R. Niranjana, M. Ibrahim, R. Ajay, V. B. Arunnachalam, R. Krishnan, K. Narayanan
{"title":"Effectual Gesture Controlled Smart Wheelchair for the Incapacitated","authors":"R. Niranjana, M. Ibrahim, R. Ajay, V. B. Arunnachalam, R. Krishnan, K. Narayanan","doi":"10.1109/ICOSEC54921.2022.9952008","DOIUrl":null,"url":null,"abstract":"The work proposed here is the usage of MEMS accelerometers and flex sensors to create a wheelchair control that is accessible to individuals with disabilities. This control can be used by someone who can’t move their hands to move them or recognize hand signals. In a short period of time, wheelchair technology has advanced significantly. Despite all of these advancements, quadriplegics still require assistance from a second person to navigate obstacles in their wheelchairs. This wheelchair is controlled by simple hand movements. The sensors detect these movements, which the PIC microcontroller converts to digital language, which the system recognizes as a required movement. There’s also a plug-and-play unit and a four-button keypad for persons of various physical abilities. Proteus, a package of simulation tools, is utilized throughout the design process to improve quality and flexibility.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSEC54921.2022.9952008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The work proposed here is the usage of MEMS accelerometers and flex sensors to create a wheelchair control that is accessible to individuals with disabilities. This control can be used by someone who can’t move their hands to move them or recognize hand signals. In a short period of time, wheelchair technology has advanced significantly. Despite all of these advancements, quadriplegics still require assistance from a second person to navigate obstacles in their wheelchairs. This wheelchair is controlled by simple hand movements. The sensors detect these movements, which the PIC microcontroller converts to digital language, which the system recognizes as a required movement. There’s also a plug-and-play unit and a four-button keypad for persons of various physical abilities. Proteus, a package of simulation tools, is utilized throughout the design process to improve quality and flexibility.