Abstract
Bilgisayar teknolojisi gelişimiyle
birlikte, insanlar ile makineler arasındaki etkileşim artmaktadır. Ses tabanlı
komutlarla bir sistemi kontrol etmek bu alandaki en popüler uygulamalardan
biridir. Bu çalışmada ana hedef, belirli sesli komutlarla beş kontrol
edilebilir eksenden oluşan robot kolunu kontrol edebilen bir sistem
oluşturmaktır. Robot kolunu kontrol etme işlemi, kullanıcıdan alınan seslerin
ve ses tanıma kartında işlenmiş ve ses tanıma kartı tarafından tanımlanan
seslerin eşleştirilmesi ile başlar. Ardından pozitif bir eşleme varsa, sistem
tarafından ses tanıma modülü ve servo motor sürücü kartı arasında bir iletişim
sağlayan bir mikrodenetleyiciye veri gönderilir. Son olarak, mikrodenetleyici,
önceki işlem tarafından sağlanan verileri kullanarak gerekli açıları hesaplar
ve robotik kol hareketini gerçekleştirmek için bu verileri servo motor sürücü
kartına gönderir.
Keywords
References
- Furui S. (2000). Speech Recognition Technology in the Ubiquitous/ Wearable Computing Environment. IEEE International Conference on Acoustics-Speech and Signal Processing, ICASSP Proceedings, 6: 3735-3738.
- Thong J-M, Goddeau D., Litvinova A., Logan B., Moreno P. & Swain M. (2000). SpeechBot: A Speech Recognition based Audio Indexing System for the Web. International Conference on Computer-Assisted Information Retrieval, RIAO; 106-115.
- Davis C.D. (2000). Automatic Speech Recognition and Access: 20 years, 20 Months, or Tomorrow. Issue of Hearing Loss: The Journal of Self Help for Hard of Hearing People, 22, 4: 11-14.
- Wald M. (2004). Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality. 34th ASEE/IEEE Frontiers in Education Conference, Savannah, GA.
- Li M. & Okamura A.M. (2003). Recognition of Operator Motions for Real-Time Assistance using Virtual Fixtures. Proc. of the 11th Symp. on Haptic Interfaces for Virtual Environment and Teleoperator Systems.
- Uysal M. (2003). Software Development with MS Visual C# .NET. Beta Press, Istanbul.
- Yanık M. (2004). MS Visual C# .NET. Seçkin Press, Ankara.
- Palaz H. (2005). TREN-Turkish Speech Recognition Platform. Tübitak- National Institute of Electronics and Cryptology.
- Akçay B. (1994). Turkish Speech Recognition with Artificial Neural Network, Master Thesis. Hacettepe University Institute of Science, Ankara.
- Peter X., Liu A. D. C., Chan R., Chen K. & Wang Y. Z. (2005). Voice-Based Robot Control. Proceedings of the IEEE International Conference on Information Acquisition, June 27 - July 3, Hong Kong and Macau, China.
- Ozdemircan Z.M. (2008). Robot Control with Voice Command. Yildiz Technical University Faculty of Electric and Electronics Department of Computer Engineering Senior Project Istanbul.
- Nishimori M. & Saitoh T. (2007). Voice Controlled Intelligent Wheelchair, SICE Annual Conference, Kagawa University, Japan.
- Ishikawa K. & Mori Y. (2008). Development of Self-propelled Robot that Recognizes Voice Instruction. SICE Annual Conference, The University Electro-Communications, Japan.
- E. Kelebekler, M. İnal, “Controlling Devices in a Car with Voice Speech Recognition System for Real-Time Applications Laboratory”, Polytechnic Journal, 2008.
- Craig, J. (2005). Introduction to Robotics, Prentice Hall.
- Yavuz E., (2010). Implementation of Voice Expression Recognition System. Master Thesis, Marmara University, Istanbul.
- Can, B. (2007). Bir Hece-Tabanlı Türkçe Sesli İfade Tanıma Sisteminin Tasarımı Ve Gerçekleştirimi. Master Tezi, Hacettepe Üniversitesi Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye.
