Sensor Data Individualization Using Defined Region Labels
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Solution Overview
Problem
In healthcare settings, particularly in residential and in-home care, there is a challenge in accurately assessing and monitoring the abilities and needs of patients without appropriate service planning, leading to clinically significant negative outcomes due to the inability to determine specific user identities and actions from sensor data, especially when multiple users are present.
Innovation Solution
A method and system that utilize sensor data processing to individualize user identities and actions by defining and learning regions within a physical space, using sensors like radar to detect presence and movement, and associating user identifiers and action identifiers with specific regions, enabling accurate monitoring and provision of targeted services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is collected in multi-user environments without region-based individualization, then monitoring coverage is comprehensive, but user identity identification accuracy deteriorates
Solution Approach 1:
The physical space is segmented into multiple defined regions (e.g., kitchen, bedroom, bathroom), and each region is associated with specific user identifiers. This segmentation allows the system to identify which user is present in which region, resolving the ambiguity of user identity in multi-user environments while maintaining manageable system complexity through spatial partitioning.
Solution Approach 2:
Region identifiers serve as intermediaries between sensor data and user identities. Instead of directly linking sensors to users, the system first determines which region the sensor detects activity in, then uses the region's associated user identifier to identify the user. This intermediary approach simplifies the overall system architecture.
2Measurement precision
If general observations and conversations are used to assess patient state, then system complexity is low, but assessment accuracy deteriorates
Solution Approach 1:
The system automatically performs patient state assessment by processing sensor data without requiring manual observation or conversation. The automated system detects user presence in specific regions, identifies activities, and assesses patient state independently, achieving high accuracy while maintaining reasonable automation levels through rule-based region-labeling algorithms.
3Adaptability or versatility
If region-based labeling with user identifiers is implemented, then user-specific service provision is enabled, but data processing complexity increases
Solution Approach 1:
User identifiers and region associations are pre-configured before actual monitoring begins. The system performs preliminary labeling of regions with relevant user identifiers based on historical data or manual configuration, so that during operation, simple lookup operations can identify users without complex real-time analysis, reducing ongoing data processing complexity.
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
This approach improves the accuracy and reliability of user assessments, allowing for non-invasive and reliable monitoring of individuals, even in multi-user environments, and provides timely and appropriate services to ensure patients can remain safely at home, reducing the risk of adverse health outcomes.
Implementation Method 1
using sensors like radar to detect presence and movement
Data Source
AI summary
Techniques for improved sensor data processing are provided. Sensor data indicating presence of an individual in a physical space is received, and a defined set of regions of the physical space is identified. A first region, of the defined set of regions, where the individual is located is identified based on the sensor data. The sensor data is labeled with a user identifier, of a plurality of user identifiers associated with the physical space, based on the first region. One or more personal services are provided to the individual based on the user identifier.