Audio-Based Contact Matching for Instant Messaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing instant messaging systems face challenges in accurately matching users based on geographical location due to differences in location information acquired from various networks, leading to inefficient and inaccurate contact matching.
Innovation Solution
A method that uses audio data from the environment of mobile devices to determine if users are in the same location, processing audio data to extract feature information and comparing timestamps to match users, allowing for precise contact matching without requiring different networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If location information is acquired using different networks (GSM, CDMA, GPS), then contact matching coverage is expanded, but matching accuracy deteriorates due to differences in location information from various networks
Solution Approach 1:
The patent introduces audio data as an intermediary element to bridge the gap between different network location information systems. By using audio environment data as a common reference point, users from different networks can be matched based on their shared acoustic environment rather than relying on incompatible location data formats from GSM, CDMA, or GPS networks.
Solution Approach 2:
The patent replaces the mechanical/network-based location information acquisition system with an acoustic field-based detection system. Instead of relying on different network infrastructures (GSM, CDMA, GPS) to provide location data, the system uses audio environment capture and processing to determine user proximity, thereby eliminating network-specific location information discrepancies.
2Reliability
If manual contact information input is used, then user privacy control is improved, but operation complexity increases and matching efficiency decreases
Solution Approach 1:
The patent enables the system to automatically perform contact matching by capturing and processing audio environment data, eliminating the need for users to manually input contact information. The system self-identifies potential contacts based on acoustic environment analysis, thereby reducing operational complexity while maintaining user privacy through automated, opt-in matching.
Solution Approach 2:
The patent changes the fundamental parameter for contact matching from manually input contact information to automatically captured audio environment data. This parameter change transforms the matching process from a user-intensive manual operation to an automated system-driven process, improving ease of operation while preserving privacy through controlled audio-based matching.
3Ease of operation
If LBS technology is used for contact matching, then operation is simplified, but matching accuracy deteriorates due to network-dependent location information differences
Solution Approach 1:
The patent replaces the network-dependent LBS location information system with an acoustic field-based detection system. By using audio environment capture and processing, the system achieves both operational simplicity (automatic matching without manual input) and high accuracy (precise environment-based matching) without relying on GSM, CDMA, or GPS network location data.
Solution Approach 2:
The patent introduces audio environment data as an intermediary that enables accurate contact matching without network dependency. This intermediary approach maintains the operational simplicity of LBS (automatic matching) while eliminating the accuracy problems associated with network-specific location information, as audio data provides a universal and precise environment reference.
Data Source
AI summary
A computer-implemented method of providing matching information to prospective first and second users is performed at a server, the method including: receiving first audio data and first user information; receiving second audio data, and second user information; storing a first timestamp of the first audio data and first user information and a second timestamp of the second audio data and second user information; performing analysis processing on the first audio data to obtain first feature information, and performing analysis processing on the second audio data to obtain second feature information; judging whether the first timestamp and the second timestamp and the first feature information and the second feature information match; and if the first and second times of receipt and the first and second feature information match, sending the first user information to the second user and sending, by the server, the second user information to the first user.