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. 2021 Sep 25;45(11):95.
doi: 10.1007/s10916-021-01771-2.

Multi Agent Architecture for Automated Health Coaching

Ajith Vemuri  1 , Keith Decker  2 , Mathew Saponaro  3 , Gregory Dominick  4
Affiliations

Multi Agent Architecture for Automated Health Coaching

Ajith Vemuri et al. J Med Syst. .

Abstract

For software applications in health coaching domains to be effective, it is vital that they address issues of privacy, modularity, scalability, individualization, data integration, transferability, coordination and flexibility. In this paper, we propose a novel generic multi-agent architecture which serves as a template for health coaching applications involving wearable sensors. Analyzer and communication modules allow different functionalities like goal formation, planning, scheduling, event detection, learning, inter-agent + human communication and long-term data collection, based on the capabilities of the underlying sensor platforms. To show the flexibility of our proposed architecture, we have successfully built two different health coaching systems with the proposed architecture: (1) a static system based on the Fitbit platform where the coaching is done at specific preset times to encourage increased physical activity, and (2) a dynamic system based on the Apple Watch platform where the smart coach adapts and learns when to intervene to encourage physical activity and reduce sedentary behavior.

Keywords: Architecture; Health coaching; Multi-agents; e-coach.

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Conflict of interest statement

Conflict of Interest: Ajith Vemuri declares he has no conflict of interest. Mathew Sapponaro declares he has no conflict of interest. Keith Decker declares he has no conflict of interest. Gregory Dominick declares he has no conflict of interest.

Figures

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Fig. 1
SMART-ALEC Architecture
Fig. 2
Fig. 2
BeSmart architecture
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Fig. 3
Walking with JITAIs
See this image and copyright information in PMC

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