Influence of the Antenna Orientation on WiFi-Based Fall Detection Systems.

Area of Science:

• Engineering
• Computer Science
• Gerontology

Background:

• The increasing elderly population requires advanced remote health monitoring solutions.
• Falls are a major cause of injury and mortality in older adults, necessitating effective detection systems.
• Existing WiFi-based fall detection systems struggle to differentiate falls from similar activities and often overlook antenna orientation's impact.

Purpose of the Study:

• To analyze the influence of antenna orientation, polarization, and radiation patterns on the classification performance of WiFi-based fall detection.
• To implement and evaluate a device-free fall detection platform utilizing Doppler spectrum analysis.
• To compare the effectiveness of horizontal versus vertical antenna polarization for fall event detection.

Main Methods:

• Development of a device-free fall detection platform using WiFi radio frequency signals.
• Measurement of the Doppler spectrum of a probe signal to extract human movement signatures.
• Empirical data collection on fall events using the implemented platform.
• System evaluation with two antenna polarizations: horizontal and vertical.

Main Results:

• Horizontal antenna polarization achieved 92% accuracy with an 8% false negative rate.
• Vertical antenna polarization resulted in 50% accuracy and a higher false negative rate.
• Antenna polarization significantly impacts the classification performance of fall detection systems.

Conclusions:

• Antenna orientation, specifically horizontal polarization, is a critical factor for enhancing the accuracy of WiFi-based fall detection systems.
• The developed platform demonstrates the feasibility of using Doppler signatures for reliable fall event identification.
• Optimizing antenna configuration is essential for improving the reliability of remote health monitoring for the elderly.