Attentive User Detection for Personalized Public Display Content
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Solution Overview
Problem
Public display devices typically provide information to a universal audience rather than specific individuals, failing to offer personalized content to actively engaged users in public places.
Innovation Solution
A system comprising a display device, camera, and proximity sensor, coupled with a computing device including face detection and recognition modules, identifies attentive users among a crowd to provide personalized content based on their identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If public display devices provide information to a universal audience, then the coverage and accessibility of information is improved, but the ability to provide personalized content to specific users deteriorates
Solution Approach 1:
The system segments the universal audience into individual users by using proximity sensors to identify specific devices and cameras to detect individual faces. This segmentation enables personalized content delivery while maintaining the public display's universal accessibility, resolving the contradiction between personalization capability and system complexity.
Solution Approach 2:
The patent introduces intermediary components (proximity sensors, cameras, and processing modules) that mediate between the public display and individual users. These intermediaries enable personalized content delivery without requiring fundamental changes to the display device itself, thus improving personalization capability while controlling system complexity.
2Measurement precision
If the system uses face detection and recognition modules to identify attentive users, then the accuracy of user identification is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system performs preliminary actions by first using proximity sensors to identify devices near the display before employing face detection and recognition. This preliminary filtering reduces the number of faces that need to be analyzed, thereby improving user identification accuracy while reducing the overall detection complexity.
Solution Approach 2:
The system dynamically adjusts its detection strategy based on the number of users detected. When multiple users are present, it prioritizes face detection for those closest to the display, optimizing the balance between identification accuracy and detection complexity in real-time.
Data Source
AI summary
Provided is a method of detecting an attentive user to provide personalized content on a display. People proximate to a display are identified. Upon such identification, a user attentive to the display is detected amongst the people proximate to the display. Identity of the attentive user is determined and personalized content is displayed based on the identity of the attentive user.