User Device Estimating Activity State in Home Network
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Solution Overview
Problem
Current home network technologies lack the ability to effectively estimate and manage user activity states across multiple devices, leading to inefficient service provision and user preference alignment.
Innovation Solution
A user device equipped with a processor that obtains context and control information from external devices to estimate user activity states, determines power status-based activity, and transmits this information to other devices, also estimating preference information and family cluster activity states to optimize home network services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user activity state estimation is implemented using multiple devices, then service personalization and user experience are improved, but system complexity and information processing requirements increase
Solution Approach 1:
The system segments the activity state estimation task across multiple devices, with each device contributing specific context information (location, time, device usage patterns) while a central server performs the integrated analysis. This segmentation allows service personalization to improve without requiring any single device to become overly complex.
Solution Approach 2:
Multiple existing devices in the home network (smartphones, tablets, wearables, smart home devices) are leveraged for their existing functions while simultaneously using them as data sources for activity state estimation. This multi-functionality approach improves service personalization without adding dedicated complex hardware.
2Measurement precision
If context information is collected from multiple external devices, then activity state estimation accuracy is improved, but data processing load and communication overhead increase
Solution Approach 1:
The system extracts only the essential context information features needed for activity state estimation from multiple devices, filtering out redundant data. This extraction approach improves estimation accuracy by incorporating multiple data sources while minimizing the processing load by focusing on key informative features.
Solution Approach 2:
A central server acts as an intermediary that receives context information from multiple devices, performs the integrated activity state estimation, and returns results. This intermediary approach distributes the processing load centrally while allowing each individual device to maintain simpler functionality.
3Speed
If real-time activity state estimation is performed, then responsive service control is improved, but energy consumption and computational resources increase
Solution Approach 1:
The system performs activity state estimation at periodic intervals rather than continuously, updating service controls based on these periodic assessments. This periodic action maintains responsive service control while significantly reducing energy consumption and computational resource usage compared to continuous real-time monitoring.
Data Source
AI summary
A user device is provided to estimate an activity state in a home network. A user device may include a memory configured to store instructions and a processor configured to execute the stored instructions. The processor is configured to obtain context information and control information of at least one external electronic device from the at least one external electronic device; estimate a first activity state of a user using the context information and the control information; and transmit the first activity state to the at least one external electronic device.