidth Control
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Solution Overview
Problem
Current technologies lack effective methods for compressing haptic signals based on the location of haptic effect application, which is crucial for optimizing bandwidth usage in immersive systems.
Innovation Solution
A method and device for encoding and decoding haptic signals that involve compressing the signals based on the location where the haptic effect is to be applied, using a mapping between the location and compression parameters derived from body segmentation, vertex-based, or texture-based models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If haptic signals are transmitted without compression, then signal quality is maintained, but bandwidth consumption increases
Solution Approach 1:
The patent applies different compression parameters to different body locations where haptic effects are applied. The compression level is adapted based on the specific body part (e.g., finger, palm, arm, leg, foot) to optimize the balance between signal quality and bandwidth consumption for each location.
Solution Approach 2:
The patent changes compression parameters based on the location of haptic effect application. Different compression ratios, quality settings, or encoding schemes are applied depending on which body part receives the haptic feedback, allowing optimization of bandwidth usage while maintaining necessary signal quality.
2Quantity of substance
If uniform compression is applied to all haptic signals, then bandwidth is reduced, but signal quality varies across different body locations
Solution Approach 1:
The patent implements location-specific compression parameters where each body part (finger, palm, arm, leg, foot) has its own optimized compression settings. This ensures that signal quality is appropriate for each location's sensory requirements while achieving overall bandwidth reduction.
Solution Approach 2:
The patent segments the body into different regions (finger, palm, arm, leg, foot) and applies different compression strategies to each segment. This segmentation allows the system to optimize compression per location rather than using a one-size-fits-all approach.
Data Source
AI summary
A coding method allows to compress a haptic signal of a haptic effect. Compression parameters are determined at least based on a location where a haptic effect is to be applied. Information representative of the haptic effect comprises the compressed signal and the location. The location may be based on body segmentation, or vertex-based or texture-based. Corresponding decoding method, coding device, decoding device, computer program, non-transitory computer readable medium and system are described.


