UWB Radio-Based Motion Detection System for Assisted Living

Area of Science:

• Engineering
• Computer Science
• Gerontology

Background:

• The growing elderly population necessitates advanced assisted living solutions for independent home living.
• Monitoring user motion and mobility is crucial for assessing well-being and contextualizing daily activities.
• Radio frequency (RF) technologies offer advantages over optical sensors for indoor mobility monitoring due to signal penetration.

Purpose of the Study:

• To develop a robust and easy-to-install motion detection system for assisted living applications.
• To address the limitations of fixed motion detection thresholds in RF-based monitoring systems.
• To propose an algorithm that adapts to varying environmental conditions and motion intensities.

Main Methods:

• Utilizing channel impulse response (CIR) information from IEEE 802.15.4 ultra-wideband (UWB) radio.
• Implementing an online adaptive motion detection (OAMD) algorithm with a sliding window approach.
• Analyzing derivatives of power delay profile (PDP) differences and their statistics to set adaptive thresholds.

Main Results:

• The OAMD algorithm effectively adapts to diverse environmental conditions and motion levels.
• Demonstrated superior performance compared to traditional offline batch motion detection methods.
• The system reliably detects motion by identifying outliers in PDP differences' probability density function.

Conclusions:

• The proposed OAMD algorithm provides a highly reliable solution for motion detection in assisted living.
• This technology can significantly enhance assisted living technologies by improving long-term well-being assessment.
• The system facilitates critical event detection and timely alerts for caregivers, ensuring elderly safety.