Deep Learning for Human Activity Recognition

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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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. 

• action recognition
• activity recognition
• artificial intelligence
• computer hardware
• computer systems
• computer vision
• data mining
• gesture recognition
• human activity recognition
• Human-Computer Interaction (HCI)
• image coding
• image processing
• machine learning
• motion estimation
• neural networks
• pattern recognition
• sensors
• ubiquitous computing
• user interfaces

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

  Xiaoli Li, Min Wu, Zhenghua Chen, Le Zhang

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