Conference Paper2021Cited by 3

Hierarchical self attention based autoencoder for open-set human activity recognition

M Tanjid Hasan Tonmoy, Saif Mahmud, AKM Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Springer International Publishing, pp. 351–363, ISBN: 9783030757670

DOI: 10.1007/978-3-030-75768-7_28Open AccessURL

Keywords

  • wearable sensors
  • open-set recognition
  • human activity recognition
  • self-attention
  • sensor noise robustness
  • attention maps
  • spatiotemporal dependencies
  • subject variability

CCDS Authors

Saif Mahmud
Saif Mahmud

Saif Mahmud

  • Alumni, CCDS

  • PhD Student

    Cornell University, USA

  • BSc

    University of Dhaka, Bangladesh

Published at

PAKDD

AKM Mahbubur Rahman, PhD
AKM Mahbubur Rhman, PhD

AKM Mahbubur Rahman, PhD

  • Director, DS & IPT Wings

  • Associate Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

CHI, ECCV, WACV, PAKDD, LREC, IJCNN, ICPR, ICIP, HCII, BEA, Scientific Reports, Information Sciences

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, Pattern Recognition, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Prof. Amin Ahsan Ali, PhD
Amin Ahsan Ali, PhD

Prof. Amin Ahsan Ali, PhD

  • Director, AI/ML Wing
  • Supervisor, ComBio Wing

  • Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Published at

ACL, CHI, UbiComp, ECCV, IJCAI, ECAI, WACV, IPSN, PAKDD, LREC, IJCNN, ICPR, ICIP, BEA, BLP, ICMLA, Scientific Reports, Scientific Data, Pattern Recognition, Information Sciences, Ad Hoc Networks, Drug and Alcohol Dependence, PLOS ONE

References

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Cited By

  1. 1.Manuel Gil-Martín, Rubén San-Segundo, Fernando Fernández-Martínez, Javier Ferreiros-López. (2021). Time Analysis in Human Activity Recognition. Neural Processing Letters, 53(6), 4507–4525[10.1007/s11063-021-10611-w]
  2. 2.Cheng Wang, Lin Chen, Bangwen Zhou, Yaqiao Xian, Yuhao Zhao, Zhan Huan. (2025). CILOSR: A unified framework for enhanced class incremental learning based open-set human activity recognition using wearable sensors. Expert Systems with Applications, 273, 126893[10.1016/j.eswa.2025.126893]
  3. 3.Marcel Dix, Jan Jens Koltermann, Sebastian Mieck, Heiko Petersen, Sebastian Taege, Gahana Anjanappa. (2024). Using Siamese Neural Networks for the Open Set Recognition of Anomalies Detected in Industrial Time Series Data. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1–8[10.1109/etfa61755.2024.10710747]
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