Journal of Electrical Engineering and Automation

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.

Multimodal sensor fusion; Anti-fall; Intelligent cane; Fall detection; Data fusion