Speech recognition based microcontroller for wheelchair movements

مقدم أطروحة جامعية

Safi, Muhammad Ihsan

مشرف أطروحة جامعية

Abbas, Iyad Ibrahim

الجامعة

الجامعة التكنولوجية

الكلية

-

القسم الأكاديمي

قسم الهندسة الكهربائية

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2013

الملخص الإنجليزي

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.

التخصصات الرئيسية

الهندسة الكهربائية

الموضوعات

• الكراسي المتحركة

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-418139