Electronic Device Privacy Data Filtering Mechanism
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Solution Overview
Problem
Electronic devices lack a mechanism to protect users' privacy when sharing data with external users, leading to unintended exposure of sensitive information such as image and voice data during activities like workouts.
Innovation Solution
An electronic device with a microphone, camera, and communication circuitry that modifies or determines which data to transmit to an external server based on designated conditions, preventing the exposure of sensitive data by determining whether the data satisfies specific privacy criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is continuously transmitted from the electronic device to the external server, then data sharing functionality is improved, but user privacy protection deteriorates
Solution Approach 1:
The electronic device performs preliminary actions by determining whether to transmit data before actually transmitting it. The processor evaluates designated conditions (such as workout state, image content, or data sensitivity) in advance and pre-determines the transmission decision, preventing unnecessary data transmission that could expose user privacy while maintaining efficient data sharing when appropriate.
2Loss of information
If all input data is transmitted to the external server, then data completeness is improved, but harmful data exposure increases
Solution Approach 1:
The system extracts and separates harmful data from the overall data stream. The processor identifies specific data elements that should not be transmitted (such as images showing user falling, voice data during pauses, or other sensitive information) and extracts them from the complete input data set, preventing their transmission while maintaining the completeness of beneficial data sharing.
Solution Approach 2:
The system applies local quality differentiation by treating different data elements differently based on their specific characteristics and sensitivity levels. Not all data is treated uniformly; instead, the processor evaluates each data element's properties (such as image content, voice context, or sensor data characteristics) and applies appropriate transmission decisions to each local data element, allowing selective transmission that preserves data completeness for safe data while filtering out harmful data.
3Object-affected harmful factors
If a privacy protection mechanism is added to the electronic device, then user privacy protection is improved, but device complexity increases
Solution Approach 1:
The privacy protection mechanism leverages the existing multi-functional processor and communication circuitry of the electronic device. The same processor that handles workout tracking, image capture, and data transmission also performs privacy evaluation and transmission decision-making. This universal approach allows the device to maintain its existing hardware architecture while adding privacy protection functionality, avoiding the need for separate dedicated privacy hardware and thus minimizing the increase in device complexity.
Data Source
AI summary
An electronic device is provided. The electronic device includes a microphone, a camera, communication circuitry, memory storing one or more computer programs, and one or more processors communicatively coupled to the microphone, the camera, the communication circuitry, and the memory, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors, cause the electronic device to receive input data from the microphone, the camera and/or at least one wearable device, modify at least some of the input data or determine at least some of input data as data that are not to be transmitted from an external server to an external device based on whether at least some of the input data satisfy a designated condition, and transmit the input data to the external server.