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A Novel Convolutional Neural Network for Facial Expression Recognition 4th

A Novel Convolutional Neural Network for Facial Expression R...

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4th International conference on Cognitive Systems and Information Processing (ICCSIP)

作者： Li, Jing Mi, Yang Yu, Jiahui Ju, Zhaojie Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China Shenyang Ligong Univ Sch Informat Sci & Engn Shenyang 110159 Liaoning Peoples R China Univ Portsmouth Sch Comp Portsmouth PO1 3HE Hants England Chinese Acad Sci Shenyang Inst Automat State Key Lab Robot Shenyang 110016 Liaoning Peoples R China

ISBN: (纸本)9789811379864;9789811379857

Facial expression recognition is becoming a hot topic due to its wide applications in computer vision research fields. Traditional methods adopt hand-crafted features combined with classifiers to achieve the recognition goal. However, the accuracy of these methods often relies heavily on the extracted features and the classifier's parameters, and thus cannot get good result with unseen data. Recently, deep learning, which simulates the mechanism of human brain to interpret data, has shown remarkable results in visual object recognition. In this paper, we present a novel convolutional neural network which consists of local binary patterns and improved Inception-ResNet layers for automatic facial expression recognition. We apply the proposed method to three expression datasets, i.e., the Extended Cohn-kanade Dataset (CK+), the Japanese Female Expression Database (JAFFE), and the FER2013 Dataset. the experimental results demonstrate the feasibility and effectiveness of our proposed network.

关键词： Facial expression recognition Deep learning LBP Inception-ResNet layers

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Integration of Industrial Automation and IoT Devices on the Example of the Assembly Station with the Astorino Educational robot 4th

Integration of Industrial Automation and IoT Devices on the ...

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4th International conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023

作者： Ćwikla, Grzegorz Kalinowski, Krzysztof Kciuk, Marek Gold, Michal Waluśkiewicz, Marek Sladek, Michal Tlolka, Jaroslaw Woźnica, Robert Wlazlo, Aleksander Faculty of Mechanical Engineering Silesian University of Technology Konarskiego 18A Gliwice44-100 Poland Faculty of Electrical Engineering Silesian University of Technology Akademicka 10A Gliwice44-100 Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

ISBN: (纸本)9783031442810

the article presents an automated assembly station designed by students as part of Project Based Learning. the task of the project was to familiarize with the issues of integration of automation and control elements operating in various standards in order to implement the idea of Industry 4.0. the main elements of the station are the Astorino educational robot, gripper, servo drive and other professional elements of industrial automation and IoT systems. Raspberry PI, microcontrollers, etc. are also used. the assembly process of the product in the configuration in accordance with the user’s order is carried out at the station, quality control is carried out during the process using a vision system and various sensors. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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Robust Object Finding vision System based on Saliency Map Analysis

Robust Object Finding Vision System based on Saliency Map An...

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International conference on Awareness Science and Technology

作者： Jyun-han Wei Shih-Hung Wu Liang-Pu Chen Wen-Tai Hsieh Seng-cho T. Chou Dept. of CSIE Chaoyang University of Technology Taichung Taiwan (R.O.C) Institute for Information Industry Taipei Taiwan (R.O.C) Department of IM National Taiwan University Taipei Taiwan (R.O.C)

ISBN: (纸本)9781467321112

this paper describes a new method of constructing a saliency map that can be used in object finding for a robot vision system. A saliency map shows the weight of each pixel in an image. the weights represent the probability of the location of a given object. Traditionally, a saliency map is constructed based on the analysis of the image color features of the RGB color space. We redefine the saliency map of an image on the HSL color space, which makes our method more robust under a wide range of luminance. Experimental results show that the range can cover most cases in everyday life. thus, the system can successfully find objects under different conditions and various light sources.

