Ph.D. Tezi Görüntüleme

Student: Mete YAĞANOĞLU
Supervisor: Prof. Dr. Cemal KÖSE
Department: Bilgisayar Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University Turkey
Title of the Thesis: WEARABLE VIBRATION BASED SOUND RECOGNITION APPLICATIONS FOR DEAF
Level: Ph.D.
Acceptance Date: 4/5/2018
Number of Pages: 116
Registration Number: Di1239
Summary:

      Sensing of sound is very important in daily life of deaf people in term of quality of life. When they walk outside or are at home, they are unable to hear many important sounds. Using the wearable vibration-based system we have designed and developed, deaf people can distinguish the direction and importance of sounds occurring around them. Our wearable device consists of a microphone and vibration motor mounted on the user’s back. In the study of sound recognition, audio fingerprint method is used in real-time applications. Classification technique is used to sense direction in the developed wearable device. In this thesis, it is determined whether who talks by the one shouts. Thanks to the system we aim at developing, a deaf person can understand whether or not a person shouting and if there is a critical situation, it alerts them to it. In this thesis, a system that enables users to recognize their own parents’ voices is designed. In all these studies, a wearable and vibration-based system is designed. This study presents a new idea that will benefit deaf people. The information presented here will contribute to the research in the fields of wearable processing and human-computer interaction, which are required for the development of systems for deaf people.

      Key Words: Wearable processing, Human computer interaction, Speech recognition, Sound direction recognition, Vibration based sound detection for deaf, Audio fingerprint.