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. 2022 Mar 3;23(2):898-905.
doi: 10.1109/JSEN.2022.3156819. eCollection 2023 Jan.

Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch

Kiran Saleem  1 , Misbah Saleem  2 , Rana Zeeshan Ahmad  3 , Abdul Rehman Javed  4 , Mamoun Alazab  5 , Thippa Reddy Gadekallu  6 , Ahmad Suleman  7
Affiliations

Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch

Kiran Saleem et al. IEEE Sens J. .

Abstract

Ambient intelligence plays a crucial role in healthcare situations. It provides a certain way to deal with emergencies to provide the essential resources such as nearest hospitals and emergency stations promptly to avoid deaths. Since the outbreak of Covid-19, several artificial intelligence techniques have been used. However, situation awareness is a key aspect to handling any pandemic situation. The situation-awareness approach gives patients a routine life where they are continuously monitored by caregivers through wearable sensors and alert the practitioners in case of any patient emergency. Therefore, in this paper, we propose a situation-aware mechanism to detect Covid-19 systems early and alert the user to be self-aware regarding the situation to take precautions if the situation seems unlikely to be normal. We provide Belief-Desire-Intention intelligent reasoning mechanism for the system to analyze the situation after acquiring the data from the wearable sensors and alert the user according to their environment. We use the case study for further demonstration of our proposed framework. We model the proposed system by temporal logic and map the system illustration into a simulation tool called NetLogo to determine the results of the proposed system.

Keywords: Covid-19; NetLogo; Situation-awareness; ambient intelligence; belief-desire-intention (BDI); healthcare.

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Figures

Fig. 1.
Fig. 1.
An overview of situation-aware healthcare system.
Fig. 2.
Fig. 2.
The architecture of the Early detection Situation-aware system for Covid-19 victims.
Fig. 3.
Fig. 3.
Communication protocol among agents.
Algorithm 1
Algorithm 1
Early Symptom Detection of Covid-19
Algorithm 2
Algorithm 2
Emergency Situation
Fig. 4.
Fig. 4.
Simulation environment Interface.
Fig. 5.
Fig. 5.
Intention of agents during the interaction.
Fig. 6.
Fig. 6.
Surface agent execution.
Fig. 7.
Fig. 7.
Fitbit Agent cognitive activity.
Fig. 8.
Fig. 8.
Complete Simulation.
See this image and copyright information in PMC

References

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