Wearable Device Crowd-Aware Privacy-Preserving Data Transmission
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Solution Overview
Problem
Existing wearable computing devices struggle to efficiently and securely transmit body status information to security units in crowded environments, balancing public safety needs with individual privacy concerns.
Innovation Solution
A method for wearable computing devices to acquire and transmit body status information based on predefined crowd detection criteria, using wireless communication interfaces to send encrypted data to any device within range, ensuring public safety without compromising user confidentiality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If body status information is transmitted continuously to security units, then public safety detection capability is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent applies local quality by differentiating transmission behavior based on location context. The wearable device detects crowd density and determines whether the current location is a public space, then adjusts transmission accordingly - transmitting anonymized data in public spaces while protecting personal data in private spaces. This resolves the contradiction by making privacy protection dynamic rather than uniform.
Solution Approach 2:
The patent segments body status information into different types: anonymized aggregate data for public safety monitoring and personal identifiable information for individual privacy protection. Only anonymized segments are transmitted to security units, while personal segments remain protected. This segmentation allows simultaneous achievement of public safety monitoring and privacy protection.
2Productivity
If body status information is transmitted to improve public safety, then crowd monitoring capability is improved, but data security requirements increase
Solution Approach 1:
The patent extracts and removes personally identifiable information from body status data before transmission to security units. Only anonymized aggregate metrics are transmitted, while individual identifying information is extracted and protected separately. This extraction process enables crowd monitoring while eliminating data security risks associated with personal information exposure.
Solution Approach 2:
The patent uses disposable anonymized data representations that lose their connection to individual users after transmission. The anonymized aggregate data serves its public safety monitoring purpose and then becomes obsolete, requiring no long-term secure storage or protection, thereby reducing data security requirements while maintaining monitoring capability.
3Object-affected harmful factors
If encrypted wireless transmission is used, then data protection is improved, but transmission reliability in crowded environments deteriorates
Solution Approach 1:
The patent applies partial action by transmitting only essential anonymized aggregate data rather than complete personal body status information. This reduced data set requires less robust encryption and error correction, improving transmission reliability in crowded wireless environments while still providing sufficient public safety monitoring capability through selective data transmission.
Data Source
AI summary
A method for wearable computing device, the method comprising acquiring, by the wearable computing device, a first body status information of a person from a first data acquisition unit, wherein the person is wearing the wearable computing device. Receiving, by the wearable computing device, external information from other wearable computing devices via a wireless communication interface. In response to a fulfillment of a predefined crowd detection criterion by the external information, automatically, by the wearable computing device, transmitting the first body status information by the wireless communications interface.