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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Y.-O. Kim J. Paik Jingu Heo A. Koschan B. Abidi M. Abidi Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Image Processing Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Imaging Robotics and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville USA

We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identification of a human face. Conventional surveillance or security systems, however, usually provide poor image quality because they use only fixed cameras to record scenes passively. We have implemented a real-time surveillance system that tracks a moving face using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction with the PTZ. Color information in the ROI is updated to extract features for optimal tracking and zooming. FaceIt/sup /spl reg//, which is one of the most popular face recognition software packages, is evaluated and then used to recognize the faces from the video signal. Experimentation with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.

关键词： Face recognition Surveillance Real time systems Humans Cameras Intelligent systems Security Image quality Layout Low pass filters

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Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

arXiv

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arXiv 2024年

作者： Banos, Oresti Comas-González, Zhoe Medina, Javier Polo-Rodríguez, Aurora Gil, David Peral, Jesús Amador, Sandra Villalonga, Claudia Department of Computer Engineering Automation and Robotics University of Granada Granada Spain Department of Computer Science and Electronics Universidad de la Costa Barranquilla Colombia Department of Computer Science University of Jaén Jaén Spain Department of Computer Technology and Computation University of Alicante Alicante Spain Department of Sotware and Computing Systems University of Alicante Alicante Spain

Background: Human Emotion Recognition (HER) has been a popular field of study in the past years. Despite the great progresses made so far, relatively little attention has been paid to the use of HER in autism. People with autism are known to face problems with daily social communication and the prototypical interpretation of emotional responses, which are most frequently exerted via facial expressions. This poses significant practical challenges to the application of regular HER systems, which are normally developed for and by neurotypical people. Objective: This study reviews the literature on the use of HER systems in autism, particularly with respect to sensing technologies and machine learning methods, as to identify existing barriers and possible future directions. Methods: We conducted a systematic review of articles published between January 2011 and June 2023 according to the 2020 PRISMA guidelines. Manuscripts were identified through searching Web of Science and Scopus databases. Manuscripts were included when related to emotion recognition, used sensors and machine learning techniques, and involved children with autism, young, or adults. Results: The search yielded 346 articles. A total of 65 publications met the eligibility criteria and were included in the review. Conclusions: Studies predominantly used facial expression techniques as the emotion recognition method. Consequently, video cameras were the most widely used devices across studies, although a growing trend in the use of physiological sensors was observed lately. Happiness, sadness, anger, fear, disgust, and surprise were most frequently addressed. Classical supervised machine learning techniques were primarily used at the expense of unsupervised approaches or more recent deep learning models. Studies focused on autism in a broad sense but limited efforts have been directed towards more specific disorders of the spectrum. Privacy or security issues were seldom addressed, and if so, at a rather

关键词： Emotion Recognition

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Wijin Suteeratanapirom Rapeepong Rattanawaorahirankul Chutima Laosapan Peerayot Sanposh Nattapon Chayopitak Kanokvate Tungpimolrut Hiroaki Kunieda TAIST Tokyo Technology China Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward Controller (FFC-PFC) are presented.

关键词： Friction computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

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An overview of RoboCup-2002 Fukuoka/Busan

An overview of RoboCup-2002 Fukuoka/Busan

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作者： Asada, Minoru Obst, Oliver Polani, Daniel Browning, Brett Bonarini, Andrea Fujita, Masahiro Christaller, Thomas Takahashi, Tomoichi Tadokoro, Satoshi Sklar, Elizabeth Kaminka, Gal A. Dept. of Adaptive Machine Systems Osaka University Osaka Japan University of Koblenz-Landau Artificial Intelligence Group Koblenz Germany University of Hertfordshire Hertfordshire United Kingdom Robotics Institute Carnegie Mellon University Pittsburgh PA United States Department of Electronics Politecnico di Milano Milano Italy GMD-Japan Research Laboratory Kitakyushu Japan Department of Computer Engineering Kobe University Kobe Japan Computer Science Department Ber Ilan University Ramat Gan Israel Computer Science Department Carnegie Mellon University Pittsburgh PA United States

This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the largest RoboCup since 1997 and held the first humanoid league competition in the world. Further, the first ROBOTREX (robot trade and exhibitions) was held with about 50 companies, universities, and institutes represented. A total of 117,000 spectators witnessed this marvelous event, To the best of our knowledge, this was the largest robotic event in history.

