Computing, a Human Activity

Computing, a Human Activity
Author: Peter Naur
Publisher: Addison-Wesley Longman
Total Pages: 664
Release: 1992
Genre: Computers
ISBN:

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In this comprehensive anthology Peter Naur, one of the world's foremost computer scientists, presents his selected writings from 1951 to 1990. The book features Naur's original and stimulating reflections on the nature of computing, with perceptive analyses of many issues that remain controversial. Comprising the author's published and unpublished writings on scientific, technical, philosophical, and social aspects of computing, the volume highlights his view of computing as, essentially, a human activity.

Human Activity Recognition and Prediction

Human Activity Recognition and Prediction
Author: Yun Fu
Publisher: Springer
Total Pages: 179
Release: 2015-12-23
Genre: Technology & Engineering
ISBN: 3319270044

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This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.

Cognitive Computing for Human-Robot Interaction

Cognitive Computing for Human-Robot Interaction
Author: Mamta Mittal
Publisher: Academic Press
Total Pages: 420
Release: 2021-08-13
Genre: Computers
ISBN: 0323856470

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Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Research Methods in Human-Computer Interaction

Research Methods in Human-Computer Interaction
Author: Jonathan Lazar
Publisher: Morgan Kaufmann
Total Pages: 562
Release: 2017-04-28
Genre: Computers
ISBN: 0128093439

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Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers

Activity and Behavior Computing

Activity and Behavior Computing
Author: Md Atiqur Rahman Ahad
Publisher: Springer Nature
Total Pages: 315
Release: 2020-12-23
Genre: Technology & Engineering
ISBN: 9811589445

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Focusing on the vision-based and sensor-based recognition and analysis of human activity and behavior, this book gathers extended versions of selected papers presented at the International Conference on Activity and Behavior Computing (ABC 2020), held in Kitakyushu, Japan on August 26 – 29, 2020. The respective chapters cover action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition in both the sensor-based and vision-based domains, making it a unique guide to the field.

Human Activity Recognition Challenge

Human Activity Recognition Challenge
Author: Md Atiqur Rahman Ahad
Publisher: Springer Nature
Total Pages: 126
Release: 2020-11-20
Genre: Technology & Engineering
ISBN: 9811582696

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The book introduces some challenging methods and solutions to solve the human activity recognition challenge. This book highlights the challenge that will lead the researchers in academia and industry to move further related to human activity recognition and behavior analysis, concentrating on cooking challenge. Current activity recognition systems focus on recognizing either the complex label (macro-activity) or the small steps (micro-activities) but their combined recognition is critical for analysis like the challenge proposed in this book. It has 10 chapters from 13 institutes and 8 countries (Japan, USA, Switzerland, France, Slovenia, China, Bangladesh, and Columbia).

NEUTROSOPHIC CONCEPT LATTICE BASED APPROACH FOR COMPUTING HUMAN ACTIVITIES FROM CONTEXTS

NEUTROSOPHIC CONCEPT LATTICE BASED APPROACH FOR COMPUTING HUMAN ACTIVITIES FROM CONTEXTS
Author: Sangeeta Mittal
Publisher: Infinite Study
Total Pages: 30
Release:
Genre: Mathematics
ISBN:

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Complex human activity recognition suffers from ambiguity of interpretation problem. A novel neutrosophic formal concept analysis method has been proposed to quantify non-determinism leading to ambiguity of interpretation and utilize it in activity recognition. The method works by penalizing performance of non-deterministic activities and rewarding the deterministic ones. Thus, non- deterministic activities are identified during testing due to significantly reduced performance and contexts can be redesigned to improve their description. The proposed method has been implemented on benchmark dataset having both types of activities. Our approach successfully identified nondeterminism in activities description without compromising recognition performance of deterministic activities. It has also been shown that other approaches fail to identify non deterministic activities. Overall accuracy of activity recognition of our approach was comparable to other approaches.

IoT Sensor-Based Activity Recognition

IoT Sensor-Based Activity Recognition
Author: Md Atiqur Rahman Ahad
Publisher: Springer Nature
Total Pages: 214
Release: 2020-07-30
Genre: Computers
ISBN: 3030513793

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This book offer clear descriptions of the basic structure for the recognition and classification of human activities using different types of sensor module and smart devices in e.g. healthcare, education, monitoring the elderly, daily human behavior, and fitness monitoring. In addition, the complexities, challenges, and design issues involved in data collection, processing, and other fundamental stages along with datasets, methods, etc., are discussed in detail. The book offers a valuable resource for readers in the fields of pattern recognition, human–computer interaction, and the Internet of Things.

Human Activity and Behavior Analysis: Advances in computer vision and sensors

Human Activity and Behavior Analysis: Advances in computer vision and sensors
Author: Md. Atiqur Rahman Ahad
Publisher:
Total Pages: 0
Release: 2023-11
Genre: Computer vision
ISBN: 9781003371540

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"Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects. The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. This volume focuses on two main subject areas: Movement and Sensors, and Sports Activity Analysis. The editors are experts in these arenas and the contributing authors are drawn from high-impact research groups around the world. This book will be of great interest to academics, students, and professionals working and researching in the field of human activity and behavior analysis"--