Development of anti-fall intelligent cane based on multimodal sensor fusion
多模态传感器融合的防跌倒智能拐杖开发

摘要

本研究提出了一种基于多模态传感器融合的防跌倒智能拐杖设计方案。通过集成加速度计、陀螺仪、压力传感器等多种传感器，实时监测使用者的步态、运动状态与姿态变化。利用传感器数据融合技术，智能拐杖能够准确识别步态不稳和跌倒风险，并及时采取干预措施，如发出警报。该系统不仅提高了跌倒检测的精度，还增强了实时响应能力，显著提升了老年人群体的安全性。通过实验验证，智能拐杖在实际应用中展现了较高的稳定性和可靠性，为老年人群体提供了更加安全、智能的辅助工具，具有广阔的应用前景。

Abstract

This study proposes a design scheme of anti-fall intelligent cane based on multimodal sensor fusion. By integrating various sensors such as accelerometers, gyroscopes, and pressure sensors, it can real-time monitor the user's gait, movement status, and posture changes. Using sensor data fusion technology, the intelligent cane can accurately identify gait instability and fall risks, and take timely intervention measures such as issuing alarms. The system not only improves the accuracy of fall detection but also enhances real-time response capability, significantly improving the safety of the elderly population. Experimental verification shows that the intelligent cane exhibits high stability and reliability in practical applications, providing a safer and more intelligent auxiliary tool for the elderly, which has broad application prospects.