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共 476 条记录，以下是231-240 订阅

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Geometry Based LM of robot to Imitate Human Motion with Kinect 4

Geometry Based LM of Robot to Imitate Human Motion with Kine...

引用

4th IEEE International conference on Image, vision and Computing, ICIVC 2019

作者： Guo, Wei Chen, Jianxin Zhang, Ming Pan, Zhaolai Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

ISBN: (纸本)9781728123257

Humanoid robots are easily accepted by people because they have a body shape and appearance close to human. Humanoid robots have many application scenarios and great application potentials. Nevertheless, it is not easy to realize robot simulation due to the different physical structures of human bodies and robots. In this paper, we propose a geometry based LM algorithm for the robot to imitate the human motion of upper limb in real time. this method greatly improves the joint angle similarity under the premise of ensuring the similarity of the end trajectories. We designed a comprehensive and unrestricted motion simulation experiment to verify this method. © 2019 IEEE.

关键词： Inverse kinematics

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Human-computer interaction control of snake-like robot based on gesture recognition 2019

Human-computer interaction control of snake-like robot based...

引用

4th International conference on Automation, Control and robotics Engineering, CACRE 2019

作者： Chen, Yidong Wei, Wu Xiao, Wenyu Automation Department South China University of Technology Guangzhou China

ISBN: (纸本)9781450371865

Human-computer interaction has been a hot topic in the development of robots. Gesture recognition is a significant part of it. Existing snake-like robot is controlled by the handle and joystick. It is worth studying that use gesture to control robots. Existing main vision-based gesture recognition methods are based on a two-stage method: hand detection and segmentation, feature extraction and template matching process. Inspired by the YOLO[1] algorithm, this paper proposed a one-stage gesture recognition and snake-like robot control method, based on deep learning, combined image segmentation and classification, realized end-to-end recognition and robot control. the snake-like robot can react to four types of human’s gestures with a rapid processing time. © 2019 Association for Computing Machinery.

关键词： Human computer interaction

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Review on the Status and Development Trend of AI Industry 4

Review on the Status and Development Trend of AI Industry

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4th IEEE International conference on Cloud Computing and Big Data Analysis (ICCCBDA)

作者： Yang, Li Zhu, Min Anhui Univ Sch Arts & Commun Hefei 230011 Anhui Peoples R China Shanghai Jiao Tong Univ Sch Phys & Astron Shanghai 200240 Peoples R China

ISBN: (纸本)9781728114101

the status and development of artificial intelligence attract scholars from different countries. this paper focuses on status of AI and majors to conduct in-depth research in AI industry. the paper draws the outline of general status based on AI from quantitative to qualitative scientific practice, the development level of AI is inferred. We investigated the differential AI status of all of the verified cases distributed from 1990 to 2017. Choosing the artificial intelligence industry as data source, AI research output was inspected and some key elements of AI were analyzed. We found that AI papers increased to more than 400%,AI venture capital surged 6 times, AI start-ups surged 14 times, New AI application skills become the core skills of job searching, image labeling accuracy rate was up more than 26%,robot imports increased to 2.5 times. And then its future development trend is predicted. A large study reveals that 'AI+ Industry' is the future development direction, computer vision research highlights image and video applications, sales of robot increase year by year, increased types of work and high efficiency of human-machine complement, and interactive interface makes people go head with empty hands.

关键词： AI industry status trend image labeling accuracy venture capital sales of robot interactive interface

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Image Matching Based on Harris-Affine Detectors and Translation Parameter Estimation by Phase Correlation 4

Image Matching Based on Harris-Affine Detectors and Translat...

引用

4th IEEE International conference on Signal and Image Processing (ICSIP)

作者： Zheng, Yi Zheng, Ping Shandong Technol & Business Univ Sch Informat & Elect Engn Yantai Peoples R China Anhui Univ Sci & Technol Sch Comp Sci & Engn Huainan Peoples R China

ISBN: (纸本)9781728136608

Image matching is an important technology in the filed of computer vision. An effective image matching method based on the Harris-Affine detector and translation parameter estimation by phase correlation is proposed and studied in depth. Firstly, translation parameters of two images are estimated by phase correlation method, and overlapping areas are determined in these two images. Secondly, feature points are detected by using the Harris-Laplace detector in overlapping areas of these two images. thirdly, these feature points arc taken as initial points, and the Harris-Affine detector is used to detect those feature points with affine invariance. Finally, image matching is performed by using a normalized cross-correlation algorithm. Simulation experiments arc carried out by using the proposed image matching method. Experimental results demonstrate that the proposed method can match feature point pairs accurately and effectively. the proposed image matching method can be used in the fields of three-dimensional reconstruction, augmented reality and teleoperation robot.

