Wearable Device Social Action Detection for Automatic Contact Transfer
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Solution Overview
Problem
Current methods for transferring electronic contact cards require cumbersome manual operations, reducing efficiency and user experience in business environments.
Innovation Solution
A wearable device-based information transfer method that utilizes sensors like accelerometers and GPS to detect social actions, such as handshakes, and transfers information automatically via NFC or other network connections without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operations are used to transfer electronic contact cards via smartphone, then information can be transferred between devices, but the operation process becomes cumbersome and efficiency is reduced
Solution Approach 1:
The wearable device automatically detects social actions through sensors and initiates information transfer without user intervention. The device serves itself by autonomously identifying transfer targets and executing the transfer process based on detected social interactions, eliminating the need for manual operations while maintaining transfer functionality
Solution Approach 2:
The patent replaces manual mechanical operations with sensor-based detection systems. Accelerometers, gyroscopes, and other sensors detect social actions automatically, substituting the mechanical interaction of manual device operation with automated sensing and recognition systems
2Extent of automation
If automated detection of social actions is implemented using sensors, then manual operations are eliminated, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The wearable device integrates multiple functions including social action detection, target identification, and information transfer within a single platform. The sensor system serves multiple purposes by detecting various types of movements and interactions, reducing the need for separate specialized components and thereby managing complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that translates raw sensor data into meaningful social action recognition. This intermediary system acts as a mediator between the physical sensor inputs and the automated transfer execution, simplifying the overall system architecture by abstracting the complexity of sensor processing
Data Source
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AI summary
A wearable device-based information transfer method and a related device are provided. The method includes: when detecting that a first user wearing a first wearable device performs a social action, recording, by the first wearable device, a first event parameter corresponding to the social action, where the first event parameter includes a first event time, a first event site, or an identifier of the first user; obtaining, by the first wearable device, a second event parameter released by a second wearable device, where the second event parameter includes a second event time, a second event site, or an identifier of a second user, and the second event parameter is an event parameter recorded by the second wearable device when the second wearable device detects that the second user wearing the second wearable device performs a social action; and determining, by the first wearable device, whether the first event parameter matches the second event parameter, and if the first event parameter matches the second event parameter, sending, by the first wearable device, first user-defined information to the second wearable device. According to embodiments of the present invention, information transfer efficiency can be effectively improved.