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Drowsiness is one of the main causes of severe traffic accidents occurring in our daily life. In order to reduce the number of drowsiness-induced accidents, various researches have been conducted with the aim of finding practical and non-invasive drowsiness detection systems by using behavioral measuring techniques. Many of the previous works on behavioral measuring techniques have mainly focused...
In this paper, autonomous mobile sensor networks are deployed to measure a scalar field and build its map. We develop a novel method for multiple mobile sensor nodes to build this map using noisy sensor measurements. Our method consists of two parts. First, we develop a distributed sensor fusion algorithm by integrating two different distributed consensus filters to achieve cooperative sensing among...
The increasing software content in current and future embedded systems has forced academia and industry to devise new programming methodologies. Only with new methods, software productivity will keep the pace with user's demands in the very competitive embedded market. Software synthesis, a traditionally formal approach of code generation from abstract models, is an attractive concept to solve the...
In this work, we address the problem of learning arm gestures from imitation by humanoid robots when the training set contains missing data. We assume that multiple gesture demonstrations are available. The problem is challenging because of the fact that there is no temporal alignment between the demonstrations. In this work, we propose two approaches to handle the missing data problem. One approach...
This paper presents a platform to implement and evaluate a learning by imitation framework which enables humanoid robots to learn hand gestures from human beings. A marker based system is used to capture human motion data. From this data we extract the shoulder and elbow joint angles, which uniquely characterize a particular hand gesture. The proposed imitation learning framework aims to generalize...
Tracking and observing multiple dynamic targets is an important task in mobile sensor networks. This paper presents a novel approach to the problem of sensor splitting/ merging for a mobile sensor network to track and observe multiple targets in a dynamic fashion. In this approach, a seed growing graph partition (SGGP) algorithm is proposed to solve the splitting/merging problem. Furthermore, during...
This paper proposes a localization algorithm that can be used to track and locate multiple mobile subjects in a wireless ad hoc network. An algorithm called adaptive dynamic localization is proposed. It is based on a dynamic multidimensional scaling (DMDS) method which reduces the localization error by adding virtual nodes till the network turns adequately dense and connected. The shortcomings which...
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