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Medical & Biological Engineering & Computing

, Volume 57, Issue 1, pp 231–244 | Cite as

A comprehensive framework for student stress monitoring in fog-cloud IoT environment: m-health perspective

  • Prabal VermaEmail author
  • Sandeep K Sood
Original Article
  • 163 Downloads

Abstract

Over the last few years, Internet of Things (IoT) has opened the doors to innovations that facilitate interactions among things and humans. Focusing on healthcare domain, IoT devices such as medical sensors, visual sensors, cameras, and wireless sensor network are leading this evolutionary trend. In this direction, the paper proposes a novel, IoT-aware student-centric stress monitoring framework to predict student stress index at a particular context. Bayesian Belief Network (BBN) is used to classify the stress event as normal or abnormal using physiological readings collected from medical sensors at fog layer. Abnormal temporal structural data which is time-enriched dataset sequence is analyzed for various stress-related parameters at cloud layer. To compute the student stress index, a two-stage Temporal Dynamic Bayesian Network (TDBN) model is formed. This model computes stress based on four parameters, namely, leaf node evidences, workload, context, and student health trait. After computing the stress index of the student, decisions are taken in the form of alert generation mechanism with the deliverance of time-sensitive information to caretaker or responder. Experiments are conducted both at fog and cloud layer which hold evidence for the utility and accuracy of the BBN classifier and TDBN predictive model in our proposed system.

Graphical Abstract

Student stress monitoring in IoT-Fog Environment

Keywords

Internet of things (IoT) Student stress index Alert generation Fog-cloud computing Temporal dynamic Bayesian network model (TDBN) 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© International Federation for Medical and Biological Engineering 2018

Authors and Affiliations

  1. 1.Computer Science and EngineeringGuru Nanak Dev UniversityAmritsarIndia

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