Volume 8 Issue 4-1 - August 2017

  • 1. Gloves based hand gesture recognition using indian sign language

    Authors : V. K. Bairagi

    Pages : 131-137

    DOI : http://dx.doi.org/10.21172/1.841.23

    Keywords : Resistance sensor, ADXL335 accelerometer sensor, Bluetooth, Android phone, LPC2138, text to speech app.

    Abstract :

    A dumb person can’t speak like a normal person. To have communication between dumb people and normal people, gesture communication is challenging one. Image processing based techniques are requiring the camera to be in front of gesture, which may not be possible all the time. To diminish communication gap in between dumb people and normal people, hand gloves are designed which can be easily wor n and operated by the dumb person. The resistance sensor and ADXL335 accelerometer sensor are fitted in hand gloves, which can easily measure the bend and movement of hand gesture of the user. These sign signals are converted into a digital signal using ADC. The microcontroller is used to recognition hand gesture. After recognition of gesture, these signals are sent to the android phone via Bluetooth module. The received text signal at an Android phone is converted into speech signal using Text to Speech android app. The converted text to speech output is presented with the help of speaker system so that it will be helpful to normal people to understand sign performed by the dumb person . The LCD module is also used to display recognized gesture at microcontroller.

    Citing this Journal Article :

    V. K. Bairagi, "Gloves based hand gesture recognition using indian sign language", https://www.ijltet.org/journal_details.php?id=920&j_id=3932, Volume 8 Issue 4-1 - August 2017, 131-137, #ijltetorg