Kinect style depth cameras provide RGB images along with pre-pixel depth information, the richness of their data and recent development of low-cost sensors have made them more popular in mobile robotics research. In t...
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ISBN:
(纸本)9783319168418;9783319168401
Kinect style depth cameras provide RGB images along with pre-pixel depth information, the richness of their data and recent development of low-cost sensors have made them more popular in mobile robotics research. In this paper, we present a framework of dense 3D mapping. Sparse visual features are used to determine an initial rough transformation, then it is refined by color-GICP (General iterative closest point). We employ a window sparse bundle adjustment to optimize the local map after it is constructed and a new keyframe is created at the same time. Visual features and dense information are also used in loop closure detection, following by a globally consistent optimization based on graph. Moreover, we introduce a user interaction to improve the map building progress. This proposed approach is evaluated by the RGB-D benchmark and two real indoor environments, and experiment results show the feasibility and effectiveness of this approach.
Various professions have an increased rate of carpal tunnel syndrome (CTS) given the reliance on regular and repetitive movements of the hand and wrist. With the widespread use of computing devices, the popularity of ...
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ISBN:
(纸本)9781509034307
Various professions have an increased rate of carpal tunnel syndrome (CTS) given the reliance on regular and repetitive movements of the hand and wrist. With the widespread use of computing devices, the popularity of video games, and the ubiquitous nature of mobile devices, the occurrence of CTS is increasing amongst the general public. Given the rise in CTS along with the corresponding implications including reduced workplace productivity and the reduction in the quality of life, there is significant interest in devising effective interventions to prevent CTS. Non-intrusive approaches include various hand stretching-based exercises that have shown to be effective. However, as with any exercise program, motivation to continue the program quickly decreases. Here we describe a hand motion tracking approach coupled with an engaging game-based 3D user interface (3DUI) to promote hand stretching exercises. The hand stretching exercises are tracked and feedback is provided to the user regarding the motions thus, ultimately helping the users to perform the exercise correctly. Preliminary results indicate that the system can be used to promote hand exercises in a fun, and engaging manner.
Few companies in developing countries are now claiming to provide Smart Nano Grid applications which can help the smart home residents get a reliable, cost effective and uninterrupted power supply. As the technology o...
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ISBN:
(纸本)9781467386753
Few companies in developing countries are now claiming to provide Smart Nano Grid applications which can help the smart home residents get a reliable, cost effective and uninterrupted power supply. As the technology of Smart Nano Grid is an emerging technology comprising the features of Smart Grids and Nano Grids, no significant work has been done for providing guidance on acceptance testing procedures. As a result, these companies feel it complicated to test these applications from the user's perspective. Furthermore, the majority of the consumers doesn't have any criteria to determine whether or not accept the system. This paper presents a complete Acceptance Test Procedure to assist the companies developing Smart Nano Grid applications to test these applications according to end user perspective.
The MirosSot and the AndroSot soccer robots have the ability to recognize, and navigate within, their environments without human intervention. An overhead global camera, usually at a fixed position, is used for the ro...
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ISBN:
(纸本)9783319168418;9783319168401
The MirosSot and the AndroSot soccer robots have the ability to recognize, and navigate within, their environments without human intervention. An overhead global camera, usually at a fixed position, is used for the robot's vision. Because of the lens distortion, images obtained from the camera do not accurately represent the robot's environment. The distortions affect the coordinates. A technique to calibrate the camera is required to transform the skewed coordinates of the objects in the image to the physical coordinates, which define their real-world position. In this study, a method is proposed for camera calibration using an artificial neural network (ANN) in a two-step process. First, ANN was used to select the camera height and the lens focal lengths for high accuracy. Second, ANN was used to map a coordinate transformation from the camera coordinates to the physical coordinates. During the learning process, the weight of each node in the ANN model changed until the best architecture is reached. The experiments thus resulted in an optimum ANN architecture of 2x4x25x2. The accuracy and efficiency of the camera calibration method were obtained by relearning using the ANN whenever changes to the environmental occurred. Relearning was done using the new input data set for each respective environmental change. Based on our experiments, the average transformation error of the calibration method, using many types of camera, camera positions, camera heights, lens sizes, and focal lengths, was 0.18283 cm.
The proceedings contain 126 papers. The topics discussed include: brain-computer interfacing for bio-perceptive and rehabilitative applications;registration of multi-focus images by combining global and local transfor...
ISBN:
(纸本)9781479944460
The proceedings contain 126 papers. The topics discussed include: brain-computer interfacing for bio-perceptive and rehabilitative applications;registration of multi-focus images by combining global and local transformation models;frequency selective surfaces: development and prospect;spectrum sharing networks with imperfect channel state information;language-based security analysis of database applications;a two-stage style detection approach for printed roman script words;neural network based gene regulatory network reconstruction;page-level script identification from multi-script handwritten documents;efficient approach to detect logical equivalence in the paradigm of software plagiarism;an integrated approach to deploy data warehouse in business intelligence environment;and developing software product and test automation software using agile methodology.
