Persistent tracking and monitoring of animatronics using IoT capabilities

Prescott, Edward R.; Shooter, Steven B.; Meiser, Joe

doi:10.1109/cyber.2017.8446618

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…In Reference 40, concept of web tokens was used under the purview of IoT where OAuth 2.0 and JSON were used. Novel methodologies were investigated to seek for the persistent tracking as well as monitoring of healthtronics 41 . Bio‐signal processing is another key area where in‐depth research was carried for reflecting personal assistive e‐healthcare 42 .…”

Section: Related Workmentioning

confidence: 99%

Streaming service provisioning in IoT‐based healthcare: An integrated edge‐cloud perspective

Ray

Dash

Moustafa

2020

Trans Emerging Tel Tech

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Bio‐sensor data streaming and analytics is a key component of smart e‐healthcare. However, existing Internet of Things (IoT) ecosystem is unable to materialize the real‐time bio‐sensor data streaming and analytics within resource constrained environment. Moreover, traditional solutions fail to mitigate the edge‐cloud integration within a single sub‐system under IoT periphery which lead to investigate how edge‐cloud hybridization could be realized via similar set of tools. The objective of this article is to implement an integrated dual‐mode edge‐cloud system to serve streaming and analytics in real‐time. This study aims to achieve the aforesaid goal by presenting two different experiments that deals with the real‐time pulse sensor data streaming and analytics while utilizing light‐weight IoT‐supported JavaScript frameworks that includes Node.js, Johnny‐Five, Serialport.js, Plotly client, Flot.js, jQUERYy, Express Server, and Socket.io. Firstly, a standalone IoT‐edge system is developed and later, an integrated IoT‐based edge‐cloud system is developed to compare between the effectiveness of the systems. The implementation results show near correlation between the standalone edge and dual‐mode edge system. However, the dual‐mode edge‐cloud system provides more flexibility and capability to counter the bio‐sensor data streaming and analytics services within the constrained framework.

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Section: Related Workmentioning

confidence: 99%