This paper is published in Volume-7, Issue-6, 2021
Area
Internet of Things
Author
Shakthi T.
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Keywords
Healthcare Systems, Wearables, Internet of Things, Edge-Computing, RNN, etc.
Citations
IEEE
Shakthi T.. A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shakthi T. (2021). A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.
MLA
Shakthi T.. "A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2021). www.IJARIIT.com.
Shakthi T.. A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shakthi T. (2021). A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.
MLA
Shakthi T.. "A Critical Review and Analysis of a wearable sensor-based activity prediction system to facilitate edge computing in the smart healthcare system." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2021). www.IJARIIT.com.
Abstract
With the increase in IoT’s influence in healthcare systems, handling big data is a very tedious way and still a big challenge to handle big data obtained through the cloud IoT systems. That is why this paper has put forward Edge-of-Things(EoT)computing. The proposed system focuses on processing sensor data and activity prediction on devices such as laptops, GPU in a smart home. The proposed system put forward will be meticulously analyzed bringing out its advantages and disadvantages in the same domain and will be put out.