Indoor Location Prediction for Automatic User Action Recommendations
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Solution Overview
Problem
Conventional electronic devices require manual configuration to trigger repetitive tasks based on user routines, which is inconvenient and inefficient.
Innovation Solution
An electronic device equipped with a communication module, sensor module, and processor that predicts locations in indoor spaces, collects communication signals, device state information, and user actions, and automatically recommends user actions based on usage patterns without manual configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual configuration of triggers is required to repeat user routines, then user actions can be automated, but user convenience deteriorates due to the need for manual setup
Solution Approach 1:
The system automatically detects user locations using sensor data and communication signals, infers usage patterns without manual input, and triggers appropriate routines autonomously. The electronic device serves itself by learning user behavior patterns and executing actions based on predicted locations, eliminating the need for users to manually configure triggers while maintaining automation benefits
Solution Approach 2:
The system performs preliminary location prediction and usage pattern analysis before triggering user routines. By anticipating user location and potential actions in advance based on collected data, the system prepares and automatically executes appropriate routines without requiring manual configuration at the moment of need, thus improving both automation and convenience
2Productivity
If conventional triggering methods are used, then repetitive tasks can be executed, but user convenience worsens due to inconvenient manual configuration
Solution Approach 1:
The system automatically monitors user location through sensors and communication modules, identifies usage patterns without manual input, and triggers repetitive tasks autonomously. This self-service approach maintains high productivity for repetitive tasks while eliminating the inconvenient manual configuration step, as the device learns and executes routines based on observed user behavior
3Extent of automation
If location prediction in indoor spaces is implemented, then user actions can be automatically recommended, but device complexity increases due to additional sensors and processing
Solution Approach 1:
The communication module and sensor module serve multiple functions: they collect data for location prediction, analyze usage patterns, trigger user routines, and recommend actions. By making these components multi-functional, the system achieves automatic user action recommendation without proportionally increasing device complexity, as the same hardware infrastructure supports multiple intelligent features
Data Source
AI summary
Various embodiments of the disclose may include a communication module, a sensor module, a memory; and a processor operatively coupled to at least one of the communication module, the sensor module, and the memory, wherein the processor is configured to: collect one or more communication signals through the communication module, predict a location in an indoor space based on the collected communication signals, acquire device state information or a user action through the sensor module at the predicted location, provide a recommendation related to a user based on at least one of the predicted location, the device state information, or the user action.