scholarly journals In-home monitoring system based on WiFi fingerprints for ambient assisted living

2017 ◽  
Vol 9 (5) ◽  
pp. 543-560 ◽  
Author(s):  
Joaquín Torres-Sospedra ◽  
Óscar Belmonte-Fernández ◽  
Raúl Montoliu ◽  
Sergio Trilles ◽  
Andrea Calia
Keyword(s):  
Monitoring System ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Home Monitoring

scholarly journals ATTICUS: Ambient-Intelligent Tele-monitoring and Telemetry for Incepting and Catering Over hUman Sustainability

2021 ◽  
Vol 3 ◽  
Author(s):  
Gennaro Laudato ◽  
Simone Scalabrino ◽  
Angela Rita Colavita ◽  
Quintiliano Chiacchiari ◽  
Romolo D'Orazio ◽  
...  
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Home Monitoring ◽  
Distributed Software ◽  
Remote Monitoring System ◽  
Essential Components ◽  
Ambient Intelligent ◽  
Behavioral Parameters ◽  
Electrocardiogram Ecg ◽  
Tele Monitoring

Wearable devices as medical technologies are becoming an integral part of our lives. Many research studies are dedicated to these devices and are mainly focused on providing personal analytics, measuring physical status, and acquiring physiological signals and parameters. These continuously evolving technologies play an important role in telemedicine. Telemedicine can be broadly defined as the use of advanced telecommunications technologies to support many medical activities, such as the diagnosis, the analysis of patient data, the improvement of disease management and the treatment in remote areas. In this article, we present ATTICUS (Ambient-intelligent Tele-monitoring and Telemetry for Incepting and Catering over hUman Sustainability), an innovative remote monitoring system for ambient-assisted living based on the analysis of vital and behavioral parameters. The ATTICUS system consists of two essential components: a smart wearable—in the form of a short singlet—made of innovative textile which allows the acquisition of real-time body signals, e.g., electrocardiogram (ECG), breathing wave, temperature, and a multi-level Decision Support System (DSS), a distributed software which integrates advanced machine learning methods to automatically detect anomalies. ATTICUS is capable of operating in different application scenarios. Especially, the system will support in-home and out-home monitoring, personal check-ups, and specialized check-ups. Thus, the system will positively impact the canonical medical practices allowing simultaneous and continuous monitoring of a large number of people.

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

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4449
Author(s):  
Nikola Žarić ◽  
Milutin Radonjić ◽  
Nikola Pavlićević ◽  
Sanja Paunović Žarić
Keyword(s):  
Decision Making ◽  
Monitoring System ◽  
Assisted Living ◽  
Experimental Validation ◽  
Ambient Assisted Living ◽  
Living Systems ◽  
Critical Conditions ◽  
Accurate Design ◽  
Cooking Process ◽  
Decision Making System

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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