Non-intrusive user-oriented interactive fall-detection system for seniors
Chavda Arvindkumar, Nitinkumar Jaiswal, Jenish Tailor, Zhi-Qiang Liu, Chirag Parihar, Jiehan Zhou, Kevin Holmes, Stuart Dean, Misbah Islam · 2015
This system enables autonomous and non-intrusive detection of falls and initiates post-fall care activities without burdening seniors by wearing any monitoring device or requiring constant scrutiny from video surveillance. Caregivers can monitor or be alerted of fall events through a Web-based mobile application. This system has the following specific features. (1) It enables to detect and identify different types of motion and fall events by using spectrogram-based algorithm to analyze reflected Doppler signals. (2) The system supplies a user-friendly Web application to configure the system during the initial operation and future software upgrades. (3) The system provides the user with a friendly interactive alert information management system in the context of fall detection.