- EasyVR User Manual, EasyVR Commander, http://www.veear.eu
- TI launchpad software, http://www.ti.com/tools- /overview.html
- Pololu Maestro Servo Controller User’s Guide, https://www.pololu.com/docs/0J40
Abstract
The interaction between human beings and machines
has been increasing in conjunction with the development of computer technology. Controlling a system with voice-based commands is one of the most popular
applications in this area. In this study, the main goal is to build a system,
which is able to control a robotic arm comprised of five controllable axes with
certain voice commands. The process of controlling the robotic arm starts with
the matching of sounds taken from the
user and sounds which were processed in voice recognition card and were defined
by voice recognition card. Then, if there is a positive matching a data is sent
to a microcontroller, which provides a communication between voice recognition
module and servo motor drive card by the system. Finally, the microcontroller calculates the required angles by
using the data provided by the previous
process and sends this data to the servo motor drive card in order to realize
the robotic arm action.
Keywords
References
- Furui S. (2000). Speech Recognition Technology in the Ubiquitous/ Wearable Computing Environment. IEEE International Conference on Acoustics-Speech and Signal Processing, ICASSP Proceedings, 6: 3735-3738.
- Thong J-M, Goddeau D., Litvinova A., Logan B., Moreno P. & Swain M. (2000). SpeechBot: A Speech Recognition based Audio Indexing System for the Web. International Conference on Computer-Assisted Information Retrieval, RIAO; 106-115.
- Davis C.D. (2000). Automatic Speech Recognition and Access: 20 years, 20 Months, or Tomorrow. Issue of Hearing Loss: The Journal of Self Help for Hard of Hearing People, 22, 4: 11-14.
- Wald M. (2004). Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality. 34th ASEE/IEEE Frontiers in Education Conference, Savannah, GA.
- Li M. & Okamura A.M. (2003). Recognition of Operator Motions for Real-Time Assistance using Virtual Fixtures. Proc. of the 11th Symp. on Haptic Interfaces for Virtual Environment and Teleoperator Systems.
- Uysal M. (2003). Software Development with MS Visual C# .NET. Beta Press, Istanbul.
- Yanık M. (2004). MS Visual C# .NET. Seçkin Press, Ankara.
- Palaz H. (2005). TREN-Turkish Speech Recognition Platform. Tübitak- National Institute of Electronics and Cryptology.
- Akçay B. (1994). Turkish Speech Recognition with Artificial Neural Network, Master Thesis. Hacettepe University Institute of Science, Ankara.
- Peter X., Liu A. D. C., Chan R., Chen K. & Wang Y. Z. (2005). Voice-Based Robot Control. Proceedings of the IEEE International Conference on Information Acquisition, June 27 - July 3, Hong Kong and Macau, China.
- Ozdemircan Z.M. (2008). Robot Control with Voice Command. Yildiz Technical University Faculty of Electric and Electronics Department of Computer Engineering Senior Project Istanbul.
- Nishimori M. & Saitoh T. (2007). Voice Controlled Intelligent Wheelchair, SICE Annual Conference, Kagawa University, Japan.
- Ishikawa K. & Mori Y. (2008). Development of Self-propelled Robot that Recognizes Voice Instruction. SICE Annual Conference, The University Electro-Communications, Japan.
- E. Kelebekler, M. İnal, “Controlling Devices in a Car with Voice Speech Recognition System for Real-Time Applications Laboratory”, Polytechnic Journal, 2008.
- Craig, J. (2005). Introduction to Robotics, Prentice Hall.
- Yavuz E., (2010). Implementation of Voice Expression Recognition System. Master Thesis, Marmara University, Istanbul.
- Can, B. (2007). Bir Hece-Tabanlı Türkçe Sesli İfade Tanıma Sisteminin Tasarımı Ve Gerçekleştirimi. Master Tezi, Hacettepe Üniversitesi Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Bölümü, Ankara, Türkiye.
- EasyVR User Manual, EasyVR Commander, http://www.veear.eu
- TI launchpad software, http://www.ti.com/tools- /overview.html
- Pololu Maestro Servo Controller User’s Guide, https://www.pololu.com/docs/0J40
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | December 31, 2018 |
| Acceptance Date | December 12, 2018 |
| Published in Issue | Year 2018 Volume: 30 Issue: 4 |
Cite
Marmara Journal of Pure and Applied Sciences
e-ISSN : 2146-5150