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2012 International Conference of Robotics and Artificial Intelligence最新文献

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The development of isolated words corpus of Pashto for the automatic speech recognition research 用于语音自动识别研究的普什图语孤立词语料库的开发
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413380
I. Ahmed, N. Ahmad, H. Ali, G. Ahmad
The availability of standard speech database is of paramount importance in the automatic speech recognition (ASR) research in the context of providing a baseline for comparing the performance of automatic speech recognition approaches. This paper presents the development of a Medium-Vocabulary Speech Corpus for Pashto language. The vocabulary encompasses 161 isolated words of Pashto language, consisting of most frequently used words of Pashto language, names of the days of the week and digits from 0 to 25. The words were uttered by 30 speakers of different ages and genders, including both native and non-native speakers of Pashto language. Recording of the corpus was performed in a noise free office environment. The Corpus developed is then used for the development of an automatic speech recognition system for Pashto language.
标准语音数据库的可用性在自动语音识别研究中至关重要,它为比较各种自动语音识别方法的性能提供了一个基准。本文介绍了一个中等词汇量的普什图语语音语料库的开发。该词汇包含161个普什图语孤立词汇,包括普什图语中最常用的词汇、星期的名称以及0到25的数字。这些话是由30名不同年龄和性别的人说的,其中包括普什图语的母语和非母语人士。语料库的记录是在无噪音的办公环境中进行的。开发的语料库随后用于开发普什图语的自动语音识别系统。
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引用次数: 5
Optimized circuit for EMG signal processing 肌电信号处理的优化电路
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413390
A. Salman, J. Iqbal, U. Izhar, U. S. Khan, N. Rashid
An optimized circuit for processing of EMG signals has been designed and presented in this paper. This circuit acquires EMG signals from surface of the skin using bipolar electrodes and enables the amputee to control the prosthetic hand in an efficient manner. EMG can be defined as the electrical potential produced due to the contraction of muscle. It can be picked from the residual portion of muscles of an amputee. EMG signal requires the processes of amplification, band limiting and rectification, before it can be fed to an analog to digital converter (ADC) and subsequently to motors driving the prosthetic device.
本文设计并提出了一种优化的肌电信号处理电路。该电路使用双极电极从皮肤表面获取肌电图信号,使截肢者能够有效地控制假手。肌电图可以定义为由于肌肉收缩而产生的电位。它可以从截肢者的残余肌肉中提取。肌电图信号需要经过放大、限带和整流处理,然后才能被送入模数转换器(ADC),随后被送入驱动假肢装置的电机。
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引用次数: 29
Video-based face classification approach: A survey 基于视频的人脸分类方法研究
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413396
Faizan Ahmad, Aaima Najam
The goal of this paper is to provide; an up-to-date, critical and comprehensive; survey of existing literature on face classification. The survey of this research paper includes the research work ranges from single: frame, object, classifier to multi: frame, object, classifier approach that provides robust and efficient solution for several applications in the area of biometrics, personal security, law enforcement, information security, entertainment, smart card and access management. Such applications have several constraints in terms of complexity of processing requirements and thus present a wide range of technical challenges. The detail overview of techniques for segmentation/location of the face, tracking, feature extraction and recognition are reviewed. As human face is a dynamic object having high degree of variability in its appearance, that makes face detection a difficult problem in computer vision. In this paper we will provide a brief introduction, different approaches and related state of the art recent work in the field of face recognition and classification specially for videos like global transform and feature based methods. At the end critical analysis based on literature results and conclusion have been provided.
本文的目的是提供;一个最新的,批判性的和全面的;现有人脸分类文献综述。从单框架、对象、分类器方法到多框架、对象、分类器方法,为生物识别、人身安全、执法、信息安全、娱乐、智能卡和门禁管理等领域的应用提供了强大而高效的解决方案。这种应用程序在处理要求的复杂性方面有几个限制,因此提出了广泛的技术挑战。详细概述了人脸分割/定位、跟踪、特征提取和识别技术。人脸是一个动态的物体,其外观具有高度的可变性,这使得人脸检测成为计算机视觉中的一个难题。在本文中,我们将简要介绍,不同的方法和相关的最新工作,在人脸识别和分类领域,特别是视频,如全局变换和基于特征的方法。最后,根据文献结果和结论进行了批判性分析。
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引用次数: 6
Prefabrication design of an actuated exoskeleton for traumatized and paralytic hands 用于创伤和瘫痪手的驱动外骨骼的预制设计
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413404
H. Baqapuri, Hamza Asif Nizami, S. Siddiqui, J. Iqbal, U. Shahbaz
Partial Paralysis often occurs due to spinal cord injuries, which generally means some functionality loss in the hands of the affected. This paper covers a novel model design of an exoskeleton which will restore hand use for basic daily activities such as gripping and pinching. This also has applications for individuals who may be physically weaker such as the elderly or those with neuromuscular diseases. The design is economical to manufacture and hence affordable to the commoner. The structure is made of lightweight materials and the design is based closely on tendon actuation, which is how the human hand functions. Four servo motors are used to close and open the grip, with the thumb fixed in a specific position, which can be adjusted manually. Threads are used to actuate the exoskeleton structure by the servo motors.
