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Author(s):

Mohamed Jaffar | MOHAMED NADEEM
Keywords:

Smart Assistive Glove, Touch Sensors, Arduino Nano Microcontroller, Disability Support, Smart Healthcare, Accessibility.
Abstract:
This Project Presents A Modified And Improved Version Of A Wearable Communication Glove Designed For Speech-impaired Individuals. An Existing Gesture-glove Concept Was Analyzed And Redesigned To Improve Reliability, Usability, And Healthcare Applicability. Initially, The System Used Flex Sensors For Gesture Detection. During Testing, The Flex Sensors Produced Unstable Readings And Inconsistent Outputs, Making The System Difficult To Use Reliably. To Solve This Issue, The Sensing Method Was Redesigned Using Capacitive Touch Sensors (TTP223 Modules). A Thumb-touch Interaction Method Was Introduced, Allowing The User To Easily Select Communication Commands. The Modified System Uses An Arduino Nano Microcontroller, I2C LCD Display, DFP Layer Mini Audio Module, Speaker, And Capacitive Touch Sensors. When The User Touches A Sensor, Predefined Messages Are Displayed On The LCD And Spoken Through The Speaker. The Project Focuses On Healthcare Assistance For Speech-impaired Individuals By Providing A Simple, Low-cost, Reliable, And User-friendly Communication System.