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检索条件"任意字段=International Conference on Robot Vision and Signal Processing"

共 18153 条记录，以下是711-720 订阅

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IDENTIFICATION OF PREDICTIVE SUBNETWORK FOR BRAIN NETWORK-BASED PSYCHIATRIC DIAGNOSIS: AN INFORMATION-THEORETIC PERSPECTIVE

IDENTIFICATION OF PREDICTIVE SUBNETWORK FOR BRAIN NETWORK-BA...

引用

IEEE international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Zheng, Kaizhong Yu, Shujian Chen, Badong Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian Peoples R China Vrije Univ Amsterdam Dept Comp Sci Amsterdam Netherlands

ISBN: (纸本)9798350302615

Graph neural networks (GNNs) have recently been applied to develop useful diagnostic tools for psychiatric disorders. However, due to the lack of interpretability, clinicians are hard to identify quantifiable and personalizable biomarkers which provide biologically and clinically relevance. We introduce three recently proposed GNN-based psychiatric disorders diagnostic models, namely BrainIB, Graph-PRI and CI-GNN, from an information-theoretic perspective. These models are able to discriminate psychiatric patients from healthy controls and identify predictive subgraph, a.k.a. biomarkers, solely from observations. We demonstrate their improved classification accuracy and interpretability on ABIDE database. We also put forward three proposals for future research.

关键词： Biomarkers

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Enhancing Accessibility and Inclusivity For People With Disabilities Using Hand Gesture Recognition 10

Enhancing Accessibility and Inclusivity For People With Disa...

引用

10th international conference on Communication and signal processing, ICCSP 2024

作者： Susilasakthy, S. Devi, B.Renuka Rani, T.P. Niveditha, P. Pooja, D. Sri Sairam Engineering College Dept of It Chennai India

ISBN: (纸本)9798350353068

This study introduces a new method of home automation tailored to the needs of those who have trouble moving about. Using only your hands, you can turn on and off lights, fans, and other electrical devices. Providing individuals with mobility impairments with the means to autonomously manage their living area is the declared goal of the initiative, which aims to encourage greater independence and better their quality of life. The suggested system uses computer vision and machine learning techniques to decipher recorded hand motions seen through a camera interface. The system may be able to interpret specific hand movements as commands to operate different home appliances if it has learned to recognize them. We create and deploy a reliable system for the detection and categorization of gestures in real-time. Modern computer vision techniques, including Convolutional Neural Networks (CNNs) and algorithms for hand tracking, enable the system to accurately understand motion. Assigning certain commands to the recognized motions allows for the operation of smart home electrical products, such as lighting and ceiling fans. Plus, if the disabled person needs assistance, this device may notify the caregiver. We aim to enable people with impairments to live more independently and comfortably in their homes by giving this home automation system that is controlled by gestures. Accessibility and inclusion in smart home settings are significantly advanced by our effort, which leverages state-of-the-art technology and prioritizes user-centric design concepts. © 2024 IEEE.

关键词： Computer vision

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FG-PIH: A Fusion of Fresnelet Transform and Gradient Directional Pattern for Perceptual Image Hashing 2

FG-PIH: A Fusion of Fresnelet Transform and Gradient Directi...

引用

2nd international conference on Recent Trends in Microelectronics, Automation, Computing, and Communications Systems, ICMACC 2024

作者： Meesala, Pavani Thounaojam, Dalton Meitei Computer Science and Engineering National Institute of Technology Silchar Computer Vision Laboratory Silchar India

ISBN: (纸本)9798350366570

Perceptual image hashing is pivotal in various image processing applications, including image authentication, content-based image retrieval, tampered image detection, and copyright protection. This paper proposes a novel approach for perceptual image hashing by combining the Fresnelet Transform with Gradient Directional Patterns. Using the FG-PIH technique, the proposed method achieves superior robustness against common image processing attacks while maintaining perceptual similarity for near-duplicate images. Experimental results on standard benchmark datasets demonstrate the effectiveness and efficiency of the proposed Fresnelet Transform-based perceptual image hashing scheme. Furthermore, comparative analysis against state-of-the-art methods underscores the competitiveness of our approach in terms of hash quality and computational complexity. © 2024 IEEE.

关键词： Hamming distance

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Bio-signal Activated FPGA-based System for robotic-Assisted Rehabilitation 3

Bio-signal Activated FPGA-based System for Robotic-Assisted ...

