Rami Yared

Cooking risk analysis to enhance safety of elderly people in smart kitchen

Risk analysis during cooking activities enables to build a cooking-safe system in order to enhance safety of elderly people in smart kitchen. The Kitchen is the second place where majority of domestic accidents occur, and in particular the oven presents the most principal reason of fire accidents in the residence. The paper presents insightful cooking risk analysis that permits to determine the pertinent parameters to be monitored and measured during cooking in order to prevent risks. We investigated several cooking experiments, and analyzed the composition of heated cooking materials, the concentrations of gases in the cooking smoke, and humidity. The pertinent parameters determined in this paper are: concentrations of gases in the cooking smoke, ambient temperature, utensil temperature, burner temperature, relative humidity, and presence of an object on burner.

Toward Pervasive Computing System to Enhance Safety of Ageing People in Smart Kitchen

Kitchen is the second place where the majority of domestic accidents occur, and in particular oven presents the most principal source of fire accidents in residence. Therefore, enabling kitchen safety is a major factor for ageing people independent living. This paper presents the hardware architecture of our cooking-safe system that targets enhancing safety of ageing people while cooking. The system is based on insightful cooking risk analysis that enables to determine the pertinent parameters to be monitored and measured while cooking. This paper also presents the results of our experimental study that leads us to select the appropriate sensors to constitute the basic building block of our cooking-safe system. The system is composed of sensor nodes to monitor events around oven, then the sensory data is transmitted to a computing unit. The system proactively reacts to hazards in order to prevent cooking associated risks.

Ambient Technology to Assist Elderly People in Indoor Risks

While elderly people perform their daily indoor activities, they are subjected to several risks. To improve the quality of life of elderly people and promote healthy aging and independent living, elderly people need to be provided with an assistive technology platform to rely on during their activities. We reviewed the literature and identified the major indoor risks addressed by assistive technology that elderly people face during their indoor activities. In this paper, we identify these risks as: fall, wrong self-medication management, fire, burns, intoxication by gas/smoke, and the risk of inactivity. In addition, we discuss the existing assistive technology systems and classify the risk detection algorithms, techniques and the basic system principles and interventions to enhance safety of elderly people.

Assistive Technology for Risks Affecting Elderly People in Outdoor Environment

Risk situations may affect elderly people during outdoor Activities of Daily Living. The gravity of this problem becomes more significant with the rapidly growing number of elderly people around the world. Assistive technology is a promising solution to enhance safety of elderly people in outdoor environment. It plays an essential role in providing them with a higher quality of life and autonomy. In this paper, we present the result of our study on major risk factors that affect elderly people during outdoor activities. We also discuss existing assistive technology across recent work related to outdoor risks. In addition, we provide a framework for existing assistive technology that addresses outdoor risks. To the best of our knowledge, this is the first review about major risks that affect elderly people in outdoor environments, and that describes technological solutions in the domain of ambient assistive technology.

Context aware adaptable approach for fall detection bases on smart textile

Fall detection is very important to provide adequate interventions for aging people in risk situations. Existing techniques focus on detecting falls using wearable or ambient sensors. However, they do not consider fall orientations. In this paper, we present our novel fall detection system based on smart textiles and machine learning techniques. Using a non-linear support vector machine, we determine the fall orientation which will be helpful to study the impact of a fall according to its orientation. Additionally, we classify falls based on their orientations among 11 classes (moving upstairs, moving downstairs, walking, running, standing, fall forward, fall backward, fall right, fall left, lying, sitting). Results show the reliability of the proposed approach for falls detection (98% of accuracy, 97.5% of sensitivity and 98.5% specificity) and also for fall orientation (98.5% of accuracy).

Prevent Cooking Risks in Kitchen of Elderly People: Adaptable Reasoning Engine Based on Fuzzy Logic for Smart Oven

Enabling kitchen safety is crucial for elderly people independent living. Cooking, usually, is accompanied with several risks particularly for elderly people, due to aging associated impairments. Therefore, cooking-safe environment is required to enhance safety of elderly people. This is the motivation behind our research work on building a cooking-safe system. In this paper, we present the fuzzy-logic based reasoning engine used for our cooking-safe system. The reasoning engine manages the detection of risk situations and determines their severity levels according to the contextual information around oven. In this study, we have considered three levels of risk severity based on experimentally determined threshold values.

Ambient Technology to Support Elderly People in Outdoor Risk Situations

Elderly people are subjected to several safety issues while performing Activities of Daily Living. On the other hand, Assistive technology is a promising solution to enhance safety of elderly people, and consequently improve their quality of life and independent living. We present in this paper a review of the major risks affecting elderly people in outdoor environment and the related assistive technology.

Toward Context-Aware Smart Oven to Prevent Cooking Risks in Kitchen of Elderly People

Active life style promotes healthy aging. Cooking, particularly, is an important activity of daily living for elderly people. However, cooking is accompanied with several risks for this population category due to the aging related decline. Assistive technology is a promising solution to assist elderly people and enhance their safety. We introduce in this paper a context-aware cooking-safe environment, an innovative assistive technology to enhance safety of elderly people while cooking. We mainly focus in this paper on the hardware architecture of our system. The context is gathered via sensors deployed in kitchen environment. The system is composed of sensor nodes, microcontroller, and a computing unit. We also introduce in this paper a solution for sensors positioning and system integration in a real-world cooking environment. Furthermore, we present the results of sensors testing in real-world configurations.

Adaptable Context-Aware Cooking-Safe System

Kitchen safety is a highly important concern for daily living activities. Cooking, usually, is accompanied with several risks particularly for elderly people, due to aging associated impairments. Therefore, cooking-safe environment is required to enhance safety. In this paper, we present our cooking-safe smart oven system which manages the detection of risk situations and determines their severity levels according to the contextual information around oven. The context is gathered via sensors deployed in the kitchen environment. The cooking-safe system is composed of sensor nodes, actuators, microcontroller, and a computing unit. Cooking related risks are managed by the fuzzy logic based reasoning engine of the cooking-safe system. We also present in details our risk prevention algorithms which constitute the basic concepts of the reasoning engine. We discuss the system evaluation in real-world environment, and the interventions via interactive interfaces with users.

Micro-economy effect on cloud federation

Cloud federation is considered the future of cloud providers, and for its importance, many researchers proposed federation mechanisms and automatic pricing schemes. To the best of our knowledge, all the proposed federation mechanisms fall in the same fatal hazard by selecting very far cloud providers to establish federation with and this severely decrements their customer satisfaction. In this paper, we raise the awareness on the hazards of price-based cloud selection mechanisms and propose views on how to solve the discussed hazards.