KVO169: IoT Based Paralysis Patient Healthcare With Hand Gesture Recognition Using ESP32

GAYATHIRI A/P SELVARAJU Universiti Teknikal Malaysia Melaka (UTeM)

I3DC24 | Tertiary (Online)

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This project aims to enhance communication for paralysis patients and caregivers with affordable wearable devices featuring motion detection. Unlike bulky and costly options, our user-friendly device boosts patient independence. Patients control it via hand movements, transmitting commands wirelessly to a receiver system. Vital signs like body temperature, heart rate, and oxygen levels are displayed on an OLED screen and sent online to a mobile phone. As a result, this system improves healthcare access and care quality for patients and caregivers. Overall, this IoT healthcare solution meets the need for affordable, user-friendly devices, improving patient communication and monitoring while reassuring caregivers.