Implementation of signal classification using frequency spectrum features on the raspberry Pi platform

Mitrovic, Andrija; Djukanović, Slobodan; Radonjić, Milutin

doi:10.1109/telfor.2017.8249361

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…Furthermore, systems are being developed to improve the quality and ensure the safety of the older people living independently in their homes. As a result of work on multinational projects, systems and solutions that make a significant contribution in this regard have been created, and are based on the application of modern technology [ 7 , 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Design of a Kitchen-Monitoring and Decision-Making System to Support AAL Applications

Žarić

Radonjić

Pavlićević

et al. 2021

Sensors

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Numerous researchers are working on Ambient Assisted Living systems to enable more comfortable and safer living for senior people in their homes. Due to modern lifestyles and an aging population, this has become a very important issue. According to the available literature, it is obvious that the kitchen is one of the most important and most dangerous rooms in the home. However, there is still evident lack of monitoring systems suitable for specific kitchen activities. In this paper, we propose a monitoring system capable of identifying activities related to the cooking process, and a decision-making system capable of identifying some unwanted and possibly critical conditions. The proposed systems are designed to satisfy the requirements of the modern Ambient Assisted Living systems dedicated to older adults. The proposed monitoring system consists of ultrasound, temperature, and humidity sensors. The acquired results from these sensors are the inputs for the decision-making system, which generate warnings or alarms intended for the senior users and/or formal or informal caregivers. This system is designed to improve home safety related to kitchen activities, as well as to provide information about the lifestyle and daily activities of senior users. Experimental validation of the proposed system confirms its functionality and accurate design approach.

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