Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/76948
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dc.contributor.authorChang, Crystal Xuan Li
dc.date.accessioned2019-04-25T06:57:48Z
dc.date.available2019-04-25T06:57:48Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/76948
dc.description.abstractPersonal robots have been around for a while but have had problems taking off due to their hefty price tags. Affordability of processors like the Raspberry Pi and Arduino opened up the possibility of mass market personal companion robots for the elderly which may tackle these problems. However, what we need to consider when designing such a system would be to balance the robustness of the software solutions with the computational abilities of these processors. The proposed system is El-C (from Elderly Companion), stylised as Elcie, an elderly companion robot. Elcie is optimised for its hardware and multi-pronged with: • Elderly tracking based on Haar cascade and DLib-based facial recognition tracking, • Social hub feature allowing elderly to interact with IOT and internet chat messenger Telegram • through intuitive speech and Quick Response (QR) codes as the user interface (UI).en_US
dc.format.extent96 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleElcie, an elderly care companion roboten_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorOh Hong Lyeen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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