Entity

Time filter

Source Type

Apeldoorn, Netherlands

Bijwaard D.J.A.,Inertia Technology | Eertink H.,Henk Eertink Novay | Havinga P.J.M.,University of Twente
Studies in Computational Intelligence | Year: 2013

Future applications are envisioned to be adaptive to various changes in network, environment and situation. These so-called pervasive applications will be composed from both locally and globally available multimedia resources such as audio and video, web services and context sources. The rapidly increasing pervasiveness in todays networks, i.e. the number of mobile devices, the amount of data they generate and share (near) realtime increases rapidly. In fact this forms the basis for research efforts on the Internet of Things. The increased pervasiveness leads to numerous efficiency and scalability challenges. This chapter will detail the state of the art and binding concepts for efficient realtime sharing and mobility of multimedia and context. Additionally, it lists the associated challenges and their progress in a number of research projects. © Springer-Verlag Berlin Heidelberg 2013. Source


Marin-Perianu R.,University of Twente | Marin-Perianu M.,Inertia Technology | Havinga P.,University of Twente | Taylor S.,Victoria University of Melbourne | And 3 more authors.
Personal and Ubiquitous Computing | Year: 2013

It is essential for any highly trained cyclist to optimize his pedalling movement in order to maximize the performance and minimize the risk of injuries. Current techniques rely on bicycle fitting and off-line laboratory measurements. These techniques do not allow the assessment of the kinematics of the cyclist during training and competition, when fatigue may alter the ability of the cyclist to apply forces to the pedals and thus induce maladaptive joint loading. We propose a radically different approach that focuses on determining the actual status of the cyclist's lower limb segments in real-time and real-life conditions. Our solution is based on body area wireless motion sensor nodes that can collaboratively process the sensory information and provide the cyclists with immediate feedback about their pedalling movement. In this paper, we present a thorough study of the accuracy of our system with respect to the gold standard motion capture system. We measure the knee and ankle angles, which influence the performance as well as the risk of overuse injuries during cycling. The results obtained from a series of experiments with nine subjects show that the motion sensors are within 2.2 to 6.4 from the reference given by the motion capture system, with a correlation coefficient above 0.9. The wireless characteristics of our system, the energy expenditure, possible improvements and usability aspects are further analysed and discussed. © 2011 The Author(s). Source


Marin-Perianu R.,University of Twente | Marin-Perianu M.,Inertia Technology | Rouffet D.,Victoria University | Taylor S.,Victoria University | And 3 more authors.
Proceedings of the 5th International ICST Conference on Body Area Networks, BodyNets 2010 | Year: 2011

In high-performance cycling, there is a need for advanced technological means of assessing the cyclists' performance during training and competition, and the risk of overuse injuries. Existing techniques rely on off-line, laboratory-based analysis, as well as on outfitting the bike with various sensors and transducers that give an estimate of the performance during training and racing. We propose a radically different approach, with the aim of determining the actual status of the cyclist's body in real-time and real-life conditions. Our solution is based on body area wireless motion sensor nodes that can collaboratively process the sensory information and give immediate feedback to the cyclists. We study experimentally the accuracy of such a system with respect to the gold standard camera system. The biomechanics measures of interest are the knee and ankle angles of the cyclists, which give an indication of the correctness and efficiency of the cycling technique. The results obtained from a series of experiments with nine subjects show the accuracy of the motion sensor system compared with the reference given by the camera system. Furthermore, we analyse the wireless characteristics of our system, the energy expenditure and possible improvements. © 2010 ACM. Source


Bijwaard D.J.A.,Inertia Technology | Havinga P.J.M.,Ambient Systems | Havinga P.J.M.,University of Twente | Eertink H.,Novay
International Journal of Distributed Sensor Networks | Year: 2012

Movement of wireless sensor and actuator networks, and of nodes between WSANs are becoming more commonplace. However, enabling remote usage of sensory data in multiple applications, remote configuration, and actuation is still a big challenge. The purpose of this paper is to analyse and describe which mobility support can best be used in different scenarios, and how shared usage of mobile WSANs by multiple IP applications can best be scaled up. This paper describes logistic and person monitoring scenarios, where different types of movements take place. These mobility types and their implications are categorized and analysed. Different degrees of support for these mobility types are analysed in the context of the mobility scenarios. Additionally, different schemes are analysed for shared use of mobile WSANs by multiple applications. In conclusion, guidelines are provided for dealing with mobile and overlapping WSANs and the most promising scheme for shared use of mobile WSANs by IP applications. © 2012 Dennis J. A. Bijwaard et al. Source


Meratnia N.,University of Twente | van der Zwaag B.J.,University of Twente | van Dijk H.W.,University of Twente | Bijwaard D.J.A.,Inertia Technology | Havinga P.J.M.,University of Twente
Sensors | Year: 2010

This paper provides an overview of scientific and industrial developments of the last decade in the area of sensor networks in The Netherlands (Low Lands). The goal is to highlight areas in which the Netherlands has made most contributions and is currently a dominant player in the field of sensor networks. On the one hand, motivations, addressed topics, and initiatives taken in this period are presented, while on the other hand, special emphasis is given to identifying current and future trends and formulating a vision for the coming five to ten years. The presented overview and trend analysis clearly show that Dutch research and industrial efforts, in line with recent worldwide developments in the field of sensor technology, present a clear shift from sensor node platforms, operating systems, communication, networking, and data management aspects of the sensor networks to reasoning/cognition, control, and actuation. © 2010 by the authors. Source

Discover hidden collaborations