Paulo Armando Cavalcante Aguilar

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The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover, the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multi-sensor data fusion techniques, Bayesian methods and evidence theories such(More)
This paper addresses a localization system which is based on a combination of information from two modalities: a Smart Home Person Tracking (SHPT) composed of infrared sensors and an Audio Person Tracking (APT) which uses microphones able to estimate azimuth of acoustic sources. This combination improves precision of localization compared to a standalone or(More)
This study is part of the development of a remote home healthcare monitoring application designed to detect distress situations through several types of sensors. The multisensor fusion can provide more accurate and reliable information compared to information provided by each sensor separately. Furthermore, data from multiple heterogeneous sensors present(More)
The multi-sensor fusion can provide more accurate and reliable information compared to information from each sensor separately taken. Moreover , the data from multiple heterogeneous sensors present in the medical surveillance systems have different degrees of uncertainty. Among multi-sensor data fusion techniques, Bayesian methods and evidence theories such(More)
This work propose a remote healthcare monitoring system designed to derive elderly's activities of daily living and distress situation in Nursing Home environments through a set of pyroelectric infrared sensor placed in the rooms. We aim to infer from the nursing home environment information as the exits and entries in the room, presence of care-givers and(More)
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