Speech recognition based microcontroller for wheelchair movements

Dissertant

Safi, Muhammad Ihsan

Thesis advisor

Abbas, Iyad Ibrahim

University

University of Technology

Faculty

-

Department

Department of Electrical Engineering

University Country

Iraq

Degree

Master

Degree Date

2013

English Abstract

This work introduced an approach to design and implement a system to control the movement of wheelchair by means of the human voice recognition for paralyzed patients.

This work is divided into two parts: the first part contains the speaker words recognition simulation in computer with the aid of MATLAB (R2012a), which recognizes the speaker (user) and the command in Arabic for the four directions with stop instruction.

It contained preprocessing, feature extraction and feature classification.

Preprocessing is generating a signal with a fine structure as close as possible to that of the original speech signal and produces a data reduction for unwanted data with easier task analysis.

The feature extraction in this work based on Mel-Frequency Cepstral Coefficient (MFCC) technique which combined with its first and second derivative including power computation of the speech frames that yields the total multi-dimensional of features as: (E, MFCC, aE, aMFCC, aaE, AAMFCC).

The Dynamic Time warping (DTw) is used for feature classification, which is a method for computing the similarity between two sequences.

The experimental results showed that the proposed methods gave arecognition rate 100o/o of the already trained speakers.

The test was conducted at different sound levels of the surrounding environment (53 to 73) dB as measured by Sound Level Meter (SLM).

The second part is the interface between computer and microcontroller to control the direction of wheelchair through the command coming from the computer according to speech recognition.

The wheelchair is derived by two DC motors, which are controlled by microcontroller with H-bridge relays.

Main Subjects

Electronic engineering

Topics

• Wheelchairs

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-418139