The average age of the population is growing enormously and ensuring the elderly well-being becomes challenging due to several aspects: fragile people prefer staying in their residences even if their health is not at its best, they remain in a constant state of anxiety, but they still choose to execute their Activities of Daily Living (ADLs) on their own. In order to provide security, aid and wellness to older people, it is necessary to build a system able to monitor their behaviour; such a structure, denominated AAL system, can reassure family members, as it is capable of recognizing a state of illness in real time. The BRIDGe project arises as a powerful AAL system including different sensors that continuously monitor the inhabitant’s behaviour and produce broad quantity of textual data. In such a context, this thesis work provides a solution to convey perceptible and simplified information in a visual form: the BRIDGeViz web application, aiming the monitoring of elderly activities in AAL systems. Data Visualization is the discipline that manages the representation of data in a visual form. The web application enriches BRIDGe by visualizing data through appropriate representations able to stimulate the human visual perception, in order to gain knowledge from the represented data. In particular, the implemented plots carry information related to the energy consumption, at different granularities, supervision of the domestic appliances consumptions, time spent in each room of the smart home, both in short and long-term periods, and monitoring of the sensors states.
L’età media della popolazione sta crescendo enormemente e diventa difficile assicurare il benessere degli anziani a causa di diversi aspetti: le persone fragili preferiscono restare nelle loro abitazioni nonostante la loro salute non sia ottimale, rimangono in uno stato di ansia costante, ma scelgono di eseguire le attività quotidiane per conto proprio. Al fine di fornire sicurezza, assistenza e benessere alle persone anziane, è necessario costruire un sistema in grado di monitorare il loro comportamento; tale struttura, denominata sistema AAL, può rassicurare i membri della famiglia, in quanto è in grado di riconoscere uno stato di malattia in tempo reale. Il progetto BRIDGe si presenta come un potente sistema AAL che include diversi sensori atti a monitorare l’andamento dell’abitante, producendo una grande quantità di dati testuali. In un tale contesto, questo elaborato fornisce una soluzione per trasmettere informazioni percettibili e semplificate in forma visiva: l’applicazione web BRIDGeViz, che mira al controllo delle attività degli anziani all’interno di sistemi AAL. La visualizzazione di dati è la disciplina che gestisce la rappresentazione dei dati in forma visiva. L’applicazione web arricchisce BRIDGe visualizzando i dati attraverso rappresentazioni appropriate in grado di stimolare la percezione visiva umana, al fine di acquisire conoscenza dai dati rappresentati. In particolare, i grafici implementati riportano informazioni relative al consumo di energia, in diverse granularità, alla supervisione dei consumi degli elettrodomestici, al tempo trascorso in ogni stanza della smart home, sia nei periodi a breve che a lungo termine, e al monitoraggio degli stati dei sensori.
BRIDGeViz : a data visualization Web application for monitoring elderly behaviour in AAL systems
GOPAUL, CHANDNEE
2016/2017
Abstract
The average age of the population is growing enormously and ensuring the elderly well-being becomes challenging due to several aspects: fragile people prefer staying in their residences even if their health is not at its best, they remain in a constant state of anxiety, but they still choose to execute their Activities of Daily Living (ADLs) on their own. In order to provide security, aid and wellness to older people, it is necessary to build a system able to monitor their behaviour; such a structure, denominated AAL system, can reassure family members, as it is capable of recognizing a state of illness in real time. The BRIDGe project arises as a powerful AAL system including different sensors that continuously monitor the inhabitant’s behaviour and produce broad quantity of textual data. In such a context, this thesis work provides a solution to convey perceptible and simplified information in a visual form: the BRIDGeViz web application, aiming the monitoring of elderly activities in AAL systems. Data Visualization is the discipline that manages the representation of data in a visual form. The web application enriches BRIDGe by visualizing data through appropriate representations able to stimulate the human visual perception, in order to gain knowledge from the represented data. In particular, the implemented plots carry information related to the energy consumption, at different granularities, supervision of the domestic appliances consumptions, time spent in each room of the smart home, both in short and long-term periods, and monitoring of the sensors states.File | Dimensione | Formato | |
---|---|---|---|
2017_12_Gopaul.pdf
accessibile in internet per tutti
Descrizione: Testo della tesi
Dimensione
2.73 MB
Formato
Adobe PDF
|
2.73 MB | Adobe PDF | Visualizza/Apri |
I documenti in POLITesi sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/10589/138426