部分瘫痪通常是由于脊髓损伤引起的,这通常意味着患者手部的一些功能丧失。本文介绍了一种新的外骨骼模型设计,它将恢复手部的基本日常活动,如抓握和捏捏。这也适用于身体较弱的人,如老年人或患有神经肌肉疾病的人。这种设计制造起来很经济,因此一般人也负担得起。该结构由轻质材料制成,其设计密切基于肌腱驱动,这就是人手的功能。使用四个伺服电机来关闭和打开握把,拇指固定在特定位置,可以手动调整。螺纹通过伺服电机驱动外骨骼结构。
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引用次数: 3
Penta band micro strip patch antenna 五波段微带贴片天线
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413391
N. Fazal, S. Bashir
This paper present pent band micro strip patch antenna that resonates at GSM (Global system for mobile communication), GPS(L), GPS(L2), WLAN(wireless local area Network) and UWB .The proposed design is fed by a micro strip line and the multi band operation is achieved by using slots in the patch and a conducting strip on the bottom side of the patch. The antenna exhibits return loss RL<;<;-10dB for all the five bands. Due to its small size it can be used in portable devices having multi band operations.
本文提出了一种可在GSM(全球移动通信系统)、GPS(L)、GPS(L2)、WLAN(无线局域网)和UWB上谐振的五波段微带贴片天线,该天线采用微带线馈电,利用贴片上的插槽和贴片底部的导电带实现多波段操作。天线在所有五个频段的回波损耗RL<;<;-10dB。由于其体积小,它可以用于具有多波段操作的便携式设备。
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引用次数: 1
Real-time obstacle avoidance and Path planning of a self-navigated autonomous biped robot using RugBat sonar sensors and modular digital image processing 采用RugBat声纳传感器和模块化数字图像处理的自主双足机器人的实时避障和路径规划
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413413
S. Mufti, Muhammad Alam
This paper introduces a method for integrating real-time obstacle avoidance capability in two-legged walking robots i.e. Biped using Sonar and Ultrasonic sensors embedded within the super-structure of the robot. The main objective of this paper is to elaborate the method involving the use of sonar and ultrasonic sensors for computing and analyzing path in real-time and avoiding obstacles based-on the computational algorithm embedded on the micro-controller. The Biped under consideration for this paper works on a 4-bar mechanism (4-DOF) and fulfills the Grubler/Kutzbach Mobility equation. The Biped is equipped with two-linear DC actuators fitted in the foot, providing effective turning radius and tilting of the Biped structure based on the obstacle avoidance algorithm. This paper also focuses on the design of a modular wireless segment that provides navigational control to the operator for In-Plane Path planning using Digital image processing filters and limiters embedded within the MATLAB environment. All the experimental results are directly compared with the simulated ones to prove the Sonar's and ultrasonic sensors effectiveness for In-Plane path planning.
本文介绍了一种集成双足步行机器人实时避障能力的方法,即在机器人的上部结构中嵌入声纳和超声波传感器。本文的主要目的是阐述基于嵌入式微控制器的计算算法,利用声纳和超声波传感器实时计算和分析路径并避障的方法。本文所考虑的两足机器人工作在四杆机构(四自由度)上,并满足Grubler/Kutzbach运动方程。该双足机器人在足部安装了双线性直流电致动器,提供了基于避障算法的双足机器人结构的有效转弯半径和倾斜度。本文还重点介绍了一个模块化无线段的设计,该无线段使用MATLAB环境中嵌入的数字图像处理滤波器和限制器为操作员提供导航控制,以进行平面内路径规划。将实验结果与仿真结果进行了比较,验证了声纳和超声传感器在平面内路径规划中的有效性。
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引用次数: 2
An MLP-based player detection and tracking in broadcast soccer video 基于mlp的广播足球视频球员检测与跟踪
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413398
M. Heydari, A. Moghadam
This paper addresses the automatic player detection and tracking problem applied to broadcast images of soccer games. We propose an approach for player detection in long view of broadcast soccer video. We detect long view frames using dominant color ratio. We use k-means clustering algorithm for calculating dominant color thresholds. Our method for player detection has two phases: in the first phase we perform a preprocessing for deleting some non-player regions, this is done with knowledge of soccer video domain and morphology operation. Remaining regions will be classified into player or non-player groups with using a Multilayer Perceptron Neural Network as classifier in second phase. Our used feature vector for every region consist of two parts: color value of region in Cb and Cr layers from YCbCr color space and area of the region. Finally we track each player. Experiments show that our method can detect player effectively and with high accuracy.
