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GelForce: A traction field tactile sensor for rich human-computer interaction

GelForce: A traction field tactile sensor for rich human-com...

引用

2004 1st IEEE Technical Exhibition Based conference on robotics and Automation, TExCRA 2004

作者： Vlack, Kevin Kajimoto, Hiroyuki Kamiyama, Kazuto Kawakami, Naoki Mizota, Terukazu Tachi, Susumu University of Tokyo CASTI

ISBN: (纸本)0780385640

Recent advances in vision-based tactile sensation have given rise to a novel class of high-performance sensing devices that measure traction fields (i.e. distributions of 3-D force vectors) with density comparable to the biological sense of touch. While this has been an emerging trend in robotics, it introduces diverse new possibilities for human-computer interaction as well. We describe how to apply computer vision techniques to measure the traction field applied to the surface of a silicone body, and discuss the potential of using the computed vector distribution as a rich and versatile interface for interactive desktop applications. © 2004 IEEE.

关键词： Haptic interfaces

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A Critical Analysis of computer Aided Approaches for Skin Cancer Screening 1

A Critical Analysis of Computer Aided Approaches for Skin Ca...

引用

1st International conference on Image Processing and robotics (ICIP)

作者： Selvarasa, Minoj Aponso, Achala Informat Inst Technol Colombo 6 Sri Lanka

ISBN: (纸本)9781728165417

Skin Cancer is life-threatening when diagnosed at a later stage. Early detection of skin cancers such as melanoma indicates a higher survival rate for the patient. Non-computer aided tools were used in the past such as the visual inspection using tools like the dermoscopy. Commercial tools were later introduced that allowed the examiners to examine the images obtained from the dermoscopy using techniques such as the ABCD rule and 7-point checklist. Deep Learning has proven to be the state-of-the-art for computer vision problems such as image classification. A lot of research has been carried out in the application of deep learning for automating skin cancer screening. This paper presents an analysis of the existing work carried out in the area of automatic skin cancer screening and the different steps involved in building a skin cancer classification tool for skin cancer screening. The limitations of the various existing approaches are explored, and the results of the analysis will be used as part of an ongoing research to design and develop a robust system that will address the identified cons.

关键词： Skin Cancer Screening computer vision Deep Learning Augmentation Segmentation CNN

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Precise high speed multi-target multi-sensor local positioning system

Precise high speed multi-target multi-sensor local positioni...

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canadian conference on computer and robot vision

作者： Eichel, Justin A. Clausi, David A. Fieguth, Paul Vision and Image Processing Lab. University of Waterloo Waterloo Canada

ISBN: (纸本)9780769543628

When used for tracking, the combination of infrared (IR) and an internal measurement unit (IMU) allows researchers and industry to locate objects to within 1 cm at over 200 Hz with a latency less than 2 ms. This novel tracking system uses multiple cameras to triangulate an IR LED placed on the object and utilizes IMU data to measure the object's orientation and allow the system to be robust against visual occlusions. The cost-effective IR system is robust against illumination allowing the object to be tracked at over 50 feet from the camera positions. This distance is expected to increase with additional development. This paper describes the preliminary algorithms that utilize the information from both the IR and IMU systems in order to precisely track an object. The algorithms are tested against simulated data generated from profiling the hardware and real data collected from a system prototype. © 2011 IEEE.

关键词： Cost effectiveness

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1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

1st International Symposium on Artificial Life and Intellige...

引用

1st International Symposium on Artificial Life and Intelligent Agents, ALIA 2014

ISBN: (纸本)9783319180830

The proceedings contain 13 papers. The special focus in this conference is on Learning, Evolution and Human Interaction. The topics include: Towards real-time behavioral evolution in video games;simulated road following using neuroevolution;enhancing active vision system categorization capability through uniform local binary patterns;learning in networked interactions;human robot-team interaction;an exploration on intuitive interfaces for robot control based on self organisation;adaptive training for aggression de-escalation;mobile GPGPU acceleration of embodied robot simulation;ashby’s mobile homeostat and multi-robot coverage.

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The First vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation 18

The First Vision For Vitals (V4V) Challenge for Non-Contact ...

引用

IEEE/CVF International conference on computer vision (ICCVW)

作者： Revanur, Ambareesh Li, Zhihua Ciftci, Umur A. Yin, Lijun Jeni, Laszlo A. Carnegie Mellon Univ Robot Inst Pittsburgh PA 15213 USA SUNY Binghamton Dept Comp Sci Binghamton NY 13902 USA

ISBN: (纸本)9781665401913

Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the microvascular tissue from video - would be well suited for these situations. Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous behavior, facial expressions, and illumination changes are present, is relatively unknown. To enable comparisons among alternative methods, the 1st vision for Vitals Challenge (V4V) presented a novel dataset containing high-resolution videos time-locked with varied physiological signals from a diverse population. In this paper, we outline the evaluation protocol, the data used, and the results. V4V is to be held in conjunction with the 2021 International conference on computer vision(1).

关键词： Measurement computer vision Protocols Sociology Estimation Benchmark testing Photoplethysmography

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Towards a Wearable Interface for Immersive Telepresence in robotics 5th

Towards a Wearable Interface for Immersive Telepresence in R...

