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dc.contributor.authorAnjana, KKVS
dc.contributor.authorKathriarachchi, RPS
dc.contributor.authorKulasekara, DMR
dc.date.accessioned2020-02-06T15:52:35Z
dc.date.available2020-02-06T15:52:35Z
dc.date.issued2018
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2522
dc.descriptionArticle Full Texten_US
dc.description.abstractIn the new era of communications and technology the Internet of Things (IoT) connects devices, sensors, appliances, people, and things. The IoT can help to enhance the living style of the humans in wider area. Most importantly IoT devices will help to safe guard the living beings ever than before. Most of the elders wish to live independently at homes. Some activity in their daily life is prone to have some accidents, such as falls and heart-attacks. Falls can make people in fatal conditions, even death. Also, Heart attack is a global leading cause of death for both gender of elders and the occurrence is higher than other incidences, the research will target to the adults who are suffering from illness and reduce the death rate of heart attack and reduce the bad effects of fallings early as possible. The research was conducted within applied research paradigm. The intention was to develop an IoT Based SMART Wearable device. The accelerometer uses to detect the falls and GSM based wearable device is use for the notation purpose. The System will generate automatic call as an alert will be sent to family members with the location. This research also can distinguish condition of people between falls and activity doing daily works. When the system starts monitoring and as soon as patient heart beat goes above or lower a certain limit, the system sends an alert to the elder which then transmits this over the internet and alerts the doctors as well as family member. This helps to determine the problem earlier to reduce the death rate of heart attack.en_US
dc.language.isoenen_US
dc.subjectInternet of Thingsen_US
dc.subjectWearable deviceen_US
dc.subjectHISen_US
dc.titleInternet of Things Based Falls Detection and Heart Attack Detection System for Adults : Smart Wearableen_US
dc.typeArticle Full Texten_US
dc.identifier.journalKDUIRC-2018en_US
dc.identifier.pgnos301-309en_US


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