Published Paper Details:

The Internet of Things(IoT) is revolutionizing the healthcare sector, linking better, faster solutions in a fast-evolving and fast-paced era. The following paper illustrates the design and assessment of a Smart Glove Monitoring System for individuals with Down syndrome. The wearable system combines various sensors such as flex sensors, heartbeat and SpO? modules, GPS, and fall detection to ensure ongoing health monitoring and gesture-based interaction. Through the use of IoT through NodeMCU, the system sends real-time health and location information to a cloud platform, enabling caregivers to monitor and react quickly in emergency situations. The glove also has pre-recorded voice reminders triggered by finger gestures, which enable the non-verbal users to communicate simple needs. Experimental results show smooth heart rate and oxygen saturation monitoring, precise gesture recognition within five seconds, and effective GPS tracking in open spaces. Even though indoor GPS accuracy and fall detection dependability need enhancement, the system shows great promise as a low-cost assistive technology improving safety, autonomy, and caregiver assistance for individuals with Down syndrome.