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3rd international conference on robotics, Automation and Artificial Intelligence (RAAI)

作者： Pillai, Hrishikesh H. Priya, Lal P. S. Ekanayaka, Kavinga Upul Suthakorn, Jackrit Pillai, Branesh M. APJ Abdul Kalam Technol Univ Coll Engn Trivandrum Thiruvananthapuram Kerala India ACCELR Colombo Western Provinc Sri Lanka Mahidol Univ Fac Engn Ctr Biomed & Robot Technol BART LAB Salaya Nakhon Pathom Thailand

ISBN: (纸本)9798350307573;9798350307566

This paper presents a pivotal contribution to multimodal bio-signal processing for robotic control applications, leveraging cutting-edge Field Programmable Gate Array (FPGA) technology to unlock new frontiers in accuracy, efficiency, and real-time control. The comprehensive hardware implementation strategy is characterized by the strategic utilization of a Fast Fourier Transform/ Inverse Fast Fourier Transform (FFT/IFFT) - based filtering algorithm optimized for Electroencephalography (EEG) signal processing. Concurrently, an inventive movement classification methodology powered by Electrooculography (EOG) signals is introduced. The core proposition of the paper revolves around the implementation of an EEG and EOG-driven Multi Input Single Output (MISO) control system, intended for the control of rehabilitation robots. The effectiveness of the proposed method was verified by simulation in LabVIEW. The algorithm has been seamlessly integrated into the MyRio 1900 hardware platform, leveraging the immense processing power of a Xilinx FPGA.

关键词： robotic-assisted rehabilitation bio-signal FFT/IFFT filter FPGA

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Joint Underwater Depth Estimation and Dehazing from a Single Image Using Attention U-Net 18th

Joint Underwater Depth Estimation and Dehazing from a Sin...

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18th international Workshop on Design and Architecture for signal and Image processing, DASIP 2025

作者： Nazir, Saqib Asiyabi, Reza Mohammadi Lezoray, Olivier Normandie Univ UNICAEN ENSICAEN CNRS GREYC Caen France School of GeoSciences The University of Edinburgh Edinburgh United Kingdom

ISBN: (纸本)9783031878961

Underwater imaging presents unique challenges compared to open-air photography, primarily due to diminished visibility and geometric distortions, impeding the development of underwater Computer vision (CV) and robotic vision perception. Previous methods relying on simplified image formation models for image enhancement have often yielded unsatisfactory results. This paper proposes a new deep learning-based architecture for joint depth estimation and dehazing from a single underwater monocular image, seeking to take advantage of the mutual benefits between these two interrelated tasks. The proposed architecture is a Two-Headed Depth Estimation and Dehazing Attention Network (2HDED:AttN) with an end-to-end training approach. Comprehensive experiments on synthetic and real underwater datasets showcase the proposed architecture’s superior performance in jointly addressing underwater depth estimation and image dehazing tasks. The method effectively estimates underwater depth and improves underwater image quality, paving the way for enhanced underwater computer and robotic vision applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： robot vision

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A State Feedback Approach based Design of a Robust Yaw Control for Submersible Autonomous robot through Semi-Definite Programming 3

A State Feedback Approach based Design of a Robust Yaw Contr...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Vadapalli, Siddhartha Mahapatra, Subhasish Dargar, Shashi Kant VIT-AP University School of Electronics Engineering Amaravati India Kalasalingam University Electronics and Communication Engineering Srivilliputhur India

ISBN: (纸本)9798350320749

This paper describes the robust optimal control algorithm for a submersible autonomous robot (SAR) to achieve the desired yaiv. Yaw rate of SAR is controlled through the design of robust state feedback optimal control law. Semi-definite programming is considered to develop the proposed robust optimal control algorithm. A linear matrix inequality (LMI) considewred in terms of linear quadratic regulator (LQR) is used to solve the control problem. A polytopic approach based robust optimal control laiv is formulated in a steering plane for SAR. For the implementation of the proposed control algorithm, YALMIP tool is used in Matlab/Simulink environment. The proposed control algorithm ensures the robust behavior by tracking the desired yaw. © 2023 IEEE.

关键词： Linear matrix inequalities

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Parallel Light Source Based Machine vision for Length Measurement of Shaft Part Chamfer 8

Parallel Light Source Based Machine Vision for Length Measur...