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5th International conference on Arts and Technology, Interactivity and Game Creation (ArtsIT) / 1st International conference on Design, Learning and Innovation (DLI)

作者： Martinez-Hernandez, Uriel Szollosy, Michael Boorman, Luke W. Kerdegari, Hamideh Prescott, Tony J. Univ Leeds Inst Design Robot & Optimisat Leeds W Yorkshire England Univ Sheffield Sheffield Robot Lab Sheffield S Yorkshire England

ISBN: (纸本)9783319769080;9783319769073

In this paper we present an architecture for the study of telepresence, immersion and human-robot interaction. The architecture is built around a wearable interface that provides the human user with visual, audio and tactile feedback from a remote location. We have chosen to interface the system with the iCub humanoid robot, as it mimics many human sensory modalities, including vision (with gaze control) and tactile feedback, which offers a richly immersive experience for the human user. Our wearable interface allows human participants to observe and explore a remote location, while also being able to communicate verbally with others located in the remote environment. Our approach has been tested from a variety of distances, including university and business premises, and using wired, wireless and Internet based connections, using data compression to maintain the quality of the experience for the user. Initial testing has shown the wearable interface to be a robust system of immersive teleoperation, with a myriad of potential applications, particularly in social networking, gaming and entertainment.

关键词： Telepresence Immersion Wearable computing Human-robot interaction Virtual reality

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Proceedings of 2021 1st International conference on computer Science and Artificial Intelligence, ICCSAI 2021

Proceedings of 2021 1st International Conference on Computer...

引用

1st International conference on computer Science and Artificial Intelligence, ICCSAI 2021

ISBN: (纸本)9781728133331

The proceedings contain 81 papers. The topics discussed include: adaptive central pattern generators to control human/robot interactions;modelling personality prediction from user's posting on social media;web based application for ordering food raw materials;comparison of Gaussian hidden Markov model and convolutional neural network in sign language recognition system;intelligent computational model for early heart disease prediction using logistic regression and stochastic gradient descent (a preliminary study);an efficient system to collect data for ai training on multi-category object counting task;a comparison of artificial intelligence-based methods in traffic prediction;impact of computer vision with deep learning approach in medical imaging diagnosis;and development of portable temperature and air quality detector for preventing COVID-19.

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Visual Search and Recognition for robot Task Execution and Monitoring 1

Visual Search and Recognition for Robot Task Execution and M...

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1st International conference on Applications of Intelligent Systems (APPIS)

作者： Mauro, Lorenzo Puja, Francesco Grazioso, Simone Ntouskos, Valsamis Sanzari, Marta Alati, Edoardo Freda, Luigi Pirri, Fiora Sapienza Univ Rome ALCOR Lab DIAG Rome Italy

ISBN: (纸本)9781614999294;9781614999287

Visual search of relevant targets in the environment is a crucial robot skill. We propose a preliminary framework for the execution monitor of a robot task, taking care of the robot attitude to visually searching the environment for targets involved in the task. Visual search is also relevant to recover from a failure. The framework exploits deep reinforcement learning to acquire a common sense scene structure and it takes advantage of a deep convolutional network to detect objects and relevant relations holding between them. The framework builds on these methods to introduce a vision-based execution monitoring, which uses classical planning as a backbone for task execution. Experiments show that with the proposed vision-based execution monitor the robot can complete simple tasks and can recover from failures in autonomy.

关键词： Artificial Intelligence computer vision and Pattern Recognition robotics

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Model of Human Visual Cortex Inspired Computational Models for Visual Recognition 1

Model of Human Visual Cortex Inspired Computational Models f...

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IEEE First International conference on Multimedia Big Data

作者： Wang, Jinjun Hou, Qiqi Liu, Nan Zhang, Shizhou Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot 28 West Xianning Rd Xian 710049 Shaanxi Peoples R China

ISBN: (纸本)9781479986880

In this paper, we are mostly interested in investigating how the study and discovery of the human visual cortex could be utilised to improve the computational models for visual recognition by computer vision. Many of the brain perceptual abilities in vision have corresponding algorithms exist in computer vision, and in this paper we discuss three such models. First we present a model that has the ability for iterative bottom-up/top-down recognition, and experimental results on applying the model for facial landmark detection has shown improved accuracy over benchmark approaches. Second we introduce a new SOM model that could be deep and invariant, which could achieve significantly improved digit recognition accuracy over traditional SOM. And third we show how the convolutional neural network could be combined with linear coding based architecture, where experimental results show that the proposed model could outperform many existing algorithms for image classification.

关键词： computer vision

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Spatial-and-temporal-weighted structure from motion

Spatial-and-temporal-weighted structure from motion

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canadian conference on computer and robot vision

作者： Wang, Guanghui Zelek, John S. Wu, Q.M. Jonathan Department of Systems Design Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769543628

The paper focuses on the problem of structure from motion and proposes a spatial-and-temporal-weighted factorization algorithm. The contributions of the paper are as follows: First, it is demonstrated that the image reprojection error is generally in proportion to the error magnitude contained in the image. Second, the error distribution contained in the measurement matrix is modelled spatially and temporally from the image reprojection residuals. Third, based on the estimated error distribution, a spatial-and-temporal-weighted factorization algorithm is proposed to handle the uncertainty caused by significant image noises. Compared with existing approaches, the proposed technique does not require a prior information of image measurement, and it is easy to implement. Extensive experiments on synthetic data and real images are performed to validate the proposed method. © 2011 IEEE.

关键词： Factorization

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