本文研究了足球比赛转播图像中球员的自动检测与跟踪问题。提出了一种基于广播足球视频的球员检测方法。我们使用主色比检测长视图帧。我们使用k-means聚类算法计算主色阈值。我们的球员检测方法有两个阶段:在第一阶段,我们执行预处理以删除一些非球员区域,这是通过足球视频域和形态学操作的知识完成的。在第二阶段,使用多层感知器神经网络作为分类器,将剩余区域划分为玩家或非玩家组。我们对每个区域使用的特征向量由两部分组成:来自YCbCr颜色空间的Cb层和Cr层区域的颜色值和区域的面积。最后我们跟踪每个玩家。实验表明,该方法能够有效地检测出玩家,且准确率较高。
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引用次数: 14
Modeling of airway in 4D lung CT images 肺四维CT图像气道建模
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413397
Z. Rasheed, D. Magee
Lung cancer is a disease that consists of uncontrolled cell growth in tissues of the lungs. There are a number of different treatment options available for lung cancer. Radiation therapy is a process in which high energy radiation is applied to kill cancer cells and shrink tumors. A treatment plan of patient is developed before radiation therapy in which the clinician spent a lot of time on manually marking the airways on the CT scan images so that airways can be protected while doing the radiotherapy. Work in this paper is a step towards automating the airway segmentation.
肺癌是一种由肺组织中不受控制的细胞生长组成的疾病。肺癌有许多不同的治疗选择。放射治疗是一种利用高能辐射杀死癌细胞和缩小肿瘤的过程。在放射治疗前制定患者的治疗方案,临床医生花费大量时间在CT扫描图像上手工标记气道,以便在进行放射治疗时保护气道。本文的工作是实现气道分割自动化的一步。
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引用次数: 0
Mobile robot navigation with distance control 具有距离控制的移动机器人导航
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413411
I. Ullah, Q. Ullah, F. Ullah, Seoyong Shin
Intelligent systems to increase the road safety have been widely applied in the automotive sector; similarly, they have critical importance in the robotics to navigate the robot safely. Automatic distance control system helps to avoid collision between vehicles. In this paper, we present an algorithm to maintain a distance between the robot and the object. It keeps the autonomous mobile robot at a safe distance from the object. It is implemented in a wheeled mobile robot to track the moving object. The surrounding information is obtained through the range sensors that are mounted at the front side of the robot. The central sensor gives instructions for the forward and backward motion, and the other sensors help for the left and right motion. To avoid collision, safety distance, which makes the movement easy in the out of range, stop, and forward and backward modes, is predefined in the mobile robot. Each time the range data is compared with the predefined distance measurements, and the respected function is activated. The robot is characterized due to low cost and simple control architecture. Different experiments were carried out in the indoor and outdoor environments with different objects. The results have shown that the robot tracks the object correctly by maintaining a constant distance from the followed object.
智能系统为提高道路安全性在汽车领域得到了广泛应用;同样,它们对于机器人安全导航也至关重要。自动距离控制系统,避免车辆之间的碰撞。在本文中,我们提出了一种保持机器人与目标之间距离的算法。它使自主移动机器人与物体保持安全距离。在轮式移动机器人中实现对运动物体的跟踪。周围的信息是通过安装在机器人前端的距离传感器获得的。中央传感器指示向前和向后运动,其他传感器帮助向左和向右运动。为了避免碰撞,在移动机器人中预定义了安全距离,使其在超出范围、停止、前进和后退模式下易于运动。每次将距离数据与预定义的距离测量值进行比较,并激活尊重的功能。该机器人具有成本低、控制结构简单的特点。在不同的室内和室外环境下进行不同的实验。结果表明,机器人与被跟踪物体保持一定距离,能够正确地跟踪目标。
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引用次数: 9
Prediction of energy consumption and surface roughness in reaming operation of Al-6061using ANN based models 基于人工神经网络的al -6061扩孔能耗及表面粗糙度预测
Pub Date : 2012-10-01 DOI: 10.1109/ICRAI.2012.6413385
S. Pervaiz, I. Deiab, S. Zafar, S. Shams
Reaming operation is a commonly used finishing phase for already drilled hole. Finishing is required because surface roughness of hole plays a significant role towards the functionality of the component. Surface roughness is a critical parameter for fatigue life of the component. Cutting forces are important indicator for power consumption required for cutting task. An artificial neural network (ANN) based surface roughness and power consumption model was established for Al 6061 under reaming operation. Back propagation neural networks were utilized for prediction of surface roughness and power consumption. Reaming test data was used to train and test the ANN network. In this presented study comparative investigation has been performed between the actual experimental values and neural network outputs to achieve good agreement.
扩眼作业是对已钻井进行精加工的常用工序。精加工是必需的,因为孔的表面粗糙度对部件的功能起着重要的作用。表面粗糙度是影响零件疲劳寿命的重要参数。切削力是切削任务所需功率消耗的重要指标。建立了基于人工神经网络(ANN)的Al 6061在扩孔工况下的表面粗糙度与能耗模型。利用反向传播神经网络对表面粗糙度和功耗进行预测。利用扩孔测试数据对人工神经网络进行训练和测试。在本研究中,我们将实际的实验值与神经网络的输出值进行了比较研究,得到了很好的一致性。
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引用次数: 5
期刊
2012 International Conference of Robotics and Artificial Intelligence
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