Romil Chauhan, Yash S. Jain, Harsh Agarwal, A. Patil
{"title":"语音控制轮椅的实现研究","authors":"Romil Chauhan, Yash S. Jain, Harsh Agarwal, A. Patil","doi":"10.1109/ICACCS.2016.7586329","DOIUrl":null,"url":null,"abstract":"To improve the life of disabled people by use of automated tools, many scientists and organizations have been doing research on designing various products. One such intelligent product is the Voice Controlled Wheelchair. Many methods have been used to design it, each method uses a different hardware and hence providing specific functionalities. In this paper we examine few of the implemented methods and then propose a new model based on the concept of Artificial Intelligence which uses Raspberry Pi, for controlling the device, infrared and ultrasonic sensors for robust obstacle detection, USB microphone for voice input. Thus, enhancing the hardware used in previous models and at the same time achieving cost efficiency.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Study of implementation of Voice Controlled Wheelchair\",\"authors\":\"Romil Chauhan, Yash S. Jain, Harsh Agarwal, A. Patil\",\"doi\":\"10.1109/ICACCS.2016.7586329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve the life of disabled people by use of automated tools, many scientists and organizations have been doing research on designing various products. One such intelligent product is the Voice Controlled Wheelchair. Many methods have been used to design it, each method uses a different hardware and hence providing specific functionalities. In this paper we examine few of the implemented methods and then propose a new model based on the concept of Artificial Intelligence which uses Raspberry Pi, for controlling the device, infrared and ultrasonic sensors for robust obstacle detection, USB microphone for voice input. Thus, enhancing the hardware used in previous models and at the same time achieving cost efficiency.\",\"PeriodicalId\":176803,\"journal\":{\"name\":\"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCS.2016.7586329\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of implementation of Voice Controlled Wheelchair
To improve the life of disabled people by use of automated tools, many scientists and organizations have been doing research on designing various products. One such intelligent product is the Voice Controlled Wheelchair. Many methods have been used to design it, each method uses a different hardware and hence providing specific functionalities. In this paper we examine few of the implemented methods and then propose a new model based on the concept of Artificial Intelligence which uses Raspberry Pi, for controlling the device, infrared and ultrasonic sensors for robust obstacle detection, USB microphone for voice input. Thus, enhancing the hardware used in previous models and at the same time achieving cost efficiency.