Elderly care home robot using emotion recognition, voice recognition and medicine scheduling

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dc.contributor.authorKularatne, BMUS
dc.contributor.authorBasnayake, BMJN
dc.contributor.authorSathmini, PDLAM
dc.contributor.authorSewwandi, GVU
dc.contributor.authorRajapaksha, S
dc.contributor.authorDe Silva, D
dc.contributor.editorSumathipala, KASN
dc.contributor.editorGanegoda, GU
dc.contributor.editorPiyathilake, ITS
dc.contributor.editorManawadu, IN
dc.date.accessioned2023-09-05T07:48:34Z
dc.date.available2023-09-05T07:48:34Z
dc.date.issued2022-12
dc.description.abstractThe robotic concept is used for several tasks to easier human day-to-day tasks. There are various recreational studies have been done on the elderly people’s care system. In this study, the system can identify the elderly people’s emotional status using thermal image processing that eliminates the halo effect issue in thermal images using a single discriminator Cycle-GAN model, serving medicine to elderly people by moving towards the elderly person while avoiding obstacles using point to point algorithm and obstacle avoidance and identify the semantic analysis by using web ontology based language. The integrated system is evaluated using the Gazebo simulator because the cost is lower than implementing the features in a real robot.en_US
dc.identifier.citation*****en_US
dc.identifier.conference7th International Conference in Information Technology Research 2022en_US
dc.identifier.departmentInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.identifier.emailit19029528@my.sliit.lken_US
dc.identifier.emailit19100876@my.sliit.lken_US
dc.identifier.emailit19050522@my.sliit.lken_US
dc.identifier.emailit19104386@my.sliit.lken_US
dc.identifier.emailsamantha.r@sliit.lken_US
dc.identifier.emaildilshan.i@sliit.lken_US
dc.identifier.facultyITen_US
dc.identifier.pgnosp. 45en_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.proceedingProceedings of the 7th International Conference in Information Technology Research 2022en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/21373
dc.identifier.year2022en_US
dc.language.isoenen_US
dc.publisherInformation Technology Research Unit, Faculty of Information Technology, University of Moratuwa.en_US
dc.relation.urihttps://icitr.uom.lk/past-abstractsen_US
dc.subjectComputersen_US
dc.subjectEmotion recognitionen_US
dc.subjectWeb ontologyen_US
dc.subjectRobot vision systemsen_US
dc.subjectHumanrobot interactionen_US
dc.titleElderly care home robot using emotion recognition, voice recognition and medicine schedulingen_US
dc.typeConference-Abstracten_US

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