Personal and Shared Device Cooperation for User Functions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is limited integration and cooperation between personal devices, such as smartphones, and shared devices, like televisions, which hinders the provision of personalized user functions across these platforms.
Innovation Solution
The method involves cooperative provision of personalized user functions by allowing personal devices to request and provide user functions in conjunction with shared devices, using features like facial and gesture recognition for registration and association, enabling seamless interaction and data exchange between the two types of devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal devices are used as conventional remote controls to shared devices, then basic control functionality is achieved, but integration and cooperation between devices remain limited
Solution Approach 1:
The system divides functionality into segments: the shared device (TV/set-top box) handles content delivery and display, while the personal device (smartphone) handles user authentication, control commands, and personalized settings. This segmentation allows each device to specialize in specific functions, improving overall adaptability without requiring full integration of all functionalities in both devices.
Solution Approach 2:
A communication interface and protocol layer acts as an intermediary between the personal device and shared device. This intermediary enables standardized data exchange and cooperation while abstracting the complexity of direct integration, allowing devices from different manufacturers to work together through defined interfaces.
2Adaptability or versatility
If facial and gesture recognition features are implemented for registration and association, then personalized user functions are enabled, but device and system complexity increases
Solution Approach 1:
The system performs facial recognition and user registration in advance during an initial setup phase. User profiles, preferences, and authorization data are pre-configured and stored. During actual use, the system simply matches incoming facial data against pre-stored profiles, enabling personalized functions without requiring complex real-time processing for each interaction.
Solution Approach 2:
The facial recognition system operates autonomously to identify users and automatically apply their personalized settings and preferences. The system self-configures user profiles and associations without requiring manual intervention for each recognition event, reducing the operational complexity despite the advanced functionality.
3Ease of operation
If seamless interaction and data exchange between personal and shared devices is enabled, then user experience is enhanced, but data security and privacy management complexity increases
Solution Approach 1:
User authorization and data sharing permissions are pre-configured during the registration and association phases. The system establishes trusted relationships between devices and users in advance, setting up security policies and data access rules before actual data exchange occurs. This preliminary security configuration enables seamless interaction while maintaining controlled access.
Solution Approach 2:
The system implements continuous monitoring and feedback mechanisms to track data exchange between devices. Security policies are dynamically enforced based on user context and device state, with the ability to adjust permissions and alert users to unusual activities. This feedback loop maintains security while allowing smooth operation within established parameters.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An apparatus (102) capable of being used in association with a television (106), a camera, and at least one remote server, the apparatus comprising a box device (104) for use in rendering streaming video content via the television. The box device performs user facial recognition-related processing, based upon image data generated via image capture by the camera of an area that includes a current user of the box device, the user facial recognition-related processing being for use in identifying the current user of the box device from among a plurality of possible users. The box device further performs capturing, for upload via the at least one remote server to at least one social network, video clip data comprising at least a portion of the streaming video rendered via the television. In the operation of the apparatus, the image data is capable of being used in user gesture recognition processing and user facial expression analysis.In the operation of the apparatus, the box device is capable of receiving instructions via wireless communication (146).