Multi-touch User Identification via Attribute Detection
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Solution Overview
Problem
Current multi-touch interactive surface systems lack effective methods for identifying and authenticating participants proximate to the system, limiting personalized and secure interactions among users.
Innovation Solution
The system detects attributes of entities proximate to the interactive surface, assigns identifiers, and uses these identifiers for authentication and personalized interactions, employing a combination of attribute acquisition modules such as radio receivers, audio receivers, motion sensors, and biometric sensors to distinguish and authenticate participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If proximity detection is implemented using optical-based systems, then the ability to detect objects and gestures is improved, but the coordination capabilities between participants remain limited
Solution Approach 1:
The system employs multiple types of detectors (optical, acoustic, radio frequency) that can serve both detection and coordination functions. Each detector type can identify participants and simultaneously provide coordination data, making the system multi-functional and resolving the limitation where detection capability was improved but coordination capability remained limited.
2Measurement precision
If multiple detection technologies are integrated for participant identification, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system divides participant identification into separate functional modules: optical detection for presence and gesture recognition, acoustic detection for voice-based identification, and radio frequency detection for device-associated identification. Each module operates independently and contributes specific identification data, improving overall accuracy while managing complexity through modular segmentation.
Solution Approach 2:
The system introduces an intermediary coordination layer that receives data from multiple detection technologies and synthesizes participant identification. This intermediary module integrates information from optical, acoustic, and radio frequency detectors, enabling accurate identification while abstracting the complexity of multi-technology integration from the core identification logic.
3Adaptability or versatility
If participant attributes are acquired and stored for personalized interaction, then user personalization is improved, but data privacy concerns increase
Solution Approach 1:
The system implements differential privacy protection where different levels of personalization are applied to different participants based on their privacy preferences and authorization levels. Some participants receive full personalized interactions with complete attribute utilization, while others receive limited personalization with restricted data access, allowing the system to balance personalization capability with privacy protection on a per-user basis.
Data Source
AI summary
Arrangements to identify, in some form, multiple participants by an interactive surface system utilizing multi-touch technology are disclosed. The interactive surface system could identify, authorize, and allocate space on a surface for a participant based on identifying at least one attribute of the participant such as an object associated with the participant. The method can include searching for a first distinctive attribute of the participant, assigning an identifier to the attribute, and storing the identifier for future use. Other embodiments are also disclosed.