关键词： robot vision saliency map object finding robot vision MAPPING(MAthEMATICAL) maps RGB colour space image analysis computer vision new methods LIGHT SOURCES FINDINGS Robustness

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Design and Assembling of Mobile Controlled Sanitizing robot with Camera and Sanitizer Level Detection for Measuring Area and Distance in Comparison with Pesticide Spraying robot

Design and Assembling of Mobile Controlled Sanitizing Robot ...

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Advances in Computing, Communication Control and Networking (ICAC3N), International conference on

作者： A. Vijaybhaskar Reddy A. Rama Department of Electronics and Communication Engineering Saveetha University Chennai Tamilnadu India

the aim of this study is to design and implement the mobile controlled sanitizing robot with a camera by comparing it with a pesticide spraying robot. the components used in the design of a mobile controlled sanitizing robot are Arduino, Bluetooth module, motor shield, camera, and chassis. the Arduino board is programmed from a computer using the Arduino IDE app. For groups 1 and 2, the overall sample size is 20. Sanitizing robot achieved 35% less standard error, moves 23.77% faster than the pesticide spraying robot, and has a significance value of less than 0.0001(p<0.05). In this study, it is found that the sanitizing robot performs better than the pesticide spraying robot in spraying on a plain surface.

关键词： Bluetooth Computational modeling robot vision systems Area measurement Spraying Optical fiber networks Cameras

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Mobile human-robot teaming with environmental tolerance

Mobile human-robot teaming with environmental tolerance

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ACM/IEEE International conference on Human-robot Interaction (HRI)

作者： Matthew M. Loper Nathan P. Koenig Sonia H. Chernova Chris V. Jones Odest C. Jenkins Computer Science Dpt. Brown University Providence RI USA Computer Science Dpt. University of Southern California Los Angeles CA USA Computer Science Dpt. Carnegie Mellon University Pittsburgh PA USA Research Group iRobot Corporation Bedford MA USA

We demonstrate that structured light-based depth sensing with standard perception algorithms can enable mobile peer-to-peer interaction between humans and robots. We posit that the use of recent emerging devices for depth-based imaging can enable robot perception of non-verbal cues in human movement in the face of lighting and minor terrain variations. Toward this end, we have developed an integrated robotic system capable of person following and responding to verbal and non-verbal commands under varying lighting conditions and uneven terrain. the feasibility of our system for peer-to-peer HRI is demonstrated through two trials in indoor and outdoor environments.

关键词： Humans Cameras Speech recognition robot vision systems Hidden Markov models

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Design and construction of an underwater robot

Design and construction of an underwater robot

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International conference on Advances in Electrical Engineering (ICAEE)

作者： Sanjib Kumar Deb Jahed Hossen Rokky Tuton Chandra Mallick Juliana Shetara Department of Electrical and Electronic Engineering Premier University Chittagong Bangladesh

this paper describes a wirelessly controlled underwater robot that can move under water and it can be even controlled by an android smart phone very easily. An arduino based platform in used to process, transmit and receive all information. there are many kinds of robots have been designed and constructed with the development of computer and information processing technology. A low cost underwater robot and its propulsion system are complete wirelessly using the combination of a pair of arduino board and a pair of RF module that makes our project different. Six handmade waterproof thrusters control the propulsion system horizontally and vertically of this robot. the camera of this robot works as eyes. this robot can be used in various purpose such as underwater environmental monitoring, oceanographic survey, pipeline and subsea structure inspection, debris inspection and more related purpose.

