Intent Recognition For Human Machine Interactions PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Intent Recognition For Human Machine Interactions PDF full book. Access full book title Intent Recognition For Human Machine Interactions.
Author | : Hua Xu |
Publisher | : Springer Nature |
Total Pages | : 162 |
Release | : 2023-08-29 |
Genre | : Computers |
ISBN | : 9819938856 |
Download Intent Recognition for Human-Machine Interactions Book in PDF, ePub and Kindle
Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.
Author | : Gita Sukthankar |
Publisher | : Newnes |
Total Pages | : 423 |
Release | : 2014-03-03 |
Genre | : Computers |
ISBN | : 012401710X |
Download Plan, Activity, and Intent Recognition Book in PDF, ePub and Kindle
Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: personal agent assistants computer and network security opponent modeling in games and simulation systems coordination in robots and software agents web e-commerce and collaborative filtering dialog modeling video surveillance smart homes In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas. Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars Explains how to interpret and recognize plans and activities from sensor data Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines
Author | : Randall Shumaker |
Publisher | : Springer |
Total Pages | : 432 |
Release | : 2014-08-04 |
Genre | : Computers |
ISBN | : 9783319074573 |
Download Virtual, Augmented and Mixed Reality: Designing and Developing Augmented and Virtual Environments Book in PDF, ePub and Kindle
The two-volume set LNCS 8525-8526 constitutes the refereed proceedings of the 6th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2014, held as part of the 16th International Conference on Human-Computer Interaction, HCI 2014, in Heraklion, Crete, Greece, in June 2014, jointly with 13 other thematically similar conferences. The total of 1476 papers and 220 posters presented at the HCII 2014 conferences were carefully reviewed and selected from 4766 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 82 contributions included in the VAMR proceedings were carefully reviewed and selected for inclusion in this two-volume set. The 39 papers included in this volume are organized in the following topical sections: interaction devices, displays and techniques in VAMR; designing virtual and augmented environments; avatars and virtual characters; developing virtual and augmented environments.
Author | : James Philip Rossiter |
Publisher | : |
Total Pages | : 227 |
Release | : 2011 |
Genre | : |
ISBN | : |
Download Multimodal Intent Recognition for Natural Human-robotic Interaction Book in PDF, ePub and Kindle
Author | : Ingemar J. Cox |
Publisher | : Springer Science & Business Media |
Total Pages | : 478 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461389976 |
Download Autonomous Robot Vehicles Book in PDF, ePub and Kindle
Autonomous robot vehicles are vehicles capable of intelligent motion and action without requiring either a guide or teleoperator control. The recent surge of interest in this subject will grow even grow further as their potential applications increase. Autonomous vehicles are currently being studied for use as reconnaissance/exploratory vehicles for planetary exploration, undersea, land and air environments, remote repair and maintenance, material handling systems for offices and factories, and even intelligent wheelchairs for the disabled. This reference is the first to deal directly with the unique and fundamental problems and recent progress associated with autonomous vehicles. The editors have assembled and combined significant material from a multitude of sources, and, in effect, now conviniently provide a coherent organization to a previously scattered and ill-defined field.
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 401 |
Release | : 2019-07-26 |
Genre | : Social Science |
ISBN | : 0309487617 |
Download A Decadal Survey of the Social and Behavioral Sciences Book in PDF, ePub and Kindle
The primary function of the intelligence analyst is to make sense of information about the world, but the way analysts do that work will look profoundly different a decade from now. Technological changes will bring both new advances in conducting analysis and new risks related to technologically based activities and communications around the world. Because these changes are virtually inevitable, the Intelligence Community will need to make sustained collaboration with researchers in the social and behavioral sciences (SBS) a key priority if it is to adapt to these changes in the most productive ways. A Decadal Survey Of The Social and Behavioral Sciences provides guidance for a 10-year research agenda. This report identifies key opportunities in SBS research for strengthening intelligence analysis and offers ideas for integrating the knowledge and perspectives of researchers from these fields into the planning and design of efforts to support intelligence analysis.
