Remote Control User Identification via Sensor Data Analysis
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Solution Overview
Problem
Existing remote control systems for TVs often rely on cumbersome user identification methods or simple techniques that do not consider the user's emotional response to content, raising privacy concerns and failing to accurately identify users, especially in smart TV environments where user feedback is valuable.
Innovation Solution
A user-sensing remote control system that utilizes a plurality of sensors, a sensing data processing module, and a recommendation engine to determine a user identity space using statistical algorithms, progressively refining user identity through sensor data analysis and content interaction, ultimately presenting a dominant user identity for personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face detection and recognition technology is used to identify users, then user identification accuracy is improved, but privacy concerns increase and user acceptance decreases
Solution Approach 1:
The patent extracts the user identification function from direct visual capture (camera-based face recognition) and relocates it to indirect sensing through remote control sensor data. This separates the identification capability from the privacy-intrusive camera, maintaining accuracy while reducing privacy concerns by using already-collected interaction data instead of direct visual monitoring.
Solution Approach 2:
The patent introduces remote control interaction data as an intermediary between the user and the identification system. Instead of directly capturing user identity through cameras, the system uses the remote control as a mediator to collect behavioral patterns, viewing habits, and interaction metrics that indirectly reveal user identity without direct visual observation.
2Device complexity
If simple user identification techniques are used, then device complexity is reduced, but user identification accuracy deteriorates
Solution Approach 1:
The patent makes the remote control universal by giving it multiple functions: it serves both as a traditional remote control for TV operation and as a sensing device for user identification. The existing remote control hardware is enhanced with sensors (accelerometer, gyroscope, proximity sensor) that enable user identification without requiring a separate dedicated identification device, thus reducing overall system complexity while improving accuracy.
Solution Approach 2:
The system uses the remote control's own built-in sensors to perform user identification, rather than requiring external cameras or additional identification hardware. The remote control self-services the identification function using its existing form factor and integrated sensors, simplifying the system architecture while maintaining high identification accuracy through multi-parameter sensing.
3Ease of manufacture
If traditional user identification methods are used, then implementation simplicity is improved, but adaptability to smart TV environments deteriorates
Solution Approach 1:
The patent implements dynamic user identification that adapts to smart TV environments by continuously learning from user interactions. The system starts with basic sensor data collection and progressively refines user profiles based on viewing patterns, content preferences, and behavioral metrics collected during smart TV usage. This dynamic adaptation allows the simple remote control to become highly versatile in smart TV contexts without complex initial configuration.
Solution Approach 2:
The system changes parameters over time by evolving from static user identification to dynamic profile learning. The remote control collects multiple parameters (acceleration patterns, viewing duration, content category preferences, time of day) and uses these changing parameters to adaptively identify users and adjust recommendations, making the simple device highly adaptable to smart TV environments through continuous parameter collection and analysis.
Data Source
AI summary
A method is provided for a user-sensing remote control system including a TV and a remote control. The method includes obtaining sensing data from a plurality of sensors in the remote control related to a user of the remote control, pre-processing the sensing data, and determining a user identity space containing a plurality of possible user identities of the user using a predetermined statistical algorithm. The method also includes determining whether there is a dominant possible user identity; when it is determined that there is no dominant possible user identity, selecting one or more possible user identities from the user identity space and updating the user identity space until there is a dominant possible user identity; and when it is determined that there is a dominant possible user identity, presenting the dominant possible user identity as the identity of the user to other applications.