关键词： Artificial intelligence

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Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy

arXiv

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arXiv 2023年

作者： Sun, Hui Luo, Hao Wang, Feifei Chen, Qingjiu Chen, Meng Wang, Xiaoduo Yu, Haibo Zhang, Guanglie Liu, Lianqing Wang, Jianping Wu, Dapeng Li, Wen Jung Department of Mechanical Engineering City University of Hong Kong Hong Kong State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China Department of Electrical and Electronics Engineering The University of Hong Kong Hong Kong Shenzhen518000 China Department of Computer Science City University of Hong Kong Hong Kong

Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction limit. However, the technology requires coating conductive films on insulator samples and a vacuum environment. We use deep learning to obtain the mapping relationship between optical super-resolution (OSR) images and SEM domain images, which enables the transformation of OSR images into SEM-like large depth-of-field images. Our custom-built scanning superlens microscopy (SSUM) system, which requires neither coating samples by conductive films nor a vacuum environment, is used to acquire the OSR images with features down to ~80 nm. The peak signal-to-noise ratio (PSNR) and structural similarity index measure values indicate that the deep learning method performs excellently in image-to-image translation, with a PSNR improvement of about 0.74 dB over the optical super-resolution images. The proposed method provides a high level of detail in the reconstructed results, indicating that it has broad applicability to chip-level defect detection, biological sample analysis, forensics, and various other fields. Copyright © 2023, The Authors. All rights reserved.

关键词： Scanning electron microscopy

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Performance study of strongly coupled magnetic resonance

arXiv

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arXiv 2019年

作者： Wijerathna Basnayaka, Chathuranga M. Jayakody, Dushantha Nalin K. Sharma, Abhishek Wang, Hwang-Cheng Muthuchidambaranathan, P. Kaur, Kuljeet School of Postgraduate Studies and Research SRI LANKA Technological Campus Sri Lanka School of Computer Science and Robotics National Research Tomsk Polytechnic University Russia Dept. of Electronics and Communication Engineering LNM Institute of Information and Technology Jaipur India Department of Electronic Engineering National Ilan University Ilan Taiwan Dept. of Electronics and Communication Engineering National Institute of Technology Tiruchirappalli India Ecole de Technologie Superieure Universite du Quebec Montreal Canada

Strongly Coupled Magnetic Resonance (SCMR) uses electromagnetic resonance in order to efficiently transfer power wirelessly over mid-range distances. Since the energy exchange capability of resonant objects higher than non-resonant objects, strongly coupled systems are able to achieve more efficient energy transfer than other wireless power transfer systems. The paper presents detailed experimental and simulated analysis of the performance of the SCMR system. A prototype of the SCMR system was implemented and experiments were conducted to analyze the performance of the system. Finally, the resonant frequency of the system was experimentally verified and the factors influencing the wireless power transfer were also studied. Copyright © 2019, The Authors. All rights reserved.

关键词： Energy transfer

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Audio-Visual Speech Processing Framework for Lip Reading

Audio-Visual Speech Processing Framework for Lip Reading

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International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

作者： Abdulbaset M. Nasr Abd Rahman Ramli Mohammad Hamiruce Shamala K Subramaniam Robotics Lab Institute of advanced technology Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Computer and Communications Systems Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Electrical and Electronics Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia Department of Communication Technology & Networks Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor Darul Ehsan Malaysia

It is well known that speech production and perception process is inherently bimodal consisting of audio and visual components. Recently there has been increased interest in using the visual modality in combination with the acoustic modality for improved speech processing. This field of study has gained the title of audio-visual speech processing. Lip movement recognition, also known as lip reading, is a communication skill which involves the interpretation of lip movements in order to estimate some important parameters of the lips that include, but not limited to, size, shape and orientation. In this paper, we represent a hybrid framework for lip reading which is based on both audio and visual speech parameters extracted from a video stream of isolated spoken words. The proposed algorithm is self-tuned in the sense that it starts with an estimations of speech parameters based on visual lip features and then the coefficients of the algorithm are fine-tuned based on the extracted audio parameters. In the audio speech processing part, extracted audio features are used to generate a vector containing information of the speech phonemes. These information are used later to enhance the recognition and matching process. For lip feature extraction, we use a modified version of the method used by F. Huang and T. Chen for tracking of multiple faces. This method is based on statistical color modeling and the deformable template. The experiments based on the proposed framework showed interesting results in recognition of isolated words.