Along with the rapid development of science and technology as well as popularization of computer network technology, people have higher demands for computer information applications and processing, thus optimization o...
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Along with the rapid development of science and technology as well as popularization of computer network technology, people have higher demands for computer information applications and processing, thus optimization of distributed computer has become a focus paid attention by more and more people. Network sharing is an important symbol of contemporary network, and how to realize network information transmission and management have become important study objects in computer industries. The development focus of computer science and technology should be also on related studies of artificial intelligent algorithm, and the core element of computer is artificial intelligence, thus artificial intelligent algorithm is of great significance to the optimization of distributed computer network. Therefore, this paper makes an analysis of optimization design of distributed computer network based on artificial intelligent algorithm, and there are five parts of this paper. The first part of this paper gives a general introduction of the whole paper. The second part of this paper is an overview of artificial intelligent algorithm including its definition, advantages and development. The third part of this paper is makes an analysis of distributed computer network including its characteristics, performance indexes as well as advantages and disadvantages. The fourth part of this paper proposes some optimization strategies of design of distributed computer network based on artificial intelligent algorithm, and a general conclusion in given in the last part of this paper.
RoboCup is an important challenge problem in robotics. The goal of RoboCup is to build a team of humanoid robots that can beat the human world champion in 2050. More importantly, RoboCup acts as an important benchmark...
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ISBN:
(纸本)9783319168418;9783319168401
RoboCup is an important challenge problem in robotics. The goal of RoboCup is to build a team of humanoid robots that can beat the human world champion in 2050. More importantly, RoboCup acts as an important benchmark in developing useful and practical humanoid robots for society. An ongoing concern for RoboCup is the fact that as robots are getting ever more complex and the costs of developing a team of humanoid robots is increasing rapidly. As a result it becomes difficult for teams to participate in the RoboCup competitions. Few teams will be able to build eleven adult-sized humanoid robots to compete in 2050. This paper describes a practical and tested way for developing a team of humanoid robots with full collaboration amongst the team members. This helps in reducing the costs of developing a team. The AUT-UofM team found out that developing a joint team is easier than trying to build one individually. The collaboration between Amirkabir University of technology, Iran and the University of Manitoba, Canada started in 2014. The joint team project overcame great challenges in fostering collaboration between teams separated by geography, culture, and politics. We achieved the creation of a novel Teen-Size humanoid robot design, generated a new analytical walking engine good balance and push recovery and improved previous monocular vision-based localization. This research is based on experiences of both universities provided from long time participation in RoboCup humanoid league in recent years.
In this research paper, motivated by the concept of complex hypercube, a novel class of complex Hadamard matrices are proposed. Based on such class of matrices, a novel transform, called complex Hadamard transform is ...
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This paper offers a brief overview of the tutorial presentation to be offered at the internationalconference on Computer, Communication, Control and Information technology (C3IT39;2015) by the first author. It cove...
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ISBN:
(纸本)9781479944453
This paper offers a brief overview of the tutorial presentation to be offered at the internationalconference on Computer, Communication, Control and Information technology (C3IT'2015) by the first author. It covers foundations to applications of the Brain-Computer Interfacing research undertaken by a research group at Artificial intelligence and Brain Imaging Laboratory of Jadavpur University, located in the department of Electronics and Tele-Communication Engineering. The coverage includes four important realizations using EEG Brain-Computer interfacing. The first realization includes EEG-driven position control of robotic links to move the end-affecter at the desired goal position by mental thoughts of the subject only. The second realization includes perceptual-ability measurement of subjects from their EEG response to smell stimuli. The third realization attempts to identify the cognitive failures in driving. The possible failures recognized from EEG signals of the driver includes failure due to lapse of visual attention, cognitive planning and motor execution to accelerate, brake or control the angular motion of the steering wheel. The last part of tutorial aims at detecting neuronal connectivity among the brain lobes during arousal of emotion of subjects.
Microrobots have potential functions in bio-applications such as cell transportation, drug delivery, etc. The microrobots can swim in fluid with low-Reynolds numbers by magnetic manipulation. It is important to delive...
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ISBN:
(纸本)9781467379717
Microrobots have potential functions in bio-applications such as cell transportation, drug delivery, etc. The microrobots can swim in fluid with low-Reynolds numbers by magnetic manipulation. It is important to deliver the cells and drugs without loss during transportation. In this study, the microrobots were fabricated using 3D laser lithography and metal layers were deposited by sputtering system. We demonstrated loading, encapsulation, and unloading of micro-bead with the fabricated microrobot with rotating magnetic field. This result shows the potential for drug delivery and cell transportation without coating or fixing the drug and cells on the microrobot surface.
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