Brain-Computer Interface (BCI) research hopes to improve the quality of life for people with severe motor disabilities by providing a capability to control external devices using their thoughts. To control a device th...
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ISBN:
(纸本)9781509050970
Brain-Computer Interface (BCI) research hopes to improve the quality of life for people with severe motor disabilities by providing a capability to control external devices using their thoughts. To control a device through BCI, neural signals of a user must be translated to meaningful control commands using various machine learning components, e.g. feature extraction, dimensionality reduction and classification, that should also be carefully designed for practical use. However, the noise and variability in the neural data pose one of the greatest challenges that in practice previously functioning BCI fails in the subsequent operation requiring re-tuning/optimization. this paper presents an idea of defining multiple feature spaces and optimal decision boundaries therein to account for noise and variability in data and improve a generalization of a learning machine. the spaces are defined in the Reproducing Kernel Hilbert Spaces induced by a Radial Basis Gaussian function. then the learning is done via Ll-regularized Support Vector Machines. the central idea behind our approach is that a classifier predicts an unseen test examples by learning more rich feature spaces with a suite of optimal hyperparameters. Empirical evaluation have shown an improved generalization performance (range 79-90%) on two class motor imagery Electroencephalography (EEG) data, when compared with other conventional machine learning methods.
Since the advent of thermal imaging, devices with a high optical resolution that use detector arrays to capture the emitted radiance in the thermal infrared range of an entire scene simultaneously have developed as a ...
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ISBN:
(纸本)9781509035502
Since the advent of thermal imaging, devices with a high optical resolution that use detector arrays to capture the emitted radiance in the thermal infrared range of an entire scene simultaneously have developed as a standard in monitoring energy related aspects. they have had a huge impact on the building industry and in manufacturing, where they are commonly used to monitor proecces that require stable temperature conditions. As beneficial as contactless measurements are, the subsequent localization of points of interest in the environment is often difficult. To overcome this problem we propose a portable system that combines thermal imaging with Augmented Reality (AR). the idea of the approach is to project the gathered temperature information back into the scene to facilitate visual inspection.
this paper proposes a latent statistical model for analyzing global positioning system (GPS) trajectory data. Because of the rapid spread of GPS-equipped devices, numerous GPS trajectories have become available, and t...
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Nearly one billion people are suffering from various disabilities around the world. People in developed countries have resources, facilities and technologies to cope up while in developing countries, they suffer more ...
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ISBN:
(纸本)9781509012701
Nearly one billion people are suffering from various disabilities around the world. People in developed countries have resources, facilities and technologies to cope up while in developing countries, they suffer more due to lack of facilities and assistive technologies. Many technologies have been considered as cost effective solution to overcome the limitations in developing countries and Smart Home (SH) is one them. SH is a vision of home automation system that interacts withthe users to provide comfort and ease of access. SH embedded with assistive technologies can provide better living facilities for disabled people. As a result they can control home appliances without movement and interact better withtheir surroundings. It could help improving their confidence and self-esteem thus, enhancing the quality of life. In this study, we have presented SH system for disabled people that can improve their lives, focusing on the key features, major challenges and potentials of SHs.
the paper describes a generic Cloud robotics teleoperation system which allows to control in real-time a robot (connected with a 4G network) having its video stream as feedback. the proposed system relies on the Azure...
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ISBN:
(纸本)9781509050949
the paper describes a generic Cloud robotics teleoperation system which allows to control in real-time a robot (connected with a 4G network) having its video stream as feedback. the proposed system relies on the Azure Cloud Platform and on recent web technologies. Particularly, we present an use case experiment in which an operator in Slovakia controls a robot situated in Italy in order to evaluate its realtime feasibility. We test the system to assess its performances providing the throughput value of the communication and the average delay between consecutive received packets on both robot and teleoperation side. Additionally, regarding the video streaming, we test several packet sizes to establish a suitable image quality. the results show how the chosen technology allows to have real-time performances in terms of video and velocity commands streaming.
As opposed to insects, todays walking robots are typically not constructed to withstand crashes. Whereas insects use a multitude of sensor information and have self-healing abilities in addition, robots usually rely o...
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ISBN:
(纸本)9783319424170;9783319424163
As opposed to insects, todays walking robots are typically not constructed to withstand crashes. Whereas insects use a multitude of sensor information and have self-healing abilities in addition, robots usually rely on few specialized sensors that are essential for operation. If one of the sensors fails due to a crash, the robot is unusable. therefore, most technical systems require static stability at all times to avoid damages and to guarantee utilizability, whereas insects can afford occasional failures. Despite the failure tolerance, insects also possess adhesive, "sticky" pads and claws at their feet that allow them to cling to the substrate, thus reducing the need for static stability. Nevertheless, insects, in particular stick insects, have been studied intensively to understand the underlying mechanisms of their leg coordination in order to adapt it for the control of robots. this work exemplarily evaluates the static stability of a single stick insect during walking and the stability of a technical system that is controlled by stick insect - inspired coordination rules.
this paper is aimed to model the electrical transmission grid of Germany accessing future of electricity generation targeting year 2023. For the need of alternating current, while shutting down nuclear power plants an...
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ISBN:
(纸本)9781509012701
this paper is aimed to model the electrical transmission grid of Germany accessing future of electricity generation targeting year 2023. For the need of alternating current, while shutting down nuclear power plants and reduction of emission of green house gases, renewable energy comes into picture. Withthe data from German Network Regulatory Body (BNA), the high voltage transmission grid of Germany is modeled and an alternating current load flow is performed. From the resultant data, the load flow is compared withthe BNA data. the control of reactive power by setting the per unit voltage at the generators is discussed. this paper exhibits the entire picture of the high voltage transmission grid of Germany in the year 2023.
A two-wheel inverted pendulum (TWIP) system is implemented based on a position and angle decoupled intelligent backstepping control system in this work. the decoupled method provides a simple way to achieve asymptotic...
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ISBN:
(纸本)9781467389860
A two-wheel inverted pendulum (TWIP) system is implemented based on a position and angle decoupled intelligent backstepping control system in this work. the decoupled method provides a simple way to achieve asymptotic stability control for a fourth-order nonlinear TWIP system. Moreover, an adaptive output recurrent cerebellar model articulation control (AORCMAC) is designed in this study to imitate an ideal backstepping control (IBC). Furthermore, to compensate for difference between the above two controllers, a compensator is used. All the adaptive laws of the proposed system are derived based on the Lyapunov stability analysis, so that the stability of the closed-loop system can be guaranteed. Finally, the simulation and experiment results demonstrate the effectiveness of the proposed control method for a TWIP control.
the current research trends of object grasping can be summarized as caging grasping and force closure grasping. the motivation of this paper is to combine the advantage of caging grasping and force closure grasping to...
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ISBN:
(纸本)9781509035502
the current research trends of object grasping can be summarized as caging grasping and force closure grasping. the motivation of this paper is to combine the advantage of caging grasping and force closure grasping to enable under-actuated grippers like the Lacquey gripper and the parallel grippers like the PR2 gripper to quickly grasp the flat unknown objects. Inspired by the idea that caging grasping generates finger points along the object's boundary and considering the geometry property of the grippers, we propose to allocate a discrete set of finger candidates along the object's boundary. Any two of the finger candidates can form a grasp candidate, which is analyzed by using force closure to choose the best grasp candidate as the final grasp execution. the grasp quality during the manipulation of the object is guaranteed by considering the gravity of the object. Simulations and experiments on an Universal arm UR5 and an under-actuated Lacquey Fetch gripper are used to examine the performance of this algorithm, and successful results are obtained.
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