Author | : Yang Xing |
Publisher | : Elsevier |
Total Pages | : 260 |
Release | : 2020-03-15 |
Genre | : Technology & Engineering |
ISBN | : 0128191147 |
Download Advanced Driver Intention Inference Book in PDF, ePub and Kindle
Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. Features examples of using machine learning/deep learning to build industry products Depicts future trends for driver behavior detection and driver intention inference Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS
Author | : Xiaoyu Wang |
Publisher | : |
Total Pages | : 178 |
Release | : 2021 |
Genre | : |
ISBN | : |
Download Eye Gaze-based Approaches to Recognize Human Intent for Shared Autonomy Control of Robot Manipulators Book in PDF, ePub and Kindle
Robots capable of robust, real-time recognition of human intent during manipulationtasks could be used to enhance human-robot collaboration for innumerable applications. Eye gaze-based control interfaces offer a non-invasive way to infer intent and reduce the cognitive burden on operators of complex robots. Eye gaze is traditionally used for "gaze triggering" (GT) in which staring at an object, or sequence of objects, triggers pre-programmed robotic movements. Our long-term objective is to leverage eye gaze as an intuitive way to infer human intent, advance action recognition for shared autonomy control, and enable seamless human-robot collaboration not yet possible with state-of-the-art gaze-based methods. In Study #1, we identified features from 3D gaze behavior for use by machine learning classifiers of action recognition. We investigated gaze behavior and gaze-object interactions as participants performed the bimanual activity of preparing a powdered drink. We generated 3D gaze saliency maps and used characteristic gaze object sequences to demonstrate an action recognition algorithm. In Study #2, we introduced a classifier for recognizing action primitives, which we defined as triplets having a verb, "target object," and "hand object." Using novel 3D gaze-related features, a recurrent neural network was trained to recognize a verb and target object. The gaze object angle and its rate of change enabled accurate recognition and a reduction in the observational latency of the classifier. Using a non-specific approach to indexing objects, we demonstrated modest generalizability of the classifier across activities. In Study #3, we introduced a neural network-based "action prediction" (AP) mode into a shared autonomy framework capable of 3D gaze reconstruction, real-time intent recognition, object localization, obstacle avoidance, and dynamic trajectory planning. Upon extracting gaze-related features, the AP model recognized, and often predicted, the operator's intended action primitives. The AP control mode often preferred over a state-of-the-art GT mode, enabled more seamless human-robot collaboration. In summary, we developed machine learning-based action recognition methods using novel 3D gaze-related features to enhance the shared autonomy control of robot manipulators. Our methods can serve as a foundation for further enhancement with complementary sensory feedback such as computer vision and tactile sensing.
Author | : Michael A. Goodrich |
Publisher | : Now Publishers Inc |
Total Pages | : 89 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 1601980922 |
Download Human-robot Interaction Book in PDF, ePub and Kindle
Presents a unified treatment of HRI-related issues, identifies key themes, and discusses challenge problems that are likely to shape the field in the near future. The survey includes research results from a cross section of the universities, government efforts, industry labs, and countries that contribute to HRI.
Author | : Richard Charles Kelley |
Publisher | : |
Total Pages | : 226 |
Release | : 2013 |
Genre | : Electronic books |
ISBN | : |
Download Models of Intention for Human-robot Interaction Book in PDF, ePub and Kindle
As demand for robots grows in non-industrial settings, there is a corresponding need to develop systems that engage with humans on a social level. A key component of this social interaction is the process of inferring humans' intentions from their observed behavior. In this dissertation, we define the "intent recognition problem" in robotics, describing what it is and why it matters. We then describe a series of systems that we have designed and deployed on several physical robot platforms. This includes a system based on hidden Markov models, a system that incorporates contextual information from such sources as a parse of the simplified English Wikipedia, and systems based on Hewitt's actor model. For each system, we describe its design and evaluate its performance in simulation or on one of several physical platforms, including wheeled mobile robots and humanoids. As a result of our evaluations, we describe several features required for the successful operation of an intent recognition system. In particular, we demonstrate through multiple systems the importance of modeling social contextual information in order to interpret and predict human actions in unstructured environments. We also offer guidance on important challenges that remain to be solved as roboticists attempt to build more socially capable systems.