Nathan Ramoly

Ilyeum · Ilyeum Insights

Contracts are the cornerstone of legal agreements in the industry. As essential legal documents, contracts are subject to negotiations , demanding extensive analysis and evaluation efforts. Although the emergence of machine learning has enabled assistance tools for text analysis tasks, the specificity and constraints of each business context remain...

Purpose As the elder population grows, the need for domestic healthcare is on the rise. Both robotics and smart environments, including smart homes, provide a promising solution to monitor, interact and keep company to users. However, in real case scenarios, sensors data are not perfect and the environment changes over time, leading to erroneous un...

Personal robots associated with ambient intelligence are an upcoming solution for domestic care. In fact, helped with devices dispatched in the environment, robots could provide a better care to users. However, such robots are encountering challenges of perception, cognition and action.In fact, such an association brings issues of variety, data qua...

Activity recognition focuses on inferring current user activities by leveraging sensory data available. Nowadays, combining data driven with knowledge based methods has show an increasing interest. However, uncertainty of sensor data has not been tackled in previous hybrid models. To address this issue, in this paper we propose a new hybrid model t...

As there is a growing need for domestic healthcare, multiple projects are aiming to bring domestic robots in our homes. These robots aim to help users in their everyday life through various actions. However, they are subjected to task failure, making them less efficient and, possibly, bothering to the users. In this work, we aim to prevent task fai...

Using service robots at home is becoming more and more popular in order to help people in their life routine. Such robots are required to do various tasks, from user notification to devices manipulation. However, in such complex environments, robots sometimes fail to achieve one task. Failing is problematic as it is unpleasant for the user and may...

As the world population is growing older, more and more peoples are facing health issues. For elderly, leaving alone can be tough and risky, typically, a fall can have serious consequences for them. Consequently, smart homes are becoming more and more popular. Such sensors enriched environment can be exploited for health-care applications, in parti...

Acquiring an ongoing human activity from raw sensor data is a challenging problem in pervasive systems. Earlier, research in this field has mainly adopted data-driven or knowledge based techniques for the activity recognition, however these techniques suffer from a number of drawbacks. Therefore, recent works have proposed a combination of these te...

As elderly care is getting more and more important, monitoring of activity of daily living (ADL) has become an active research topic. Both robotic and pervasive computing domains, through smart homes, are creating opportunities to move forward in ADL field. Multiple techniques were proposed to identify activities, each with their features, advantag...

With the emergence of the Internet of Things and smart devices, smart homes are becoming more and more popular. The main goal of this study is to implement an event driven system in a smart home and to extract meaningful information from the raw data collected by the deployed sensors using Complex Event Processing (CEP). These high-level events can...