Smart Speaking Glove for Deaf and Dumb

Download Full-Text PDF Cite this Publication
Text Only Version

 

Smart Speaking Glove for Deaf and Dumb

P. Mohan1, M. Mohan Raj2, M. Kathirvel3

P. A. Kasthurirngan4, S. Musharaff5, T. Nirmal Kumar6 III Year, Department of Electrical and Electronics Engineering, Rajagopal Polytechnic College, Gudiyatham, Tamil Nadu, India

Abstract:- Smart hand gloves help physically disabled people to communicate with normal people. As Dump person cannot speak then this smart gloves helps him to convert this hand gesture into text or pre-recorded voice. This also help normal person to understand when he is trying to say and do accordingly this smart gloves has facility of home appliance control from which a physically impaired person become independent to live the main objective or the implemented paper is to develop a reliable easy to use light weight. Smart hand gloves system which can minimize the obstacles for disabled people.

  1. INTRODUCTION

    Sign language is the language used by deaf and mute people and it is a communication skill that uses gestures instead of sound to convey meaning simultaneously combining hand shapes, orientations and movement of the hands, arms or body and facial expressions to express fluidly a speakers thoughts. Signs are used to communicate words and sentences to audience. A gesture in a sign language is a particular movement of the hands with a specific shape made out of them. A sign language usually provides sign for whole words. It can also provide sign for letters to perform words that dont have corresponding sign in that sign language [1]. In this paper Flex Sensor Plays the major role, Flex sensors are sensors that change in resistance depending on the amount of bend on the sensor.

    In this paper we propose a Sign Language Glove which will assist those people who are suffering for any kind of speech defect to communicate through gestures i.e. with the help of single handed sign language the user will make gestures of alphabets. The glove will record all the gestures made by the user and then it will translate these gestures into visual form as well as in audio form [2].

    This paper uses ATmega328 microcontroller to control all the processes and flex sensors along with accelerometer sensors will track the movement of fingers as well as entire palm.

  2. EXISTING SYSTEM

    In existing system, there is no circuit is used to announce their thoughts of physically challenged peoples. And gesture based papers or circuits are not available in markets. In existing method is sign language, it couldnt understand all people for communication. There after a circuit is used to design predetermined postures are captured and matching the captured image with deaf & dump peoples sign language.

  3. PROPOSED SYSTEM

    In proposed system we have using flex sensor to converts sign language to voice as well as displays text in LCD display of controller [3]. A gesture based circuit is

    designed to express the need of speechless patient & physically challenged people. The pre-determined gesture is stored in microcontroller to process what types of gesture is generating and expressed thought is announce as voice.

    LCD

    LCD

    ARDUINO ATMEGA328

    ARDUINO ATMEGA328

     

    POWER SUPPLY

    POWER SUPPLY

     

    AUDIO PLAYBACK APR33A3

    FLUX SENSOR1

    SPEAKER

    SPEAKER

     

    FLUX SENSOR2

    Fig.1 Block Diagram

  4. BLOCK DIAGRAM DESCRIPTION Arduino is an open-source computer hardware and software company. A microcontroller board contains on- board power supply, USB port to communicate with PC, and an Atmel328 microcontroller chip. A glove is used to fix the flex sensor to detect the sign language input to the microcontroller to process the gesture output as voice as well as displays in LCD [4]. The power supply section is in-built in the Arduino board in different power source input. First one is power adaptor input and second is 6 UNNI USB input and it will acts as a serial communication with computer system and program dumping port [5].

    A 16×2 LCD display is used to displays the gesture patterns. The displaying message is also announced as a voice using APR33A3 voice board. The voice is pre- recorded in this voice board and playback when the particular gesture is detected corresponding voice is announced in speaker [6]. The normal electromagnet speaker is used to detect the voice from the input of voice board.

  5. WORKING PRINCIPLE

    Fig.2 Experimental Setup

    The work of this paper start from movement of hand gloves where the flex sensors are attached, and the value of sensor changes when its experiences the bending. The flex sensor is another type of potentiometer are attach to the fingers when we bend the figure the value of the sensor get changes. The changing value of the sensor is depend upon the resistance and applied angle of the bending when we bend the sensor at some particular angle we can see the value of the resistance is increase and accordingly the output get reduced [7]. On the other way we can say that its like a inversely proportional when the resistance of the sensor is increase at that instant the value of output decrease and accordingly we can make paper by getting the advantage of this process.

