Occupancy Sensor Sequencing for Multi-Room Action Monitoring
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Solution Overview
Problem
Existing action monitoring systems are limited to determining normal actions within a single area and fail to monitor actions that span multiple areas, such as cleaning or garbage disposal, which are crucial for comprehensive lifestyle analysis.
Innovation Solution
An action monitoring system equipped with multiple occupancy sensors in different locations within a residence, a storage section, and a determination section that stores and compares specific action sequences to determine if actions across multiple areas have been performed correctly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If occupancy sensors are installed in multiple locations to detect actions across areas, then the monitoring coverage is improved, but the system complexity increases
Solution Approach 1:
The residence is divided into multiple detection areas, each equipped with its own occupancy sensor. The determination section processes sensor data from specific areas independently to identify actions within each area, then integrates these results to determine actions spanning multiple areas. This segmentation allows comprehensive monitoring while maintaining manageable system complexity through modular area-based processing.
2Measurement precision
If reaction time data from multiple sensors is stored and compared to determine actions, then the measurement precision of action sequences is improved, but the data processing load increases
Solution Approach 1:
The determination section pre-stores action sequence patterns and their corresponding sensor reaction time characteristics in a database. When new sensor data is collected, the system compares the reaction times against the pre-stored patterns to identify actions. This preliminary preparation of reference data enables rapid comparison and reduces real-time processing requirements while maintaining high measurement precision for action sequence detection.
Data Source
AI summary
An action monitoring system is configured to monitor an action of a monitoring target person living in a residence, and includes occupancy sensors, a storage section, and a determination section. The occupancy sensors are provided in places different from each other in the residence. The determination section is configured to store, in the storage section in advance, a specific action defined by at least a reaction order of the multiple occupancy sensors, and store a reaction time as reaction data in the storage section when any of the multiple occupancy sensors reacts. The determination section is further configured to extract a current action based on the reaction data stored in the storage section, and compare the current action with the specific action to determine whether the specific action has been normally performed.