Towards Ambient Intelligence For The Domestic Care Of The Elderly

Bahadori, S.; Cesta, Amedeo; Iocchi, Luca; Leone, Giuseppe Riccardo; Nardi, Daniele; Pecora, Federico; Rasconi, Riccardo; Scozzafava, L.

doi:10.1007/0-387-22991-4_2

Cited by 37 publications

(46 citation statements)

References 11 publications

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“…In this case, there is no analysis of conflictual constraints, as priority values are assigned by the user to the different constraints. In [5,4] the authors use the ISES/ESA algorithm [11] for the scheduling and planning in the architecture of RoboCare. This scheduling technique is also optimized by the use of monitoring of the user's behaviour.…”

Section: Related Workmentioning

confidence: 99%

Non-monotonic reasoning rules for energy efficiency

Tomazzoli

Cristani

Karafili

et al. 2017

AIS

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Abstract. Conflicting rules and rules with exceptions are very common in natural language specification employed to describe the behaviour of devices operating in a real-world context. This is common exactly because those specifications are processed by humans, and humans apply common sense and strategic reasoning about those rules to resolve the conflicts. In this paper, we deal with the challenge of providing, step by step, a model of energy saving rule specification and processing methods that are used to reduce the consumptions of a system of devices, by preventing energy waste. We argue that a very promising non-monotonic approach to such a problem can lie upon Defeasible Logic, following therefore an approach that has shown success in the current literature about usage of this logic for conflict rule resolution and for human-computer interaction in complex systems. Starting with rules specified at an abstract level, but compatibly with the natural aspects of such a specification (including temporal and power absorption constraints), we provide a formalism that generates the extension of a basic Defeasible Logic, which corresponds to turned on or off devices.

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Section: Related Workmentioning

confidence: 99%

Non-monotonic reasoning rules for energy efficiency

Tomazzoli

Cristani

Karafili

et al. 2017

AIS

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“…The system presented in this paper is in use within the RoboCare project [1,16], whose goal is to build a multi-agent system that generates user services for human assistance and develop support technology which can play a role in allowing elderly people to lead an independent lifestyle in their own homes. The RoboCare Domestic Environment (RDE), located at the Institute for Cognitive Science and Technology (CNR, Rome, Italy), is intended to be a testbed environment in which to test the ability of the domotic technology built within the project.…”

Section: Applications and Experimentsmentioning

confidence: 99%

Real-time tracking of multiple people through stereo vision

Bahadori

Grisetti²,

Iocchi³

et al. 2005

IEE Seminar on Intelligent Building Environments

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People tracking is an important functionality for many applications that require to analyze the interaction between people and the environment. These applications range from security and environmental surveillance, to ambient intelligence applications.In this paper we describe a real-time People Localization and Tracking (PLT) System, based on a calibrated fixed stereo vision sensor. The system is able to locate and track multiple people in the environment, by using three different representations of the information coming from a stereo vision sensor: the left intensity image, the disparity image, and the 3-D world locations of measured points, as well as people modeling techniques in order to re-acquire people that are temporary occluded during tracking.Experimental results show that the system is able to track multiple people moving in an area approximately 3 x 8 meters in front of the sensor with high reliability and good precision.

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“…The previous years have witnessed an increase of applying AmI technologies to enhance users' comfort [60] and to help the elderly and people with disabilities especially those having vision impairment (according to World Health Organization statistics 1 , the estimated number of visually impaired people worldwide is 285 million). Such AmI applications included alerting carers for emergency cases such as falling down [70], using robots to assist the elderly in daily tasks [71] or suggesting safe navigation techniques for the blind via GPS, RFID, etc. [72] [73].…”

Section: Introductionmentioning

confidence: 99%

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

Bilgin

Hagras

Helvert

et al. 2016

IEEE Trans. Fuzzy Syst.

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Abstract-This paper addresses the need to enhance transparency in Ambient Intelligent Environments by developing more natural ways of interaction, which allow the users to communicate easily with the hidden networked devices rather than embedding obtrusive tablets and computing equipment throughout their surroundings. Ambient Intelligence vision aims to realize digital environments that adapt to users in a responsive, transparent and context aware manner in order to enhance users' comfort. It is therefore appropriate for employing the paradigm of 'Computing With Words' (CWWs), which aims to mimic the ability of humans to communicate transparently and manipulate perceptions via words. One of the daily activities that would increase the comfort levels of the users (especially people with disabilities) is cooking and performing tasks in the kitchen. Existing approaches on food preparation, cooking, and recipe recommendation stress on healthy eating and balanced meal choices while providing limited personalization features through the use of intrusive user interfaces. Herein, we present an application, which transparently interacts with users based on a novel CWWs approach in order to predict the recipe's difficulty level and to recommend an appropriate recipe depending on the user's mood, appetite and spare time. The proposed CWWs framework is based on Linear General Type-2 (LGT2) Fuzzy Sets, which linearly quantify the linguistic modifiers in the third dimension in order to better represent the user perceptions while avoiding the drawbacks of type-1 and interval type-2 fuzzy sets. The LGT2 based CWWs framework can learn from user experiences and adapt to them in order to establish more natural human-machine interaction. improvement when general type-2 fuzzy sets are used than when interval type-2 fuzzy sets are used instead. The quantitative and qualitative analysis both show the success of the system in providing a natural interaction with the users for recommending food recipes where the quantitative analysis shows the high statistical correlation between the system output and the users' feedback; and the qualitative analysis presents social science evaluation confirming the strong user acceptance of the system. Index Terms-ambient intelligence, computing with words, general type-2 fuzzy sets I. INTRODUCTIONhe recent years have witnessed a rapid increase in the miniaturization of computers which enabled to embed computing throughout our spaces in familiar objects such as home appliances (e.g. washing machines, refrigerators, etc.), portable devices (e.g. mobile phones, tablets, etc.), cars, etc. In addition, the advances in communications allowed such devices to be networked and connected to the Internet. Among the highlights of the connected and miniaturized devices bring to real life is the opportunity of customization and therefore personalization. Lately, it is getting more important to deliver personalized content in areas such as food planning which is becoming an important personal issue that affects the ...

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Towards Ambient Intelligence For The Domestic Care Of The Elderly

Cited by 37 publications

References 11 publications

Non-monotonic reasoning rules for energy efficiency

Non-monotonic reasoning rules for energy efficiency

Real-time tracking of multiple people through stereo vision

A Linear General Type-2 Fuzzy-Logic-Based Computing With Words Approach for Realizing an Ambient Intelligent Platform for Cooking Recipe Recommendation

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