Movement-Sensing Remote Control for Automatic User Identification
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Solution Overview
Problem
Existing remote control devices and display devices struggle to accurately and efficiently identify multiple users accessing digital content on a shared display device, leading to suboptimal user experiences and privacy concerns.
Innovation Solution
A remote control device equipped with a movement sensor, memory circuitry, and processor circuitry operates a movement model to detect user movements, while a display device uses a camera and processor to combine movement and image data for precise user identification, updating a movement model for improved accuracy and privacy preservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple people share a TV with multiple accounts, then personalized content recommendations can be provided, but account setup and parental control activation become complex and difficult for average users
Solution Approach 1:
The system automatically detects user identity through movement patterns and device handling characteristics, eliminating the need for manual account setup and parental control configuration. The remote control device autonomously identifies users and applies appropriate content restrictions based on detected user profiles, making the system self-configureing without user intervention.
Solution Approach 2:
The patent replaces manual mechanical account creation processes with automated sensor-based detection. Movement sensors, accelerometers, and processors analyze physical movement patterns and device interaction behaviors to automatically identify users, substituting the complex manual account setup mechanism with an automated biometric-like identification system.
2Measurement precision
If user identification is performed continuously to detect user switches, then accurate user detection is achieved, but power consumption and processing load increase
Solution Approach 1:
Instead of continuous monitoring, the system performs user identification at specific periodic intervals triggered by movement detection. The processor activates movement sensors and analyzes movement patterns only when changes are detected, reducing power consumption while maintaining accurate user switch detection capability.
Solution Approach 2:
The system uses partial action by analyzing only specific movement parameters and using simplified identification algorithms when needed. The processor selectively activates full identification routines only when necessary, avoiding excessive processing and power consumption during normal operation while maintaining sufficient accuracy.
3Ease of operation
If manual user switching is required on display device, then user identification can be controlled, but users often forget to log out and switch accounts leading to mixed recommendations
Solution Approach 1:
The system provides automatic feedback by continuously monitoring movement patterns and device handling characteristics to detect user switches. When a different user is detected through changes in movement data, the system automatically notifies the display device to switch profiles, ensuring user separation without requiring manual intervention and preventing mixed recommendations.
4Speed
If movement data is collected and analyzed to identify users, then user detection speed improves, but false positives may occur leading to inaccurate identification
Solution Approach 1:
The system analyzes multiple movement parameters including acceleration, orientation, device handling patterns, and interaction sequences. By changing the analysis from simple movement detection to multi-parameter pattern recognition, the system achieves both fast detection and high accuracy, reducing false positives through comprehensive parameter evaluation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances user identification speed and accuracy, reduces false positives, and mitigates privacy concerns by efficiently distinguishing between users, enabling personalized content recommendations and improved parental control security.
Implementation Method 1
a movement sensor, memory circuitry, a wireless interface, and processor circuitry configured to operate according to a movement model for identifying movement of the remote control device
Data Source
AI summary
A remote control device is provided. The remote control device comprises a movement sensor, memory circuitry, a wireless interface, and processor circuitry configured to operate according to a movement model for identifying movement of the remote control device. The processor circuitry is configured to obtain, from the movement sensor, movement data indicative of movement of the remote control device. The processor circuitry is configured to determine, based on the movement data and by using the movement model, a user parameter indicative of a user of the remote control device. The processor circuitry is configured to determine whether the user parameter satisfies a first criterion. The processor circuitry is configured to, when the user parameter satisfies the first criterion, output the user parameter to a display device.