A simulation tool for monitoring elderly who suffer from disorientation in a smart home

Abstract

This paper addresses the challenging problem of disorientation of elderly people living at home. In order to detect confusion, we monitor the behaviour of the elderly and identify actions that appear alarming in a sensorized and video-controlled smart environment. In the past, our research has focused on identifying situations, activities and interactions between various actors based on user-understandable models. This work addresses the development of a simulation tool capable of synthesizing sensor data and low-level/medium-level scene events. The tool is of great interest with regard to the design and configuration of an elderly disorientation recognition system because it reduces the laborious and expensive need for experimentation with real devices. We integrate this proposal in a comprehensive framework that distinguishes between a recognition line and a simulation line in a potentially continuous and closed cycle. The recognition line goes from a multisensory monitored scene to its semantic interpretation, which could be completed even with only the narration of the facts. In the opposite direction, the simulation line goes from the narration of a scene to its synthesis with the same semantic content into a 3D simulation and the corresponding sensor signals and low/medium events at specific location points.

Monitoring of the daily living activities in smart home care

“…"Aging in place" for an elderly person is one key element in ambient assisted living (AAL) technologies [1]. For recognition [2][3][4][5][6][7][8][9][10][11][12][13][14][15] and classification of ADL [16,17] are used various mathematical methods such as Hidden Markov Model (HMM), Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM) [18,6], Artificial Neural Networks (ANN) [11] or adaptive-network-based fuzzy inference system (ANFIS) [19,20]. For detection of ADL in SHC it is possible to use RFID [21], PIR [22], CO 2 [23] sensors or presence sensors, on the basis of which probability models of the people's behavior in SH [24] can be built, respecting the privacy [25] of SHC residents [26].…”

ICT Systems in reducing environmental impact – a way towards sustainability?

“…One of the primary applications of these systems was the rationalization of energy consumption, then other potential applications were proposed. According to these proposals the possible applications are: integration with the infrastructure of renewable energy sources (Avancini et al, 2019), remote supervision over sick and disabled persons (Garcia-Rodriguez, Martinez-Tomas, Cuadra-Tronsco, Fernandez -Caballero, 2015) and finally -a general tool for raising the level of life's comfort. The variety of possible applications allows us to assume that some of the tasks to be carried out by the system will be antagonistic (e.g.…”

Software Architecture for Smart Emotion Recognition and Regulation of the Ageing Adult

“…The activity recognition evaluates the user's behaviours as normal or abnormal; and the affect recognition is obtained from the analysis of the physiological data. Some technical details on the ongoing work have been recently presented [15], [28] [29].…”