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Physical activity represents a key element for elderly people to maintain a healthy life. This paper presents a game for supporting and stimulating elderly people in performing physical activity. The game is composed of different type of exercises that are selected based on the user's profile and health status. The results are presented to the user in multiple ways that are correlated with his/her...
Human tracking plays an important role in providing activity assistance and care for users in smart homes. This paper presents a method for detecting and tracking of a user in a smart home using multiple sensors. We consider one PTZ camera and multiple Kinects in order to offer continuity over the users movement. Thus, the user can be keep inside the frame for most of the time. In this way, we minimize...
The increase in life expectancy and the slumping birth rates across the world result in lengthening the average age of the society. Therefore, we are in need of techniques that will assist the elderly in their daily life, while preventing their social isolation. The recent developments in Ambient Intelligence and Information and Communication Technologies have facilitated a technological revolution...
Ambient Assistive Living (AAL) applications allow elderly people to maintain a healthy life style and live longer in their homes. In this paper we describe a platform that combine physical exercises, health monitoring with a reminder component implemented as a multimodal interface adapted to elderly needs for maintaining a healthy lifestyle for elderly people.
Mobile health assistive technologies was developed for remote monitoring of the elders. Developing wearable technologies and methods for solving cognitive impairments is of outmost importance in m-health. In this paper, we develop a mobile solution for health and physical exercises monitoring for the elderly. Conceived for a wide range of users (elders, caregivers, doctors), MR@Old is developed on...
This paper presents a parallel version of a semiautomatic image segmentation algorithm. The method is based on the OneCut algorithm. For parallelization, we used different aspects from Parallel Graph Cuts method. Tests were run on a set of images from various databases. Our results were compared with both OneCut and Boykov-Jolly algorithms. The results in terms of execution time provides an improvement...
With the continuous ageing of the population, the demand for different healthcare services is increasing at a fast pace. At the same time, the number of caregivers is limited and the cost of well-being is increasing. Therefore, there is a recognized need for technologies that assist elderly people in their daily activities and ensure their safety along with their social integration while maintaining...
Multimodal interfaces seamlessly integrate two or more user inputs in a coordinated manner to enhance user interaction with the system. This work proposes a multimodal interface that makes use of hand tracking and speech interactions for Ambient Intelligent and Ambient Assisted Living environments. The system is composed of two main modules: Spoken Language Interaction module and Hand Tracking Interaction...
Research on passion has demonstrated the existence of two roads toward sports performance through the effects of deliberate practice (Vallerand et al., 2007, 2008). The first emanates from harmonious passion (HP) and contributes to both performance and psychological well-being. The second stems from obsessive passion (OP), and performance comes at the cost of well-being. The present research proposes...
This paper describes an application that aims to stimulate physical activity adapted to elderly people. The application is implemented as a game with two avatars: user and trainer. The user avatar must reproduce the movements of the trainer's avatar. The similarity between two movements is computed using Dynamic Time Warping. Also the speed of the trainer is adapted to the user's movements using cross-correlation...
This paper presents a method for touch-based gesture recognition that can be used in human-centered interfaces for ambient intelligence applications. Gestures are associated with shapes and they are represented using Fourier coefficients. Neural Networks, Decision Trees, Naïve Bayes and a set of classifiers (based on Linear Discriminant Analysis) are tested for gesture recognition. All these methods...
This paper proposes a new algorithm for object recognition with high precision and an efficient execution time using the Kinect sensor. The proposed algorithm is based on geometric hashing and provides a more detailed geometric description of objects that can be further used to identify object parts or other information localized on the object's surface. The algorithm was tested on a dataset that...
This paper presents a method for image based human activity recognition, in a smart environment. We use background subtraction and skeletisation as image processing techniques, combined with Artificial Neural Networks for human posture classification and Hidden Markov Models for activity interpretation. By this approach we successfully recognized basic human actions such as walking, rotating, sitting...
This paper presents a formal modeling and proof of a multi-agent system for requesting services, in which agents performs operations concurrently. The concurrent operations made by agents are specified and validated using a formal specification method Event-B.
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