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Deep Learning for Human Activity Recognition

Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Xiaoli Li

    1. Institute for Infocomm Research, A*STAR, Singapore, Singapore

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  2. Min Wu

    1. Institute for Infocomm Research, A*STAR, Singapore, Singapore

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  3. Zhenghua Chen

    1. Institute for Infocomm Research, A*STAR, Singapore, Singapore

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  4. Le Zhang

    1. Institute for Infocomm Research, A*STAR, Singapore, Singapore

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1370)

Included in the following conference series:

Conference proceedings info: DL-HAR 2021.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-xii
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  2. Human Activity Recognition Using Wearable Sensors: Review, Challenges, Evaluation Benchmark

    • Reem Abdel-Salam, Rana Mostafa, Mayada Hadhood
    Pages 1-15

  3. Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks

    • Takumi Watanabe, Hiroki Takahashi, Goh Sato, Yusuke Iwasawa, Yutaka Matsuo, Ikuko Eguchi Yairi
    Pages 16-29

  4. Toward Data Augmentation and Interpretation in Sensor-Based Fine-Grained Hand Activity Recognition

    • Jinqi Luo, Xiang Li, Rabih Younes
    Pages 30-42

  5. Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics

    • Huy Thong Nguyen, Hyeokhyen Kwon, Harish Haresamudram, Andrew F. Peterson, Thomas Plötz
    Pages 43-56

  6. Resource-Constrained Federated Learning with Heterogeneous Labels and Models for Human Activity Recognition

    • Gautham Krishna Gudur, Satheesh Kumar Perepu
    Pages 57-69

  7. ARID: A New Dataset for Recognizing Action in the Dark

    • Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
    Pages 70-84

  8. Single Run Action Detector over Video Stream - A Privacy Preserving Approach

    • Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O’Connell, Hamed Tabkhi
    Pages 85-98

  9. Efficacy of Model Fine-Tuning for Personalized Dynamic Gesture Recognition

    • Junyao Guo, Unmesh Kurup, Mohak Shah
    Pages 99-110

  10. Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes

    • Damien Bouchabou, Sao Mai Nguyen, Christophe Lohr, Benoit LeDuc, Ioannis Kanellos
    Pages 111-125

  11. Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network

    • Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi
    Pages 126-138

  12. Back Matter

    Pages 139-139
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Other volumes

  1. Deep Learning for Human Activity Recognition

Keywords

About this book

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR 2020, held in conjunction with IJCAI-PRICAI 2020, in Kyoto, Japan, in January 2021. Due to the COVID-19 pandemic the workshop was postponed to the year 2021 and held in a virtual format. 

The 10 presented papers were thorougly reviewed and included in the volume. They present recent research on applications of human activity recognition for various areas such as healthcare services, smart home applications, and more. 

Editors and Affiliations

  • Institute for Infocomm Research, A*STAR, Singapore, Singapore

    Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang

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