INTERNET OF THINGS PROJECT PROPOSAL SMART GLOVES FOR DISABLE PEOPLE PROPOSED BY MEHULI MUKHERJEE AND SUHANA CHOWDHURY THE PROJECT BRIEF INTRODUCTION People with speech disabilities use sign language based on hand gestures with certain movements to represent the language in which they speak of gesture in sign language, a movement defined by hands, with a cross finger shape. This project could convert hand gestures to electrical signals which can be sent to a micro-controller that converts the signals into alphabets or commands. The device consists of a wireless glove with flex sensors and an accelerometer. These sensors feel the movement of the hand and fingers ,then programmed by the Arduino uno microcontroller. This microcontroller will translate these movements from hand to English speech stigmatization and also there is electronic display gives text to the corresponding gestures and outputs the sound in English. The practical application of the device provides an effective means of communication for both the deaf and mute and ordinary people and reduce the communication gap between them WORKING OF THIS SMART GLOVE The glove’s objective is to detect different hand gestures and process them to output the letters of the American Sign Language (ASL). The proposed system consists of primarily two sections: 1. Transmitter Section 2. Receiver Section • The devices contained in the transmitter section are: 1. Flex sensors 2. Accelerometer Sensor 3. Arduino Pro-Micro Microcontroller 4. HC-05 Bluetooth Module. WORKING AND METHODOLOGY OF THIS SMART GLOVE The gloves contain flex sensors which are the main sensors for this product. They are devices which can show variable resistance based on various bend angles. They send analog signal to the microcontroller. The sensors are connected in a voltage divider circuit such that the resultant voltage is sent to one analog port of the micro-controller. The glove is mounted with 5 flex sensors, each on one finger of the glove. The American Sign Language also contains letters which involve wrist movements while trying to communicate. Hence, an accelerometer sensor also supports the micro-controller to sense the gestures. The micro-controller will map these analog current signals and accelerometer values to codes corresponding to each gesture. The device contained in the receiver section is a laptop. However, the glove can communicate with any bluetooth receiver to perform appropriate actions. The codes that are mapped by the micro-controller are processed by the receiver so that the laptop can show the detected text on the screen. It can also convert the speech to text which can be played by a speaker SYSTEM BLOCK DIAGRAM TRANSMITTER SECTION RECEIVER SECTION VISUAL PRESENTATION OF THE PROCESS FLOW SIMPLE PROCESS FLOWCHART COMPONENTS Flex sensors: Flex sensors generally detect the amount of bending and deflection. As the bending increases, the resistance also increases. Based on the surface linearity, the flex sensor resistance also increases. A flex sensor is a two terminal device and has two pins namely P1 and P2. P1 is usually connected to the positive of the power source and P2 is connected to the ground. Arduino Uno: Arduino maybe a single board microcontroller meant to form the appliance more accessible which is interactive objects and its surroundings. The hardware board consists of digital pins and analog pins and it can be interfaced with various expansion boards and circuits. GSM: A GPRS or a GSM module is generally used as a communication between a microcontroller and GSM network. The SIM900A is a GSM/GPRS module which is generally used in mobile phones. This module is generally used for developing IoT based projects and embedded applications. Wireless serial port module: This module is compatible with the Arduino uno boards and it is used for two way RF communication. It has 5 pins namely ground power supply, transmitter, receiver and a command pin. Raspberry pi: The raspberry Pi uses a next generation main processor. It has 40 I/O headers. This device also includes a Bluetooth module and USB boot. It has upgraded its connectivity with Bluetooth low energy and Wi-Fi module. It has improved its power management to support external USB devices. Accelerometer sensor: An accelerometer is an electronic sensor that measures the acceleration forces acting on an object, in order to determine the object’s position in space and monitor the object’s movement. Measuring acceleration makes it possible to obtain information such as object inclination and vibration. SRENGTHS: 1. The end product can be used as a teaching and communication tool for the physically challenged children by using sign language. We are considering glove based gesture recognition as it is simple and user friendly. 2. This glove will help develop a sense of empathy towards physically challenged children. OPPORTUNITIES:: 1. The glove is modeled based on a particular hand. Since hands differ in size and freedom of motion, we can improve the glove to work with every hand size by giving it adaptive learning capabilities. 2. In the current project, the output is displayed using a Personal Computer. To improvise the portability, an Android application can be developed for displaying the text and speech output on an Android device. 3. If and when the product is produced on a large scale, the entire circuit can be embedded into a single chip. 4. This prototype can also be modified for the benefit of visually impaired children by adding ultrasonic sensors. Smart gloves are poised to be a big part of the future of computing, so our prototype has the potential to have a much broader impact in the marketplace even if it started out as a project with a much more humanitarian motive. WEAKNESS:: 1. It can be quite bulky to wear and hence is difficult to handle. 2. The device consists of delicate components which are quite expensive.. Not easy to afford by everyone 3. accuracy of recognition may fluctuate COSTING: Flex Sensor 2.2 inch Bend Sensor for Hand Recognition - Rs 369 Arduino UNO R3 SMD Atmega328P Board - Clone Compatible Model - Rs 385 SIM800A GSM GPRS Module with RS232 Interface and SMA Antenna - Rs 825 HC-12 433Mhz SI4463 Wireless Serial Module - Rs 495 Raspberry Pi 3 - Model B+ - 1.4Ghz 64Ghz Processor with 1 GB Ram - Rs 2805 ADXL335 - Triple Axis Linear Accelerometer - Rs 335 Leather hand gloves - Rs 429 Total estimated cost of the leather hand gloves - Rs 5643 REFERENCES: https://create.arduino.cc/projecthub/prakhargurunani/sma rt-hand-glove-84e046 https://www.researchgate.net/publication/344360455_IOT_ Based_Real_Time_Measurement_of_Temperature_for_Inver ter_Using_Low_Cost_Node_Microcontroller
