A Quality Model for the Evaluation AAL Systems

Abstract

The Ambient Assisted Living (AAL) domain aims to support the daily life activities of elders, patients with chronic conditions or disabled people. The need to support these elderly, in difficulty has prompted researchers to focus on the field of home care. Several platforms have been developed over the last two decades, based on several functionalities to the improvement of their quality. Hence, Quality Criteria (QCs) must be identified and well defined to successfully achieve the system purposes. The goal is to obtain a set of data quality characteristics that would be applicable to the context of AAL systems and evaluate them using data coming from multiple sensors. To do this, we based our work on ISO/IEC 25012 and ISO/IEC 25010 standards that establish QCs respectively on system and software product quality and data quality, to extract the most relevant QCs that could be more fitting for AAL systems. We have applied an approach to extract the most important criteria than can be associated with AAL system based on the acquisition, the transmission, and the treatment processes. To convince all stakeholders including both technologies and end users of AAL systems, high quality must be guaranteed, but measuring quality in AAL system is difficult because of the variety of stakeholders. To evaluate the entire data quality model for AAL system, we will apply an evaluation procedure on this model, which consists first make our model hierarchically, then evaluate it using the metrics based on the sensor data and the concept of fuzzy logic.