Smart Glove For Real-time Sign Language Translation Using Arduino

Abstract

The Smart Glove For Sign Detection Represents An Advanced Assistive Technology Aimed At Enabling Seamless Communication Between Individuals With Hearing Or Speech Impairments And The General Population. While Sign Language Serves As An Effective Medium Within The Deaf Community, It Often Becomes A Communication Barrier When Engaging With People Unfamiliar With Its Gestures. To Address This Limitation, The Proposed System Introduces A Sensor-based Wearable Glove Capable Of Translating Sign Language Gestures Into Readable Text Or Audible Speech In Real Time. The Glove Is Equipped With Flex Sensors, Accelerometers, And Gyroscopes Strategically Placed Along The Fingers And Palm To Accurately Capture The Motion And Positioning Of The Hand. These Sensors Generate Analog Signals Corresponding To Specific Gestures, Which Are Then Processed By A Microcontroller Such As Arduino Or Raspberry Pi. The Acquired Data Is Compared Against A Pre-trained Dataset Or Machine Learning Model To Determine The Intended Sign. Once The Gesture Is Identified, The System Converts It Into Text Displayed On An LCD Screen Or Speech Output Using A Voice Synthesis Module, Facilitating Effective Two-way Communication Between Users. By Integrating IoT Technologies, Embedded Systems, And Gesture Recognition Algorithms, The Smart Glove Ensures High Accuracy, Low Latency, And Real-time Performance. Its Lightweight And Cost-effective Design Enhances Portability And User Comfort, Making It Suitable For Everyday Use. Ultimately, This Project Demonstrates The Potential Of Wearable Computing And Artificial Intelligence To Promote Inclusivity,accessibility, And Innovation In The Field Of Assistive Communication And Human–computer Interaction.

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