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Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings

  • Conference proceedings
  • © 2022

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Editors:
  1. Masood Ur Rehman

    1. University of Glasgow, Glasgow, UK

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  2. Ahmed Zoha

    1. University of Glasgow, Glasgow, UK

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Included in the following conference series:

Conference proceedings info: BODYNETS 2021.

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About this book

This book constitutes the refereed post-conference proceedings of the 16th International Conference on Body Area Networks, BodyNets 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic.
The 21 papers presented were selected from 44 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective.

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Table of contents (23 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Human Activity Recognition

    1. Front Matter

      Pages 1-1
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    2. Data Fusion for Human Activity Recognition Based on RF Sensing and IMU Sensor

      • Zheqi Yu, Adnan Zahid, William Taylor, Hasan Abbas, Hadi Heidari, Muhammad A. Imran et al.
      Pages 3-14

    3. Indoor Activity Position and Direction Detection Using Software Defined Radios

      • Ahmad Taha, Yao Ge, William Taylor, Ahmed Zoha, Khaled Assaleh, Kamran Arshad et al.
      Pages 15-27

    4. Monitoring Discrete Activities of Daily Living of Young and Older Adults Using 5.8 GHz Frequency Modulated Continuous Wave Radar and ResNet Algorithm

      • Umer Saeed, Fehaid Alqahtani, Fatmah Baothman, Syed Yaseen Shah, Syed Ikram Shah, Syed Salman Badshah et al.
      Pages 28-38

    5. Elderly Care - Human Activity Recognition Using Radar with an Open Dataset and Hybrid Maps

      • Xinyu Zhang, Qammer H. Abbasi, Francesco Fioranelli, Olivier Romain, Julien Le Kernec
      Pages 39-51

    6. Wireless Sensing for Human Activity Recognition Using USRP

      • William Taylor, Syed Aziz Shah, Kia Dashtipour, Julien Le Kernec, Qammer H. Abbasi, Khaled Assaleh et al.
      Pages 52-62

    7. Real-Time People Counting Using IR-UWB Radar

      • Kareeb Hasan, Malikeh Pour Ebrahim, Mehmet Rasit Yuce
      Pages 63-70

    8. Bespoke Simulator for Human Activity Classification with Bistatic Radar

      • Kai Yang, Qammer H. Abbasi, Francesco Fioranelli, Olivier Romain, Julien Le Kernec
      Pages 71-85

  3. Sensing for Healthcare

    1. Front Matter

      Pages 87-87
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    2. Detecting Alzheimer’s Disease Using Machine Learning Methods

      • Kia Dashtipour, William Taylor, Shuja Ansari, Adnan Zahid, Mandar Gogate, Jawad Ahmad et al.
      Pages 89-100

    3. FPGA-Based Realtime Detection of Freezing of Gait of Parkinson Patients

      • Patrick Langer, Ali Haddadi Esfahani, Zoya Dyka, Peter Langendörfer
      Pages 101-111

    4. Received WiFi Signal Strength Monitoring for Contactless Body Temperature Classification

      • Vincent Ha, Ani Nahapetian
      Pages 112-125

    5. A Preliminary Study of RF Propagation for High Data Rate Brain Telemetry

      • Mariella Särestöniemi, Carlos Pomalaza-Raez, Kamran Sayrafian, Teemu Myllylä, Jari Iinatti
      Pages 126-138

    6. Anomalous Pattern Recognition in Vital Health Signals via Multimodal Fusion

      • Soumyadeep Bhattacharjee, Huining Li, Wenyao Xu
      Pages 139-157

    7. Real-Time Visual Respiration Tracking with Radar Sensors

      • Shaozhang Dai, Weiqiao Han, Malikeh P. Ebrahim, Mehmet R. Yuce
      Pages 158-167

    8. Body-Area Sensing in Maternity Care: Evaluation of Commercial Wristbands for Pre-birth Stress Management

      • Anna Nordin, Karin Ängeby, Lothar Fritsch
      Pages 168-175

    9. Home-Based Pulmonary Rehabilitation of COPD Individuals Using the Wearable Respeck Monitor

      • D. K. Arvind, T. Georgescu, C. A. Bates, D. Fischer, Q. Zhou
      Pages 176-191

  4. Data Analytics for Healthcare Systems

    1. Front Matter

      Pages 193-193
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    2. SVM Time Series Classification of Selected Gait Abnormalities

      • Jakob Rostovski, Andrei Krivošei, Alar Kuusik, Ulvi Ahmadov, Muhammad Mahtab Alam
      Pages 195-209
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Other volumes

  1. Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

Editors and Affiliations

  • University of Glasgow, Glasgow, UK

    Masood Ur Rehman, Ahmed Zoha

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