    Fig.3 Prototype of Experiment Setup

  6. CIRCUITDIAGRAM DESCRIPTION

    The Atmega328 Microcontroller is used in the arduino board and it contains on board power supply and USB port to communicate with PC. In this circuit diagram the LCD is connected in digital IO ports of 13 to 8 for displays what action is going or expressing and the 2 flex sensors are connected to analog inputs A0, A1. The flex sensor is fixed with glows which are wearing to disabilities of partial disabilities. The actions are pre-defined and it is already fixed in microcontroller. When the action is implemented by the people the voice play back will activate and announce the pre-recorded action sequence. We can change the action voice through voice recorder using microphone in the voice playback board. The sign language action determines the need of disabilities to express what they though and what they need or what necessary things they need. The action expression will change through microcontroller coding and we can add more expression action by increasing more flex sensors.

    Fig.4 Circuit Diagram of Experiment

  7. ARDUINO UNO

    Arduino is an open-source electronics prototyping platform based on flexible, easy-to-use hardware and software. It’s intended for artists, designers, hobbyists and anyone interested in creating interactive objects or environments.

    Fig.5 ARDUINO Board

    The Arduino Uno is a microcontroller board based on the ATmega328 (datasheet). It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started.

    The Uno differs from all preceding boards in that it does not use the FTDI USB-to-serial driver chip. Instead, it features the Atmega16U2 (Atmega8U2 up to version R2) programmed as a USB-to-serial converter.

      1. FLEX SENSOR

        A flex sensor or bend sensor is a sensor that measures the amount of deflection or bending. Usually, the sensor is stuck to the surface, and resistance of sensor element is

        varied by bending the surface. Since the resistance is directly proportional to the amount of bend it is used as goniometer, and often caled flexible potentiometer.

        This flex sensor is a variable resistor like no other. The resistance of the flex sensor increases as the body of the component bends. Sensors like these were used in the Nintendo Power Glove. They can also be used as door sensors, robot whisker sensors, or a primary component in creating sentient stuffed animals.

        Fig.6 Flex Sensor

      2. ADVANTAGES
        • A gesture based circuit is used for speechless patient & physically challenged people.
        • Pre-determined gesture is used to express their thoughts and announced as voice.
        • A flex sensor is used to detect the expression and processed by microcontroller.
        • It is requires fewer components so its cost is low
        • Small in size; due to small size we can place its hardware on our hand easily
        • Light weight
        • Flexible to users
        • Easy to operate; anyone can operate it easily
        • Real time translation
      3. DISADVANTAGES
        • Accuracy and processing of system may be slow
        • We may have some difficulty in operating the glove
        • These gloves cannot capture the facial expression
        • Many deaf people may not want to carry around the glove or may find that the computer processing is too slow or unnatural
      4. APPLICATIONS
    • Useful for Physically challenged peoples
    • Conveying information related operations
    • Provides easy communication between the speech impaired people and the natural people
    • Used for disabilities
    • Handicaps
    • Panic switch helps in tracking the location of the user in emergency
  8. CONCLUSION:

    This system will be useful for physically challenged people and will tackle the gap between them and normal people. Since it is two way portable communication systems, it can be used at any time.

  9. REFERENCES
  1. Ali, S. Munawwar, B. Nadeem, “Electroni Speaking Glove for Speechless Patients”, August 2010, Bachelor of Electronic Engineering FYP Report, FEST, HIIT, Hamdard University, Karachi, Pakistan
  2. N. P. Bhatti, A. Baqai, B. S. Chowdhry, M. A. Unar, “Electronic Hand Glove for Speech Impaired and Paralyzed Patients”, EIR Magazine, May 2009, pp. 59-63, Karachi,

    Pakistan

  3. B. B. Edin, L. Ascari, L. Beccai, S. Roccella, J. J. Cabibihan,

    M. C. Carrozza, “Bio-Inspired Sensorization of a Biomechatronic Robot Hand for the Graspand-Lift Task”, Brain Research Bulletin, Volume 75, Issue 6, 15 April 2008, pp. 785-795 [CrossRef]

  4. M. Wald, “Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time”, Proceedings of 10th International Conference on Computers Helping People with Special Needs ICCHP 2006, LNCS 4061, pp. 683-690
  5. L. K. Simone, E. Elovic, U. Kalambur, D. Kamper, “A Low Cost Method to Measure Finger Flexion in Individuals with Reduced Hand and Finger Range of Motion”, 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2004 (IEMBS ’04), Volume 2, 2004, pp. 4791-4794
  6. Jingdong Zhao, Li Jiang, Shicai Shi, Hegao Cai, Hong Liu,

    G. Hirzinger, “A Five-fingered Underactuated Prosthetic Hand System”, Proceedings of the 2006 IEEE International Conference on Mechatronics and Automation, June 2006, pp. 1453-1458

  7. Flex Point Inc. USA, “http://www.flexpoint.com”, Last Accessed on September 06, 2010 Magnevation SpeakJet Inc. USA, “http://www.speakjet.com”, Last Accessed on September 06, 2010

Leave a Reply

Your email address will not be published. Required fields are marked *