2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) 2011
DOI: 10.1109/fuzzy.2011.6007636
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A pervasive multi-sensor data fusion for smart home healthcare monitoring

Abstract: Abstract-Today elderly people are the fastest growing segment of the developing countries population, and they desire to live as independently as possible. But independent lifestyles come with risks and challenges. Medical in-home telemonitoring (and, more generally, telemedicine) is a solution to deal with these challenges and to ensure that elderly people can live safely and independently in their own homes for as long as possible. In this context we propose an automatic in-home healthcare monitoring system … Show more

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Cited by 76 publications
(36 citation statements)
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“…The approach uses sensors such as actimeter, microphones, passive infrared sensors, and door contacts whose outputs are fused by an SVM classifier. Medjahed et al [4] have proposed a similar approach relying on infrared, change state, audio, and physiological sensors; but the combination of sensor events is performed using a Fuzzy inference approach.…”
Section: Introductionmentioning
confidence: 99%
“…The approach uses sensors such as actimeter, microphones, passive infrared sensors, and door contacts whose outputs are fused by an SVM classifier. Medjahed et al [4] have proposed a similar approach relying on infrared, change state, audio, and physiological sensors; but the combination of sensor events is performed using a Fuzzy inference approach.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, a drawback is that sometimes neural networks are not suitable for working in environments containing a dynamic sensor configuration. This is because each sensor in the ANN requires a singular input node, and also training is required for the configuration of each sensor set [99]. Another drawback is that ANN requires users to define in advance several learning parameter [20].…”
Section: What Analysis Methods Are Used In a Smart House Environment?mentioning
confidence: 99%
“…Medjahed et al [99] used fuzzy logic in a pervasive multi-sensor environment for a Smart House health-care monitoring system. The system consisted of a multimodal platform with several sensors installed throughout the house to collect data.…”
Section: Fuzzy Logic (Fl)mentioning
confidence: 99%
“…There are multiple approaches (e.g., probability theory and fuzzy logic) for a system to cope with uncertainty. The most common way is to employ fuzzy logic (Zadeh 1965;Medjahed et al 2011;Doctor et al 2014). Using fuzzy logic, users can define rules that have premises with linguistic variables.…”
Section: Figmentioning
confidence: 99%