# Wearable Vibration Based Computer Interaction and Communication System for Deaf
## 1 Introduction  
In this technological era, information technology is effectively being used in numerous aspects of our lives. The communication problems between humans and information have gradually made machines more important.  
One of speech recognition systems' most significant purposes is to provide human-computer communication through speech communication from users in a widespread manner and enable a more extensive use of computer systems that facilitate the work of people in many fields.  
Speech is the primary form of communication among people. People have the ability to understand the meaning and to recognize the speaker, gender of speaker, age and emotional situationof the speaker [1]. Voice communication among people starts with a thought and intent activating neural actions generating speech sounds in the brain. The listener receives the speech through the auditory system converting the speech to neural signals that the brain can comprehend [2;3].  
Many important computer and internet technology based studies intended to facilitate the lives of hearing impaired individuals are being performed. Through these studies, attempts are being made to improve the living quality of hearing impaired individuals.  
The most important problem of hearing impaired individuals is their inability to perceive the point where the sound is coming from. In this study, our primary objective was to enable hearing impaired individuals to perceive the direction of sound and to turn towards that direction. Another objective was to ensure hearing impaired individuals can disambiguate their attention by perceiving whether the speaker is speaking softly or loudly.  
Basically, the work performed by a voice recognition application is to receive the speech data and to estimate what is being said. For this purpose, the sound received from the mic, in other words the analogue signal is first converted to digital and the attributes of the acoustic signal is obtained for the determination of required properties.  
The sound wave forming the sound includes two significant properties. These properties are amplitude and frequency. While frequency determines the treble and gravity properties of sound, the amplitude determines the severity of sound and its energy. Sound recognition systems benefit from analysis and sorting of acoustic signals.  
As shown in Figure 1, our wearable device has also been tested in real time and the results have been compared. In Figure 1, the device is mounted on the clothes of deaf users and it responds instantaneously to vibrations in real time and detects the deaf person.  
As can be seen in the system in Figure 2, data obtained from individuals are transferred to the computer via the system we developed. Through this process, the obtained data passes the stages of pre-processing, feature extraction and classification, then the direction of voices is detected; this has also been tested in real time in this study. Subjects were given real time voices and whether they could understand where the voices were coming from was observed.  
Figure 1: In testing our wearable device on the user in real time.  
The main purpose of this study was to let people with hearing disabilities hear sounds that were coming from behind such as brake sounds and horn sounds. Sounds coming from behind are a significant source of anxiety for people with hearing disabilities. In addition, hearing the sounds of brakes and horns is important and allows people with hearing disabilities to have safer journeys. It will provide immediate extra perception and decision capabilities in real time to people with hearing disabilities; the aim is to make a product that can be used in daily life by people with hearing disabilities and to make their lives more prosperous.