关键词： Unmanned underwater vehicles Radio frequency DC motors Smart phones Cameras robot vision systems

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Screw Propelled Autonomous Amphibian Waste Collector

Screw Propelled Autonomous Amphibian Waste Collector

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International conference on computer and Communications Technologies (ICCCT)

作者： L. Kurinjimalar N. Anitha V. Malini T.N. Hariprasad S.Kalyana Sundaram Sri Sairam Engineering College Chennai India System Engineer Infosys Limited Chennai India SEW Erodrive India Pvt. Ltd Chennai India

ISBN: (纸本)9781665414487

Waste collection has become one of the most challenging tasks in highly populated countries. In places like pond and surrounding's, people gather and put light weight waste regularly. Waste collection in both water and land requires unusual manual effort. However, by using robot with special design it become very easy. In this paper, a novel design of screw propelled amphibian robot is proposed to manage waste collection in both land and water. the robot can work autonomously in wide variety of terrains which includes grass, road, marsh, water, etc. the mechanical design of the robot was developed in computer Aided Design (CAD) and prototype was designed and tested in various working environments. Mobile Application was developed for manual control.

关键词： Design automation Roads robot vision systems Wheels Fasteners Propulsion Sensors

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the Utility Model for adaptive multimedia systems 4

The Utility Model for adaptive multimedia systems

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4th International conference on Multi-Media Modeling, MMM 1997

作者： Khan, Shahadat Li, Kin F. Manning, Eric G. Department of Electrical and Computer Engineering University of Victoria VictoriaBCV8W SP6 Canada Department of ECE and Computer Science University of Victoria VictoriaBCV8W SP6 Canada

ISBN: (纸本)9810233515

We present the Utility Model - a mathematical model to incorporate the dynamics of adaptive multimedia systems (AMSs). It is based on the concepts of quality profile, quality-resource mapping, session and system utility, and of system resource constraints. the main problem in a multi-session AMS is to find an operating quality for each session such that the overall system utility is maximized under the system resource constraints. this is called the adaptive multimedia problem (AMP). the Utility model formulates the AMP as a dynamic optimization problem, and maps it to a multiple-choice multiconstraint 0-1 knapsack problem. this work provides a unified approach to both admission control of new multimedia sessions and the dynamic quality adaptation of existing sessions. It also provides a computationally feasible real-time method to optimize the utility (e.g., revenue) of real multimedia systems. © Multimedia Modeling, MMM 1997 - Modeling Multimedia Information and Systems. All rights reserved.

关键词： Multimedia systems

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Study on the substation inspection robot navigation system based on Fuzzy-PID control

Study on the substation inspection robot navigation system b...

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2015 4th International conference on computer, Mechatronics, Control and Electronic Engineering (ICCMCEE 2015)

作者： Suiqun LI Lecai CAI Xiang Gao Yong Wang Yonghong Zhu School of SI Chuan University of Science & Engineering School of YI BIN University

ISBN: (纸本)9781510813465

Based appear for magnetic navigation system for substation inspection robot navigation course accumulation of errors phenomenon, fuzzy PID control algorithm is applied to inspection robot navigation system, navigation path through the logic of correction, to achieve stability navigation. On the movement patterns of inspection robot is modeled using fuzzy algorithm parameters that affect the stability of the navigation processing, the simulation shows that fuzzy-PID robot navigation algorithm higher precision control, better operational stability.

关键词： magnetic navigation patrol robot fuzzy PID control

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Particle filter based multi-pedestrian tracking by HOG and HOF

Particle filter based multi-pedestrian tracking by HOG and H...

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International conference on Information Science and Technology (ICIST)

作者： Can Yang Baopu Li Guoqing Xu Chinese University of Hong Kong Hong Kong Shenzhenn Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Shenzhen University Shenzhen

Automatic pedestrian detection and tracking is an important issue in the field of computer vision and robot navigation. We propose a scheme to implement multi-pedestrian tracking in a scene obtained by a static camera. We combine HOG and HOF features to describe the characteristics of persons. AdaBoost algorithm is then utilized to train a strong classifier for better detection accuracy of persons. We use particle filter as the tracking framework and train a online SVM classifier, which is the observation model, by reliable samples from associated detections without occlusion. In consideration of the target's velocity into the weights calculation, the data association is more reliable. the preliminary experiments on some benchmark data demonstrate the feasibility of the proposed scheme.

关键词： Target tracking Particle filters Detectors conferences computer vision Support vector machines

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