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Sensors 2014, 14(6), 9692-9719;

Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents

NETLAB, Computer Networks Research Laboratory, Department of Computer Engineering, Bogazici University, Bebek, Istanbul 34342, Turkey
PeraLab, Pervasive Computing Laboratory, Department of Computer Engineering, Galatasaray University, Ortakoy, Istanbul 34349, Turkey
Author to whom correspondence should be addressed.
Received: 21 March 2014 / Revised: 9 May 2014 / Accepted: 24 May 2014 / Published: 30 May 2014
PDF [5290 KB, uploaded 21 June 2014]


Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integrated in the home environment. Additionally, given the variety of sensor types and activities, selecting the most suitable set of sensors in the deployment is an important task. In order to investigate and propose solutions to such challenges, we introduce a WSN-based multimodal AAL system compatible for homes with multiple residents. Particularly, we focus on the details of the system architecture, including the challenges of sensor selection, deployment, networking and data collection and provide guidelines for the design and deployment of an effective AAL system. We also present the details of the field study we conducted, using the systems deployed in two different real home environments with multiple residents. With these systems, we are able to collect ambient sensor data from multiple homes. This data can be used to assess the wellbeing of the residents and identify deviations from everyday routines, which may be indicators of health problems. Finally, in order to elaborate on the possible applications of the proposed AAL system and to exemplify directions for processing the collected data, we provide the results of several human activity inference experiments, along with examples on how such results could be interpreted. We believe that the experiences shared in this work will contribute towards accelerating the acceptance of WSN-based AAL systems in the home setting. View Full-Text
Keywords: ambient assisted living; wireless sensor networks; human activity recognition ambient assisted living; wireless sensor networks; human activity recognition

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Tunca, C.; Alemdar, H.; Ertan, H.; Incel, O.D.; Ersoy, C. Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents. Sensors 2014, 14, 9692-9719.

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