| Summary: | This study proposes the development of a contactless emergency assistance system designed for individuals with severe physical disabilities (tetraplegia and no voice but normal mouth movements) to address the limitations of traditional emergency bells in sudden emergencies. The core technology of the system includes artificial intelligence facial recognition and fuzzy motion algorithms to identify facial movements. After the auxiliary signal is triggered, the system uses Message Queuing Telemetry Transport (MQTT) technology to activate warning lights and speakers. The signal is then transmitted to the LINE application on a computer or smartphone platform via Wi-Fi, notifying caregivers to provide timely assistance. Experimental results show that the system has a user-friendly interface and an accuracy rate of about 96.69%. This study is the successful development of an emergency assistance system controllable by quadriplegic patients. The one-to-many alarm device can establish a safe net, effectively help individuals with severe physical disabilities proactively seek help, reduce the risk of accidents, and alleviate caregiver shortages. For quadriplegics, this technology offers a unique alternative with significant advantages over commercially available manually operated or voice command call bells.
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