Smart Glove for Elderly & Disabled: IoT Gesture-Based Communication | Flex Sensors Project

Objectives: The primary objective of the Smart Glove project is to provide a seamless communication interface for elderly and disabled individuals who face challenges in conventional speech or device operation. By using flex sensors embedded in a glove, the project aims to interpret hand gestures into meaningful commands that are transmitted wirelessly to an ESP32 microcontroller. This data is then processed to generate synthesized speech, enabling users to communicate effectively and independently.

Key Features:

• Gesture Recognition: Accurate detection and interpretation of hand gestures using flex sensors.
• IoT Integration: Wireless transmission of gesture data to ESP32 for real-time processing.
• Text-to-Speech (TTS): Conversion of interpreted gestures into audible speech.
• User-Friendly Design: Lightweight and ergonomic glove design for comfortable use.

Application Areas: The Smart Glove finds application in:

• Assistive Technology: Aiding individuals with disabilities in communication.
• Elderly Care: Facilitating easier communication and interaction for senior citizens.
• Healthcare: Enhancing accessibility and usability in medical environments.

Detailed Working: The glove integrates flex sensors on key finger joints to capture gesture variations. These sensors produce analog signals corresponding to finger movements, which are digitized and sent wirelessly to an ESP32 microcontroller via Bluetooth or Wi-Fi. The ESP32 processes this data using gesture recognition algorithms to identify predefined gestures. Upon recognition, the microcontroller triggers a text-to-speech module, converting the recognized gesture into spoken words using synthesized voice output.

Modules used to make Smart Glove for Elderly & Disabled: IoT Gesture-Based Communication:

1. Flex Sensors: Captures finger movements.
2. ESP32 Microcontroller: Receives and processes gesture data.
3. Bluetooth/Wi-Fi Module: Enables wireless communication.
4. Text-to-Speech Module: Converts gestures into audible speech.

Summary: The Smart Glove project leverages IoT and wearable technology to empower elderly and disabled individuals by facilitating gesture-based communication. Through its innovative design and integration of advanced sensor and communication technologies, the glove enhances accessibility and independence in everyday interactions.

Technology Domains:

• IoT (Internet of Things): Integration of sensors and wireless communication.
• Wearable Technology: Design and development of user-centric wearable devices.
• Assistive Technology: Enhancing accessibility and usability for individuals with disabilities.

Technology Sub Domains:

• Gesture Recognition: Algorithms for interpreting hand gestures from sensor data.
• Speech Synthesis: Text-to-speech conversion techniques for natural and intelligible communication.
• Wireless Communication: Bluetooth and Wi-Fi protocols for seamless data transmission.