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Contactless Human Activity Analysis

  • Book
  • © 2021

Overview

Editors:
  1. Md Atiqur Rahman Ahad

    1. Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh

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  2. Upal Mahbub

    1. Multimedia R&D and Standards, Qualcomm Technologies Inc., San Diego, USA

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  3. Tauhidur Rahman

    1. College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA

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  • Covers the challenges and opportunities of the emerging field of contactless sensing
  • Provides a comprehensive overview of the past and recent research works associated with different contactless sensors focusing on human activity analysis including recent techniques from the areas of artificial intelligence, deep learning, and Human–Computer Interaction
  • Presents advanced application areas and futuristic research topics such as contactless activity analysis in health care, activity recognition on smart mobile devices, and driver and pedestrian behavior analysis for autonomous driving

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 200)

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About this book

This book is a truly comprehensive, timely, and very much needed treatise on the conceptualization of analysis, and design of contactless & multimodal sensor-based human activities, behavior understanding & intervention. From an interaction design perspective, the book provides views and methods that allow for more safe, trustworthy, efficient, and more natural interaction with technology that will be embedded in our daily living environments. The chapters in this book cover sufficient grounds and depth in related challenges and advances in sensing, signal processing, computer vision, and mathematical modeling. It covers multi-domain applications, including surveillance and elderly care that will be an asset to entry-level and practicing engineers and scientists.(See inside for the reviews from top experts)  

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xx
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  2. Vision-Based Human Activity Recognition

    • Tahmida Mahmud, Mahmudul Hasan
    Pages 1-42

  3. Skeleton-Based Activity Recognition: Preprocessing and Approaches

    • Sujan Sarker, Sejuti Rahman, Tonmoy Hossain, Syeda Faiza Ahmed, Lafifa Jamal, Md Atiqur Rahman Ahad
    Pages 43-81

  4. Contactless Human Activity Analysis: An Overview of Different Modalities

    • Farhan Fuad Abir, Md. Ahasan Atick Faisal, Omar Shahid, Mosabber Uddin Ahmed
    Pages 83-112

  5. Signal Processing for Contactless Monitoring

    • Mohammad Saad Billah, Md Atiqur Rahman Ahad, Upal Mahbub
    Pages 113-144

  6. Fresnel Zone Based Theories for Contactless Sensing

    • Daqing Zhang, Fusang Zhang, Dan Wu, Jie Xiong, Kai Niu
    Pages 145-164

  7. Computational Imaging for Human Activity Analysis

    • Suren Jayasuriya
    Pages 165-184

  8. Location Independent Vital Sign Monitoring and Gesture Recognition Using Wi-Fi

    • Daqing Zhang, Kai Niu, Jie Xiong, Fusang Zhang, Shengjie Li
    Pages 185-202

  9. Contactless Fall Detection for the Elderly

    • M. Jaber Al Nahian, Mehedi Hasan Raju, Zarin Tasnim, Mufti Mahmud, Md Atiqur Rahman Ahad, M Shamim Kaiser
    Pages 203-235

  10. Contactless Human Emotion Analysis Across Different Modalities

    • Nazmun Nahid, Arafat Rahman, Md Atiqur Rahman Ahad
    Pages 237-269

  11. Activity Recognition for Assisting People with Dementia

    • Muhammad Fikry, Defry Hamdhana, Paula Lago, Sozo Inoue
    Pages 271-292

  12. Making Tangible the Intangible Gestures of Craft

    • Patricia J. Flanagan
    Pages 293-333

  13. Contactless Human Monitoring: Challenges and Future Direction

    • Upal Mahbub, Tauhidur Rahman, Md Atiqur Rahman Ahad
    Pages 335-364
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Editors and Affiliations

  • Department of Electrical and Electronic Engineering, University of Dhaka, Dhaka, Bangladesh

    Md Atiqur Rahman Ahad

  • Multimedia R&D and Standards, Qualcomm Technologies Inc., San Diego, USA

    Upal Mahbub

  • College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA

    Tauhidur Rahman

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