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Autonomous wheelchair with a smart driving mode and a Wi-Fi positioning system

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapt_PT
dc.contributor.advisorPereira, João da Silva
dc.contributor.authorManjunath, Gurukiran
dc.date.accessioned2018-08-10T13:03:54Z
dc.date.available2018-08-10T13:03:54Z
dc.date.issued2018-05-21
dc.description.abstractWheelchairs are an important aid that enhances the mobility of people with several types of disabilities. Therefore, there has been considerable research and development on wheelchairs to meet the needs of the disabled. Since the early manual wheelchairs to their more recent electric powered counterparts, advancements have focused on improving autonomy in mobility. Other developments, such as Internet advancements, have developed the concept of the Internet of Things (IoT). This is a promising area that has been studied to enhance the independent operation of the electrical wheelchairs by enabling autonomous navigation and obstacle avoidance. This dissertation describes shortly the design of an autonomous wheelchair of the IPL/IT (Instituto Politécnico de Leiria/Instituto de Telecomunicações) with smart driving features for persons with visual impairments. The objective is to improve the prototype of an intelligent wheelchair. The first prototype of the wheelchair was built to control it by voice, ocular movements, and GPS (Global Positioning System). Furthermore, the IPL/IT wheelchair acquired a remote control feature which could prove useful for persons with low levels of visual impairment. This tele-assistance mode will be helpful to the family of the wheelchair user or, simply, to a health care assistant. Indoor and outdoor positioning systems, with printed directional Wi-Fi antennas, have been deployed to enable a precise location of our wheelchair. The underlying framework for the wheelchair system is the IPL/IT low cost autonomous wheelchair prototype that is based on IoT technology for improved affordability.pt_PT
dc.identifier.tid201964732pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/3443
dc.language.isoporpt_PT
dc.subjectIndoor positioning systempt_PT
dc.subjectAutonomous wheelchairpt_PT
dc.subjectInternet of things (IoT)pt_PT
dc.subjectRaspberry PIpt_PT
dc.titleAutonomous wheelchair with a smart driving mode and a Wi-Fi positioning systempt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Engenharia Informática - Computação Móvelpt_PT

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