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8th international conference on Communication, Image and signal processing, CCISP 2023

作者： Yanting, Chen Yihua, Kang Yanlong, Li Lingshu, Liu Xiang, Cai School of Mechanical Science & Engineering Hua Zhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350305838

Chamfering processing on shaft parts is an essential step for production and assembly. This paper studies the online chamfer length measurement of shaft parts by machine vision, aiming to establish an automatic machining quality ensuring system. The challenge of the measurement is that there is various interference on the cylindrical surface of shaft parts before final processing. If conventional imaging method is utilized, the interference may show visual characteristics similar to chamfer, leading to misjudgment. To solve this issue, we proposed a parallel light source based imaging method, which can illuminate the chamfer surface and suppress the reflected light from other areas. Additionally, a weighted least squares fitting based chamfer width calculation is presented to avoid the influence of iron filings and burrs. In experiments, the advantages of our technology in interference resisting are illustrated through comparison. The abnormal chamfer dimension on several shaft samples is successfully detected. © 2023 IEEE.

关键词： Computer vision

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A defect detection method of leaning pins for multiple electrical components based on machine vision

A defect detection method of leaning pins for multiple elect...

引用

2024 international conference on Image, signal processing, and Pattern Recognition, ISPP 2024

作者： Bian, Feifei Ma, Yue China Electronics Technology Group Corporation 14th Research Institute Nanjing China

ISBN: (纸本)9781510680425

This paper proposes a defect detection method of leaning pins for multiple electrical components based on machine *** to the distribution of the plugs on the electrical component surface, a fixture is firstly designed which allows photograph and detection for multiple electrical components, thus avoids replacement of fixture when replacing the electrical ***, the high-resolution industrial camera and imaging system is used to take photos of the electrical component *** that, the defect detection of leaning pins is realized through the steps of electrical component surface detection, ROI segmentation, pin location extraction and leaning pins *** iterative closest point (ICP) algorithm is introduced for point set registration to detect the leaning pins in which the point set consists of the pins of all plugs on a ***, experiments are carried out on three differential electrical components, and the results show that the proposed method is able to detect the leaning pins automatically. © 2024 SPIE.

关键词： Fixtures (tooling)

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Rethinking Mamba in Speech processing by Self-Supervised Models

Rethinking Mamba in Speech Processing by Self-Supervised Mod...

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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Zhang, Xiangyu Ma, Jianbo Shahin, Mostafa Ahmed, Beena Epps, Julien The University of New South Wales Australia Dolby Laboratories United States

ISBN: (纸本)9798350368741

The Mamba-based model has demonstrated outstanding performance across tasks in computer vision, natural language processing, and speech processing. However, in the realm of speech processing, the Mamba-based model's performance varies across different tasks. For instance, in tasks such as speech enhancement and spectrum reconstruction, the Mamba model performs well when used independently. However, for tasks like speech recognition, additional modules are required to surpass the performance of attention-based models. We propose the hypothesis that the Mamba-based model excels in"reconstruction" tasks within speech processing. However, for"classification tasks" such as Speech Recognition, additional modules are necessary to accomplish the"reconstruction" step. To validate our hypothesis, we analyze the previous Mamba-based Speech Models from an information theory perspective. Furthermore, we leveraged the properties of HuBERT in our study. We trained a Mamba-based HuBERT model, and the mutual information patterns, along with the model's performance metrics, confirmed our assumptions. © 2025 IEEE.

关键词： Mamba Speech processing

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An Assist-as-Needed Variable Admittance Controller for Adaptive Support of Mobile Walking Assistive robots 30

An Assist-as-Needed Variable Admittance Controller for Adapt...

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30th international conference on Mechatronics and Machine vision in Practice, M2VIP 2024

作者： Chen, Xinxing Zheng, Yue Su, Zongming Leng, Yuquan Huang, Jian Fu, Chenglong Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen China Huawei Technologies Technology Planning Department Shenzhen China Key Laboratory for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350391916

Mobile walking assistive robots have been widely used for monitoring patients' gait patterns and providing support to prevent falls. Traditional approaches often separate the operational modes of these robots into human-following and supporting modes, which can lead to discontinuities in assistance and potentially compromise safety. This paper proposes a novel assist-as-needed control strategy that incorporates a Balance Index (BI) to dynamically adjust the robot's support based on the user's balance capability. The BI is calculated using the interaction force between the user and the robot along the z-axis and the gait symmetry index (GSI). The proposed variable admittance controller modifies its parameters based on the BI, ensuring seamless transitions between compliance and support modes. Experimental validation was conducted with a healthy subject walking both with and without a knee fixation brace. The results demonstrate that the robot provides minimal interference during natural gait and increased support during impaired gait, validating the effectiveness of the proposed control strategy in enhancing user safety and promoting natural walking patterns. © 2024 IEEE.

关键词： Assistive technology

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