Abstract

Independent living of elderly persons in their homes requires support that can be provided with modern assistive technologies. Monitoring of elderly persons behaviour delivers valuable information that can be used for diagnosis and detection of health problems as well as triggering alerts in emergency situations. The paper includes a description of the ultra wideband system developed within Networked InfrasTructure for Innovative home Care Solutions (NITICS) Active and Assisted Living (AAL) project. The system can be used as a component of AAL platforms. It delivers data on users localization and has a fall detector functionality. The system also provides access to raw measurement results from Microelectromechanical Systems (MEMS) sensors embedded in the device worn by the monitored person. These data can be used in solutions intended for elderly person’s behaviour investigation. The system was investigated under laboratory conditions as well as in home environment. The detailed system description and results of performed tests are included in the article.

Highlights

  • Huang et al [14] presented an approach that combines wearable Microelectromechanical Systems (MEMS) sensors with active RFID tags serving as beacons deployed in the vital positions of the area covered by the localization system

  • Most commercially available systems as well as most experimental systems still utilize wired synchronization between the devices [19,29,30], which makes them hard to install in most home environments

  • None of presented systems provides complex solution, integrating precise and accurate ultrawideband localization with the wearable MEMS sensors allowing for fall detection, gait analysis and ability to provide data that can be further analysed in terms of elderly monitoring and assisting

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Summary

Introduction

The UWB monitoring system provides information on person’s localization, fall detection alerting and gait related parameters as well as raw measurement results. Positioning accuracy of the system should be high enough to retrieve the route passed by the monitored person It is essential in certain AAL applications, e.g., in detection of wandering occurring in case of elderly. In addition to an information on visited room, the system should detect a situation situation when a person is approaching certain objects e.g., kitchen stove. The UWB technology was chosen as it allows for positioning with sufficient localization accuracy in indoor environment. The developed system integrates UWB with Microelectromechanical Systems (MEMS) technology to improve localization accuracy and reliability.

Related Works
Persons Tracking
Fall Detection
Conclusions
System Requirements
System
Monitoring
Anchor Nodes
Anchor
Measurement
System Controller
TDOA Determination and Correction Method
Gait Parameters Determination
Positioning
11. Localization
Fall Detection Algorithm
Test Site
Static Tests
14. Positioning
15. Empirical
Person Tracking
Fall Detection Tests
Findings
Full Text
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