As engineers, we decided to make a project that can ease the life of disable persons .The work presented in this document is a communication bridge between normal and dumb people. The product ?Wireless Gesture Communication System? can be used as an interpreter between normal and dumb persons.
Wireless Gesture Communication System To Make Ease in Life of Disable Person
As engineers, we decided to make a project that can ease the life of disable persons .The work presented in this document is a communication bridge between normal and dumb people. The product “Wireless Gesture Communication System” can be used as an interpreter between normal and dumb persons. The Wireless Gesture Communication System is based on Pakistan Sign Language (PSL), which is a standard language used by dumb persons in Pakistan. Using gesture talk PSL can translate into voice, which can be understood by a normal person.
To make our product efficient, several gesture patterns will be recorded by number of individuals. The application contains gestures of characters, words and small sentences to translate into voice (-audio file). We are using an electrical sensor that will collect the data by detecting electrical pulses that will be sent to the microcomputer (raspberry pi 3) where the data will be processed and sent to the speaker from which voice will generate.
The MYO Armband is a Gesture Recognition device manufactured by Thalmic Labs (Canada) . The MYO enables the user to control technology wirelessly using various hand motions. It uses a set of Electromyography (EMG).
Sensors that sense electrical activity in the forearm muscles, combined with a gyroscope, accelerometer and magnetometer to recognize gestures .
First trend MYO response to create PSL based alphabets and basic word gestures.
Each gestures will be assigned a function with pose and edge as an argument.
Function onPoseEdge(pose, edge).
Pose can have following values wave left, wave right, fingers spreads and fist
Raspberry is the operating system that can be used in our project with the help of pyo connect software in Raspberry Pi the hand gestures covert into voice
SYSTEM ARCHITECTURE:

Fig 1: System Architecture.
In Fig 1: WGCS is the wireless gesture communication system which hand muscle gestures are recorded through arm band using sensor that transfer the signals to the embedded system via Bluetooth the processing engine of the embedded system generates the result in voice with the help of speakers through this process the hand gestures can be converted in voice.
System Working Mechanism:
Activity -I
The MYO armband placed on the arm is responsible for detecting the electrical signals from the muscles for every performed gesture
Activity -II
Then it transmits these signals wirelessly to the software. In the ”Wireless Gesture Communication System”.
Activity -III
The data base requires the implementation and frequent update of the Python scripts using the pycharm or visual studio software.
Activity -1V
Then these data is being translated by the Raspberry Pi 3, and results in an audible sound respective to the performed gesture
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Myo arm Band | Equipment | 1 | 35000 | 35000 |
| Raspberry Pie | Equipment | 1 | 8500 | 8500 |
| LED | Equipment | 1 | 3200 | 3200 |
| Speaker | Equipment | 1 | 1800 | 1800 |
| Power Bank | Equipment | 1 | 3500 | 3500 |
| Total in (Rs) | 52000 |
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