Title: Managing sensor data streams in a smart home application

Authors: Johan Jansson; Ismo Hakala

Addresses: University of Jyväskylä, Kokkola University Consortium Chydenius, P.O. Box 567, FI-67701, Kokkola, Finland ' University of Jyväskylä, Kokkola University Consortium Chydenius, P.O. Box 567, FI-67701, Kokkola, Finland

Abstract: A challenge in developing an ambient activity recognition system for use in elder care is finding a balance between the sophistication of the system and a cost structure that fits within the budgets of public and private sector healthcare organisations. Much activity recognition research in the context of elder care is based on dense networks of sensors and advanced methods, such as supervised machine learning algorithms. This paper presents the data processing aspects of an activity recognition system based on a simpler, knowledge-based unsupervised approach, designed for a sparse network of sensors. By structuring sensor data management as a streaming system, we provide a simple programming model for the application logic, which facilitates building a fault-tolerant system with the potential for distributed data management within the sensor network. The system, evaluated by a public sector healthcare organisation, constitutes an example of a system that is useful and has a sustainable cost structure.

Keywords: activity recognition; healthcare; home care; PIR; passive infrared sensor; sensor data; sensor data management; sensor data processing; sensor data streams; smart home; WSN; wireless sensor network.

DOI: 10.1504/IJSNET.2020.106603

International Journal of Sensor Networks, 2020 Vol.32 No.4, pp.247 - 258

Received: 13 Feb 2019
Accepted: 09 Nov 2019
Published online: 15 Apr 2020 *

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