关键词： computer vision image matching corner detection Harris-Affine detector phase correlation normalized cross-correlation

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Emotion Recognition Using Feature-level Fusion of Facial Expressions and Body Gestures 4

Emotion Recognition Using Feature-level Fusion of Facial Exp...

引用

4th International conference on Communication and Electronics Systems, ICCES 2019

作者： Keshari, Tanya Palaniswamy, Suja Amrita School of Engineering Amrita Vishwa Vidyapeetham Dept of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781728112619

Automatic emotion recognition using computer vision is significant for many real-world applications like photojournalism, virtual reality, sign language recognition, and Human robot Interaction (HRI) etc., Psychological research findings advocate that humans depend on the collective visual conduits of face and body to comprehend human emotional behaviour. Plethora of studies have been done to analyse human emotions using facial expressions, EEG signals and speech etc., Most of the work done was based on single modality. Our objective is to efficiently integrate emotions recognized from facial expressions and upper body pose of humans using images. Our work on bimodal emotion recognition provides the benefits of the accuracy of both the modalities. © 2019 IEEE.

关键词： Emotion Recognition

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Large-Scale 3D Semantic Mapping Using Monocular vision 4

Large-Scale 3D Semantic Mapping Using Monocular Vision

引用

4th IEEE International conference on Image, vision and Computing, ICIVC 2019

作者： Zhang, Cheng Liu, Zhi Liu, Guangwen Huang, Dandan Changchun University of Science and Technology Department of Electronic Information and Engineering Changchun China

ISBN: (纸本)9781728123257

In recent years, with the rapid development of artificial intelligence, simultaneous localization and mapping technology to solve robot perception problems has been widely used in automatic driving, robot navigation, augmented reality and other fields. In this paper, a method of reconstructing large outdoor 3D dense semantic map based on monocular vision is proposed. Firstly, the motion trajectory of the camera is estimated by visual odometer, and the depth data is obtained by monocular depth estimation algorithm. Meanwhile, a dense conditional random field (CRF) image segmentation system based on deep learning and super-pixel distribution is used for semantic segmentation. then 2D image semantics are gradually transferred to 3D point clouds by Bayesian progressive label migration strategy and further optimize 3D labels through a novel CRF model. Super pixels are utilized to enforce smoothness and form robust PN high order potential. Finally, dense 3D semantic maps of urban environment is generated by arbitrary length image sequence. the algorithm is tested on KITTI dataset, and the constructed semantic map shows that the proposed algorithm can reconstruct globally consistent semantic map in large-scale outdoor scenes. © 2019 IEEE.

关键词： Semantic Segmentation

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vision-based Control for Open-source Mobile robots

Vision-based Control for Open-source Mobile Robots

引用

Vocational Education and Training (ICOVET), International conference on

作者： Ryosuke Miyata Yunan He Osamu Fukuda Nobuhiko Yamaguchi Hiroshi Okumura Anik Nur Handayani Graduate School of Science and Engineering Saga University Saga Japan Universitas Negeri Malang Malang Indonesia

ISBN: (数字)9781728181318

ISBN: (纸本)9781728181325

In this research, we developed an AI autonomous mobile robot based on open-source software. this robot is capable of voice recognition and object recognition, and with these functions, the robot can find and approach the object specified though a user's voice. Since the robot is controlled with the voice commands, the user can control the robot intuitively. We used a software platform named robot Operating System (ROS) to speed up the development. All functions including voice recognition, object recognition, and robot control are implemented in a single board computer based on open source software. We conducted the preliminary experiments and verified the performance of the developed system.

