Haptic Feedback Event ID Mapping for Live Events
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Solution Overview
Problem
Conventional haptic systems face challenges in providing immersive experiences due to connectivity issues, information loss, and synchronization problems when directly translating raw sensor data into haptic effects, leading to decreased haptic quality and increased bandwidth requirements.
Innovation Solution
The system assigns event IDs based on sensor information, which are then used to generate corresponding haptic effects, reducing bandwidth needs and improving synchronization by classifying and merging sensor data into event IDs and sending them as metadata, allowing for more efficient transmission and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If raw sensor data is directly transmitted to generate haptic effects, then haptic quality is maintained, but bandwidth consumption increases and connectivity issues occur
Solution Approach 1:
The patent extracts only the essential event identification information from raw sensor data, transmitting only event IDs rather than complete sensor datasets. This extraction approach maintains haptic quality by preserving event identification accuracy while dramatically reducing bandwidth consumption by filtering out redundant sensor information.
Solution Approach 2:
The system creates simplified copies of sensor data in the form of event IDs that represent the essential characteristics of sensor events. These event ID copies contain sufficient information for haptic effect generation while requiring minimal bandwidth for transmission, effectively replacing large raw sensor datasets with compact representations.
2Quantity of substance
If event IDs are used to represent sensor events, then bandwidth consumption is reduced, but information loss occurs
Solution Approach 1:
The patent applies local quality by providing different levels of information detail to different system components. Event IDs provide sufficient information quality for haptic effect selection and generation, while the system architecture preserves access to original sensor data where needed for comprehensive event characterization, ensuring each component receives appropriately detailed information.
3Loss of time
If raw sensor data is processed in real-time, then synchronization is maintained, but processing complexity increases
Solution Approach 1:
The system performs preliminary action by pre-defining event ID mappings to haptic effects on the server side. Event IDs are designed to directly correspond to specific haptic effect types, establishing the translation relationship in advance rather than requiring complex real-time processing decisions. This preliminary setup simplifies real-time synchronization while maintaining processing accuracy.
4Measurement precision
If comprehensive sensor data is transmitted, then haptic effect accuracy is improved, but connectivity requirements increase
Solution Approach 1:
The patent extracts only the critical identification elements from comprehensive sensor data, creating event IDs that capture the essential characteristics needed for accurate haptic effect selection. This extraction maintains haptic effect accuracy by preserving event type identification while reducing data transmission volume by eliminating redundant sensor measurements and raw data points.
Data Source
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AI summary
A method of generating event identifiers includes receiving sensor information from tracked entities. Based on the sensor information for tracked entities, an event can be determined. An event ID can be assigned to the event based on the type of event that was determined. The event ID can be sent to a haptically enabled device, the device outputting a haptic effect determined from the event ID.