Smart Assist for Alzheimer’s Patients and Elderly People

B. Swasthik, H. N. Srihari, M. K. Vinay Kumar and R. Shashidhar ()
Additional contact information
B. Swasthik: Sri Jayachamarajendra College of Engineering, Department of Electronics and Communication, JSS Science and Technology University
H. N. Srihari: Sri Jayachamarajendra College of Engineering, Department of Electronics and Communication, JSS Science and Technology University
M. K. Vinay Kumar: Sri Jayachamarajendra College of Engineering, Department of Electronics and Communication, JSS Science and Technology University
R. Shashidhar: Sri Jayachamarajendra College of Engineering, Department of Electronics and Communication, JSS Science and Technology University

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 603-610 from Springer

Abstract: Abstract Alzheimer’s is a disease of the brain that causes problems with memory, thinking and behavior. Using advanced electronic technology, the research work aids the victims to perform their daily scheduled tasks. The research work involves solution to Alzheimer’s patients by providing them a personal assistant. The assistant consists of an event reminder, location detector, a fall sensor, a Panic or SOS button for emergency. Basically, the assistant is a wearable module, which has a display, built in power supply; also it comes with all the required modules that does the above described functions. The patient’s caretaker is responsible for input data that is, the time during which the pills have to be taken must be provided initially by him. This information is stored in the database. The main aim of the project work is tracing path as well as navigating along with emergency contacts and also health monitoring.

Keywords: Alzheimer; Wearable tech; Database; IOT (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_59

Ordering information: This item can be ordered from
http://www.springer.com/9783030418625

DOI: 10.1007/978-3-030-41862-5_59

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().