Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/8710
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dc.contributor.authorAbisoye, Blessing Olatunde-
dc.contributor.authorKolo, Jonathan Gana-
dc.contributor.authorJimoh, Nafisa Opemi-
dc.contributor.authorAbisoye, Opeyemi Aderiike-
dc.contributor.authorAjao, Lukman Adewale-
dc.date.accessioned2021-07-12T11:15:03Z-
dc.date.available2021-07-12T11:15:03Z-
dc.date.issued2019-
dc.identifier.citationBlessing Olatunde Abisoye, Jonathan Gana Kolo, Nafisa Opemi Jimoh, Opeyemi Aderiike Abisoye, Lukman Adewale Ajao, "Development of an SMS-Based Wearable Fall Detection System", 2019 IEEE 1st International Conference on Mechatronics, Automation and Cyber-Physical Computer System (IEEE MAC 2019), March 7-8, 2019, Pp 339-345en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/8710-
dc.description.abstractFall occurs as a result of lack of physical fitness or loses of stability. Many lives have been shortened or deformed due to the problem of fall. The morbidity and mortality resulted from this problem is very rampant among the age group of 65 and above.Many fall detection devices have poor notification mechanisms in terms of message alertness and position.This device will assist to decrease the danger linked with fall and improves the living of an individual by reducing anxiety and disquiet before a fall. It also helps the user to be more buoyancy in living on-one self and continue with normal life activities. The device also gives fast communication between the fallen patient and the caretakers for speedy medical attention. This work developedan SMS based wearablefall detection system with good notification mechanism to ensure that fall victims receive instant medical attention when a fall occurs. The system employed the use of accelerometer and gyroscope sensors to sense the orientation of the victim. To get the geographical location of the user of the device a GPS module was deployed and to send SMS alert when fall occurs a GSM modules was employed. Fall detection algorithm was developed based on threshold technique. Threshold value was set to distinguish between normal body movement and actualfall. At the completion of the design, some tests were carried out. The device was able to detect daily dynamic movement activities, back fall and side fall whether to the right or left of the user. The device is worn around the waist of the user.en_US
dc.language.isoenen_US
dc.publisher2019 IEEEen_US
dc.subjectFallen_US
dc.subjectDetectionen_US
dc.subjectgyroscopeen_US
dc.subjectaccelerometeren_US
dc.subjectSMSen_US
dc.subjectWearableen_US
dc.titleDevelopment of an SMS-Based Wearable Fall Detection Systemen_US
dc.typeArticleen_US
Appears in Collections:Electrical/Electronic Engineering

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