A. Iskanderani, Foyzur Razzaque Tamim, M. Rana, Wasif Ahmed, I. Mehedi, A. Aljohani, Abdul Latif, Shaikh Abdul Latif Shaikh, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Mahendiran T. Vellingiri
{"title":"Voice Controlled Artificial Intelligent Smart Wheelchair","authors":"A. Iskanderani, Foyzur Razzaque Tamim, M. Rana, Wasif Ahmed, I. Mehedi, A. Aljohani, Abdul Latif, Shaikh Abdul Latif Shaikh, Mohammad Shorfuzzaman, Farzana Akther, Thangam Palaniswamy, Mahendiran T. Vellingiri","doi":"10.1109/ICIAS49414.2021.9642607","DOIUrl":null,"url":null,"abstract":"An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair’s movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAS49414.2021.9642607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
An artificially intelligent wheelchair controlled by voice has been presented in this paper. A smartphone is used as an interface for implementing and automating the voice recognition process by the movement control system. The presented voice-controlled gadget is well suited for some disabled people who are unable to employ the customary joystick-operated wheelchair. The Arduino utilizes DC motors and the microcontroller circuit for supervising the wheelchair’s movement. The voice of the patient that controls the movement of the chair is recognized using graphical commands. The key attribute of this graphical commands control method is that it enables the handicapped patient to steer the wheelchair with a varying speed much the same as a standard joystick. This voice-controlled artificial intelligent wheelchair has shown good results when tried out on actual patients and also has low-performance costs.