K.Kalirajan, Department of ECE, KPR Institute of Engineering and Technology, India
K.Balaji, Department of CSE, SNS College of Engineering, India
G.Shanthi, Department of ECE, Rajalakshmi Institute of Technology, India
R. Balamurugesh, Silicon Systems, India
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :443-446
Abstract
This paper deals with livelihood monitoring and care assessment of old age people based on internet of things. The usage of electrical and non-electrical home appliances as well as health conditions are monitored by the sensors such as electrical sensor, force sensor, temperature sensor and contact sensor. All sensors are integrated into a common sensor node and sensor data are analyzed to predict wellness parameters. Based on the wellness parameters, the daily activities of elderly people are classified as neither normal nor abnormal. In case of abnormal condition, the automatic alert will be given to nearby hospitals and local care takers for immediate medical assistance. Additionally, the well-being conditions are periodically updated in IoT cloud for real time monitoring. Experiment was conducted and the performance was tested by the prediction of well-being conditions based on usage and non-usage of home appliances. From results, it is inferred that the proposed approach suffices oldage community to lead safe life without fear.
Keywords
IoT, remote livelihood monitoring, sensor-based care assessment, wellness parameter
Cite this article
K.Kalirajan, K.Balaji, G.Shanthi and R. Balamurugesh, “IOT Based Remote Livelihood Monitoring For Elderly People Care Assessment”, Innovations in Information and Communication Technology, pp. 443-446, December 2020.
Copyright
© 2020 K.Kalirajan, K.Balaji, G.Shanthi and R. Balamurugesh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
