Smart Assistive Aid for Cognitive Decline Patients
Aishwarya R.V1, Meenakshi Sivapriya M2, Alla Sailesh3, Showme N4
1Aishwarya R V, B.Tech, Department of ECE, SRM IST, Chennai (Tamil Nadu), India.
2Meenakshi Sivapriya M., B.Tech, Department of ECE, SRM IST, Chennai (Tamil Nadu), India.
3Alla Sailesh, B.Tech, Department of ECE, SRM IST, Chennai, India
4Showme N, Sr.G, SRM IST, Chennai (Tamil Nadu), India.
Manuscript received on 02 April 2019 | Revised Manuscript received on 18 April 2019 | Manuscript Published on 30 April 2019 | PP: 7-10 | Volume-7 Issue-6S6 April 2019 | Retrieval Number: F10030476S619/2019©BEIESP | DOI: 10.35940/ijrte.F1003.0476S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Since many years, physical ailments have always been given more importance with respect to assistive technologies and for good reason. But this has led us to ignore mental health which is equally important. The stigma associated with mental health issues and the lack of awareness, results in worsening of the condition. Dementia is seen as a progressive condition, currently being detected in an increasing number of people. Thus, the relatively modern approach of overseeing and monitoring the activities of the dementia people creates a revolution in the assistive technology realm as it provides the patients the option to be self-dependent at their own habitat. The project proposes a new solution in the form of a smart wearable device, which is small, cheap to cater the need for in-home care of elderly patients. This device allows older people to live independently, in spite of the risk of forgetfulness or delusions. Using IoT, the project integrates the device with online cloud computing using Thing Speak which stores and processes the data from the RFID and GPS sensors. Complex Process Analysis is performed on the data collected to predict possible ailments or future actions of the patient. This helps doctors deliver timely treatment and families to check in on their loved ones. Using IFTTT, the project aims to notify the patients to follow their daily routines and reported to their physician. Thus, by analyzing real time visualized data and monitoring 24/7, the smart device ensures good quality independent living of elderly dementia patients.
Keywords: GPS, Cognitive decline, RFID, Sensor.
Scope of the Article: Smart Spaces