Wearable IoT Localization Using TDOA for Behavioral Tracking
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Solution Overview
Problem
Healthcare facilities struggle with inaccurate and inconsistent data collection for resident and staff behavior, leading to inefficiencies in care delivery, staff safety, and increased regulatory and litigation risks.
Innovation Solution
An IoT-based computing platform with wearable and environmental computing devices that track resident and staff interactions, integrating with electronic health records to provide real-time monitoring and analysis, using TDOA and TWR measurements to determine location and calibrate communication devices for precise data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data collection methods are used in healthcare facilities, then device complexity is reduced, but measurement precision and reliability of behavioral data deteriorate
Solution Approach 1:
The patent combines multiple computing devices (wearable devices, environmental sensors, mobile devices) into an integrated IoT-based localization system that collectively tracks resident and staff behavior. This merging of multiple data collection points achieves high measurement precision through TDOA and TWR measurements while distributing system complexity across multiple standardized components rather than requiring a single complex device.
Solution Approach 2:
The patent introduces a computing server system as an intermediary that receives data from multiple computing devices, processes TDOA and TWR measurements, and generates localized behavior data. This intermediary handles the complex calculations and data fusion, allowing individual computing devices to remain relatively simple while achieving high overall measurement precision through centralized processing.
2Reliability
If real-time monitoring of resident and staff behavior is implemented, then care quality and safety outcomes are improved, but loss of time for data processing and analysis increases
Solution Approach 1:
The patent implements preliminary action by having computing devices continuously collect and pre-process behavioral data in real-time as events occur. The system captures location information, interactions, and activities immediately through TDOA and TWR measurements, preparing data for analysis before care decisions are needed. This eliminates delays in data availability while maintaining care quality through immediate monitoring.
Solution Approach 2:
The patent replaces manual data collection and analysis methods with automated electronic computing devices that continuously monitor behavior. This substitution of mechanical/manual processes with electronic automation reduces the time required for data processing while improving reliability, as the system automatically captures and analyzes behavioral data without human intervention delays.
3Loss of information
If comprehensive behavioral tracking is implemented, then information completeness is improved, but loss of information through data management challenges increases
Solution Approach 1:
The patent segments the comprehensive behavioral tracking system into multiple specialized computing devices, each responsible for collecting specific types of data (location, interactions, activities). The computing server system then integrates these segmented data streams, maintaining information completeness through systematic data collection while reducing data management complexity through distributed architecture and standardized data protocols.
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
Enhances care quality and financial performance by providing accurate, objective behavioral data, reducing regulation and compliance risks, and improving staff health and satisfaction.
Implementation Method 1
determine the location of the detected first computing device using at least time difference of arrival (TDOA) measurements from the portion of the plurality of second computing devices
Implementation Method 2
a single two way ranging (TWR) measurement from one of the plurality of second computing devices
Data Source
AI summary
A system comprises a plurality of first computing devices, wherein each first computing device is wearable by a user or is affixed to an asset within an environment and configured to generate and transmit a message; and a plurality of second computing devices installed within the environment, wherein a portion of the plurality of second computing devices are configured to detect at least one of the plurality of first computing devices, receive messages transmitted by a detected first computing device, and timestamp the messages before transmitting the messages to a computing server system. The computing server system is configured to determine at least a location of the detected first computing device based at least upon the messages received from the portion of the plurality of second computing devices.