关键词： Speech processing Image processing Parameter estimation Data mining Feature extraction Robots computer networks Systems engineering and theory Communications technology computer science

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Ubiquitous Robot: A New Paradigm for Integrated Services

Ubiquitous Robot: A New Paradigm for Integrated Services

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IEEE International Conference on robotics and Automation (ICRA)

作者： Jong-Hwan Kim Kang-Hee Lee Yong-Duk Kim Naveen Suresh Kuppuswamy Jun Jo Robot Intelligence Technology Lab Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology Daejeon South Korea Application Technology Lab Telecommunication Research & Development Center Telecommunication Network business Samsung Electronics Company Limited Robotics and Computer Games Laboratory Griffith University Australia

This paper presents the components and overall architecture of the ubiquitous robot (Ubibot) system developed to demonstrate ubiquitous robotics, a new paradigm for integrated services. The system has been developed on the basis of the definition of the ubiquitous robot as that of encompassing the software robot Sobot, embedded robot Embot and the mobile robot Mobot. This tripartite partition, which independently manifests intelligence, perception and action, enables the abstraction of intelligence through the standardization of sensory data and motor or action commands. The Ubibot system itself is introduced along with its component subsystems of Embots, the position Embot, vision Embot and sound Embot, the Mobots of Mybot and HSR, the Sobot, Rity, a virtual pet modeled as an artificial creature, and finally the middleware which seamlessly enables interconnection between other components. Three kinds of experiments are devised to demonstrate the fundamental features, of calm sensing, context awareness and seamless service transcending the spatial limitations in the abilities of earlier generation personal robots. The experiments demonstrate the proof of concept of this powerful new paradigm which shows great promise.

关键词： Intserv networks Mobile robots Robot sensing systems Intelligent robots Intelligent sensors computer architecture Embedded software Artificial intelligence Standardization Positron emission tomography

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A structured approach to fuzzy abduction based on contraposition property of propositional logic

A structured approach to fuzzy abduction based on contraposi...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Aruna Chakraborty Amit Konar Atulya K. Nagar Visiting Faculty in the M.Tech Course on Intelligent Automation and Robotics Jadavpur University Calcutta India Artificial Intelligence Laboratory Department of Electronics and Telecommunication Engineering Jadavpur University Calcutta India Department of Computer Science Liverpool Hope University Liverpool UK

The paper proposes a new approach to fuzzy abduction by extending the contraposition rule of propositional logic. The main difficulty of fuzzy abduction is due to the restriction of single antecedent clause in a fuzzy production rule. When more than one antecedent clause occurs jointly in a fuzzy rule, the membership value of the derived antecedent clauses become equal, which should not be the case in general. The paper overcomes this problem and demonstrates a simple but elegant method to compute premises in a multi-chained reasoning system.

关键词： Production Firing Cognition Fuzzy sets Electronic mail computer science

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Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control

Guiding Soft Robots with Motor-Imagery Brain Signals and Imp...

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IEEE International Conference on Soft robotics (RoboSoft)

作者： Maximilian Stölzle Sonal Santosh Baberwal Daniela Rus Shirley Coyle Cosimo Della Santina The Cognitive Robotics department Delft University of Technology Mekelweg 2 CD Delft Netherlands School of Electronics Engineering Dublin City University Dublin Ireland MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology Cambridge MA USA

Integrating Brain-Machine Interfaces into non-clinical applications like robot motion control remains difficult - despite remarkable advancements in clinical settings. Specifically, EEG-based motor imagery systems are still error-prone, posing safety risks when rigid robots operate near humans. This work presents an alternative pathway towards safe and effective operation by combining wearable EEG with physically embodied safety in soft robots. We introduce and test a pipeline that allows a user to move a soft robot's end effector in real time via brain waves that are measured by as few as three EEG channels. A robust motor imagery algorithm interprets the user's intentions to move the position of a virtual attractor to which the end effector is attracted, thanks to a new Cartesian impedance controller. We specifically focus here on planar soft robot-based architected metamaterials, which require the development of a novel control architecture to deal with the peculiar nonlinearities - e.g., non-affinity in control. We preliminarily but quantitatively evaluate the approach on the task of setpoint regulation. We observe that the user reaches the proximity of the setpoint in 66% of steps and that for successful steps, the average response time is 21.5s. We also demonstrate the execution of simple real-world tasks involving interaction with the environment, which would be extremely hard to perform if it were not for the robot's softness.

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