关键词： robots Speech recognition Image recognition Mobile robots robot kinematics robot sensing systems Artificial intelligence

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Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and visions 1

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4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain conference for Machine Learning and Knowledge Extraction, CD-MAKE 2020

作者： Longo, Luca Goebel, Randy Lecue, Freddy Kieseberg, Peter Holzinger, Andreas School of Computer Science Technological University Dublin Dublin Ireland xAI-Lab Alberta Machine Intelligence Institute University of Alberta Edmonton Canada Inria Sophia Antipolis Biot France Thales Montreal Canada JRC Blockchains University of Applied Sciences St. Pölten Sankt Pölten Austria Human-Centered AI Lab Institute for Medical Informatics Statistics and Documentation Medical University Graz Graz Austria

ISBN: (数字)9783030573218

ISBN: (纸本)9783030573201

the development of theory, frameworks and tools for Explainable AI (XAI) is a very active area of research these days, and articulating any kind of coherence on a vision and challenges is itself a challenge. At least two sometimes complementary and colliding threads have emerged. the first focuses on the development of pragmatic tools for increasing the transparency of automatically learned prediction models, as for instance by deep or reinforcement learning. the second is aimed at anticipating the negative impact of opaque models with the desire to regulate or control impactful consequences of incorrect predictions, especially in sensitive areas like medicine and law. the formulation of methods to augment the construction of predictive models with domain knowledge can provide support for producing human understandable explanations for predictions. this runs in parallel with AI regulatory concerns, like the European Union General Data Protection Regulation, which sets standards for the production of explanations from automated or semi-automated decision making. Despite the fact that all this research activity is the growing acknowledgement that the topic of explainability is essential, it is important to recall that it is also among the oldest fields of computer science. In fact, early AI was re-traceable, interpretable, thus understandable by and explainable to humans. the goal of this research is to articulate the big picture ideas and their role in advancing the development of XAI systems, to acknowledge their historical roots, and to emphasise the biggest challenges to moving forward. © 2020, IFIP International Federation for Information Processing.

关键词： Forecasting

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Indoor Location and Tracking System Using computer vision 4th

Indoor Location and Tracking System Using Computer Vision

引用

4th International conference on Human Centered Computing, HCC 2018

作者： Ramírez-Díaz, Adrián J. Rodríguez-García, José Mendoza, Sonia Viveros, Amilcar Meneses Department of Computer Science Centro de Investigación y de Estudios Avanzados del IPN Mexico City Mexico

ISBN: (纸本)9783030151263

In ubiquitous computing systems, determining the location of objects in the environment can provide basic information about the context of such objects. In closed environments an Interior Positioning System (IPS) helps to determine the location of people or robots through the use of a point-based reference system placed in the environment. Several mechanisms can be used to locate references, for example: light sensing, radio frequencies, sound, or images. In this paper, it is presented an image-based IPS that finds the location of a robot in a zone and provides functions to generate paths for the robot. the zones are identified through reference markers, which are analyzed in a server using image processing and Cloud robotics, in order to minimize processing load in the robot. Once the marker is analyzed, a route is sent to the robot. © 2019, Springer Nature Switzerland AG.

关键词： robots

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Design of Imitative Control Modalities for a 3 Degree of Freedom robotic Arm

Design of Imitative Control Modalities for a 3 Degree of Fre...

引用

International conference on computer, Communication and Signal Processing (ICCCSP)

作者： H. Gokul S. V. Kanna H. Akshay Kumar Vignesh Ravikumar Undergraduate Student Sri Sivasubramaniya Nadar College of Engineering Chennai India

ISBN: (数字)9781728165097

ISBN: (纸本)9781728165103

this research article focuses on enabling real-time Human-robot Interaction (HRI) with two input control modalities designed to control a robotic arm. the robotic arm comprises of 3 Degrees of Freedom (DOF) and is controlled using the following 2 strategies: Inertial Sensor-glove and Image-based visual servoing. the Mathematical model of the given 3 DOF robotic arm was derived and the two proposed methods were explicitly designed for the same. the inertial sensor-glove, worn by the user, is embedded with inertial sensors that provide data to track the motion of the user's arm. the Image-based visual servoing modality is a mono-vision based approach which tracks the motion of a target object held by the user using a camera and operates similar to a mouse-pointer but in 3 dimensions. Fitts's Targeting tasks were performed to analyse the performance of these Human-robot Interactive input modalities.

关键词： Manipulators robots robot sensing systems Sensors Image color analysis Target tracking Inertial sensors

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