Hierarchical Belief K Nearest Neighbors For Human Activity Recognition
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Hierarchical Belief K Nearest Neighbors For Human Activity Recognition
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Author : Yilin Dong
language : en
Publisher: Infinite Study
Release Date : 2023-01-01
Hierarchical Belief K Nearest Neighbors For Human Activity Recognition written by Yilin Dong and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
In Wearable Body Sensor Networks (WBSNs), the multi-sensor fusion strategy is widely utilized in Human Activity Recognition (HAR) problems. As the classical decision-level fusion strategy, the Belief Functions (BF) theory often uses a flat structure to fuse the outputs of basic classifiers. However, it is very challenge and difficult to accurately identify confusing activities such as walking upstairs and downstairs based on such flat structure. In this paper, a novel Hierarchical Belief K-Nearest Neighbors approach (Hie-BKNN) for activity recognition is proposed. First, the data-driven hierarchical tree is constructed by using the spectral clustering strategy. Then, inspired by BF theory and classical K-nearest neighbors, the pair-aware belief masses are calculated for each node and the belief hierarchical tree can be generated. Afterwards, we adopt a novel hierarchical fusion strategy to fuse all involved belief hierarchical trees. Finally, by selecting the probability maximization path on the entire tree, the label of a test sample can be effectively predicted. The experimental results show that our proposed Hie-BKNN approach can precisely recognize daily activities of two different UCI public data sets, i.e., Smartphone and WISDM datasets.
Hierarchical Belief K Nearest Neighbors For Human Activity Recognition
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Author : Yilin Dong
language : en
Publisher: Infinite Study
Release Date : 2023-01-01
Hierarchical Belief K Nearest Neighbors For Human Activity Recognition written by Yilin Dong and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Business & Economics categories.
In Wearable Body Sensor Networks (WBSNs), the multi-sensor fusion strategy is widely utilized in Human Activity Recognition (HAR) problems. As the classical decision-level fusion strategy, the Belief Functions (BF) theory often uses a flat structure to fuse the outputs of basic classifiers. However, it is very challenge and difficult to accurately identify confusing activities such as walking upstairs and downstairs based on such flat structure. In this paper, a novel Hierarchical Belief Knearest Neighbors approach (Hie-BKNN) for activity recognition is proposed. First, the data-driven hierarchical tree is constructed by using the spectral clustering strategy. Then, inspired by BF theory and classical K-nearest neighbors, the pair-aware belief masses are calculated for each node and the belief hierarchical tree can be generated. Afterwards, we adopt a novel hierarchical fusion strategy to fuse all involved belief hierarchical trees. Finally, by selecting the probability maximization path on the entire tree, the label of a test sample can be effectively predicted. The experimental results show that our proposed Hie-BKNN approach can precisely recognize daily activities of two different UCI public data sets, i.e., Smartphone and WISDM datasets.
Human Action Recognition With Depth Cameras
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Author : Jiang Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-25
Human Action Recognition With Depth Cameras written by Jiang Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-25 with Computers categories.
Action recognition technology has many real-world applications in human-computer interaction, surveillance, video retrieval, retirement home monitoring, and robotics. The commoditization of depth sensors has also opened up further applications that were not feasible before. This text focuses on feature representation and machine learning algorithms for action recognition from depth sensors. After presenting a comprehensive overview of the state of the art, the authors then provide in-depth descriptions of their recently developed feature representations and machine learning techniques, including lower-level depth and skeleton features, higher-level representations to model the temporal structure and human-object interactions, and feature selection techniques for occlusion handling. This work enables the reader to quickly familiarize themselves with the latest research, and to gain a deeper understanding of recently developed techniques. It will be of great use for both researchers and practitioners.
Social Robotics
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Author : Guido Herrmann
language : en
Publisher: Springer
Release Date : 2013-10-23
Social Robotics written by Guido Herrmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-23 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Conference on Social Robotics, ICSR 2013, held in Bristol, UK, in October 2013. The 55 revised full papers and 13 abstracts were carefully reviewed and selected from 108 submissions and are presented together with one invited paper. The papers cover topics such as human-robot interaction, child development and care for the elderly, as well as technical issues underlying social robotics: visual attention and processing, motor control and learning.
Intelligent Scene Modeling And Human Computer Interaction
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Author : Nadia Magnenat Thalmann
language : en
Publisher: Springer Nature
Release Date : 2021-06-08
Intelligent Scene Modeling And Human Computer Interaction written by Nadia Magnenat Thalmann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Computers categories.
This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes: · Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors · Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition · How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces · Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications. Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.
Intelligent Information And Database Systems
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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2017-03-23
Intelligent Information And Database Systems written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-23 with Computers categories.
The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.
Advances In Computational Intelligence Systems
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Author : Thomas Jansen
language : en
Publisher: Springer Nature
Release Date : 2021-11-17
Advances In Computational Intelligence Systems written by Thomas Jansen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Technology & Engineering categories.
This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.
Neural Computation In Embodied Closed Loop Systems For The Generation Of Complex Behavior From Biology To Technology
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Author : Poramate Manoonpong
language : en
Publisher: Frontiers Media SA
Release Date : 2018-10-11
Neural Computation In Embodied Closed Loop Systems For The Generation Of Complex Behavior From Biology To Technology written by Poramate Manoonpong and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-11 with categories.
How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.
Pattern Recognition
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Author : Shivakumara Palaiahnakote
language : en
Publisher: Springer Nature
Release Date : 2020-02-22
Pattern Recognition written by Shivakumara Palaiahnakote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-22 with Computers categories.
This two-volume set constitutes the proceedings of the 5th Asian Conference on ACPR 2019, held in Auckland, New Zealand, in November 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: classification; action and video and motion; object detection and anomaly detection; segmentation, grouping and shape; face and body and biometrics; adversarial learning and networks; computational photography; learning theory and optimization; applications, medical and robotics; computer vision and robot vision; pattern recognition and machine learning; multi-media and signal processing and interaction.
Computer Vision Eccv 2014 Workshops
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Author : Lourdes Agapito
language : en
Publisher: Springer
Release Date : 2015-03-19
Computer Vision Eccv 2014 Workshops written by Lourdes Agapito and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-19 with Computers categories.
The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included.