Elevator Control Using Speech Recognition for People with Physical Disabilities

  • Authors

    • Andriana .
    • Olly Vertus
    • Riyanto Setiyono
    • Zulkarnain .
    • Pamungkas .
    https://doi.org/10.14419/ijet.v8i1.9.26669
  • Arduino uno, speech recognition modul, elevator, word
  • This research will make the design of elevators that can be helpful for persons with disabilities, namely elevators controlled by voice. Disability is someone who does not have a complete hand organ or hand organs but does not function properly, but the person can still use voice to control the elevator. The research combines speech recognition technology with electronic control technology used to make the elevator control equipment that can be controlled by voice. Speech Recognition is a system that functions to convert spoken language into the input data. The system input is human speech. The system will identify spoken words to input data for control equipment. Control of this equipment requires a simple word and can only recognize some words. These systems are usually more accurate and more easily trained, but could not recognize words that are beyond vocabulary ever taught. This system uses a sensor device sound which call Easy Voice Recognition for the training process and the minimum word recognition and for control system using arduino Uno. The word can be trained for a maximum of 32 words. The test results stated all words can be recognized as a command to control the elevator.

     

     

  • References

    1. [1] Lawrence Rabiner and Juang, Biing-Hwang. Fundamentals of Speech Recognition. United State: Prentice-Hall. 1993.

      [2] Malvino, Albert Paul. Principles of Electronic Volume 2. New York: Salemba Teknika. 2004.

      [3] M. Fugayama. Objects transfer robot arm control with Shape Similarity Using Kinematics Analysis. Thesis Program S1 Electrical Engineering University of Sam Ratulangi. Manado, 2011.

      [4] O. Katsuhiko. Automatic Control Engineering (System Settings). Erland, Jakarta,1998.

      [5] PM Dwisnanto. Design of intelligent Robot Ants Using Microcontroller AVR ATMEGA 16 to determine the shortest track. Thesis S1 Electrical Engineering University of Sam Ratulangi. Manado, 2010.

      [6] Guangming Xian, Biqing Zeng, Qiaoyun Yun, Xiongwen Pang. Non-Specific Person Continuous Speech Identification in Second Language using BPR. TELKOMNIKA Journal of Electrical Engineering. 2012;10 (7) : 1604-1609.

      [7] Yutai Wang, Xinghai Yang, Jing Zou. Research of Emotion Recognition Based on Speech and Facial Expression. TELKOMNIKA Journal of Electrical Engineering. Vol.11, No.1, January 2013, pp. 83~90. 2013;11 (1) : 83-90.

      [8] Jagan.M, Vinitha.N, Ananth.R.Voice Operated Intelligent Elevator. International Journal of Emerging Technology & Research (IJETR). Volume 1, Issue 4, May-June, 2014.

      [9] Mukesh Kumar, Shimi S.L. Voice Recognition Based Home Automation System for Paralyzed People. International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE). Volume 4, Issue 10, October 2015.

      [10] Pande Divyaprasad Digambarrao, M. Praveen Kumar. A Smart Device for People with Disabilities using ARM7. International Journal of Engineering Research & Technology (IJERT). Vol. 3 Issue12, December-2014.

      [11] Prabhakar V. Mhadse, Amol C.Wani.Speaker Identification Based Automation System through Speech Recognition. International Journal of Emerging Technology and Advanced Engineering (IJETAE). Volume 3, Issue 1, January 2013).

  • Downloads

  • How to Cite

    ., A., Vertus, O., Setiyono, R., ., Z., & ., P. (2019). Elevator Control Using Speech Recognition for People with Physical Disabilities. International Journal of Engineering & Technology, 8(1.9), 279-282. https://doi.org/10.14419/ijet.v8i1.9.26669