A Review on Transformer-Based Methods for Human Activity Recognition

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 121

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شناسه ملی سند علمی:

JR_IJWR-7-4_007

تاریخ نمایه سازی: 11 دی 1403

چکیده مقاله:

With the expansion of smart homes, Human Activity Recognition (HAR) has become a key challenge in artificial intelligence, enhancing not only the comfort and safety of residents but also contributing to the development of applications such as healthcare and smart surveillance. The Transformer architecture, with its ability to model long-term dependencies and process data in parallel, has made significant advancements in recognizing human activities. In addition, its multi-head attention mechanism enables the analysis of complex input data by allowing the model to focus on different parts of the input simultaneously, capturing diverse relationships and dependencies within the data. This paper examines the application of Transformers in HAR and analyzes recent studies (since ۲۰۱۹). In addition to investigating innovative architectures, feature extraction methods, and accuracy improvements, it also discusses the challenges and future prospects of these models in recognizing human activities. Rapid advancements in deep learning and access to extensive datasets have made Transformers a key tool for improving the accuracy and efficiency of HAR systems in smart environments.

نویسندگان

Fatemeh Sadat Lesani

Department of Electrical and Computer Engineering, Qom University of Technology, Qom, Iran

Ronak Fatahi

Faculty of Electrical and Computer Engineering, Shahab Danesh University, Qom, Iran

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  • N. A. Choudhury and B. Soni, "An Adaptive Batch Size ...
  • A. Subasi, K. Khateeb, T. Brahimi, and A. Sarirete, "Human ...
  • A. Hayat, F. Morgado-Dias, B. P. Bhuyan, and R. Tomar, ...
  • M. A. Khatun et al., "Deep CNN-LSTM with self-attention model ...
  • A. Sunil, M. H. Sheth, and E. Shreyas, "Usual and ...
  • S. Siriwardhana, T. Kaluarachchi, M. Billinghurst, and S. Nanayakkara, "Multimodal ...
  • S. N. Kabataş and D. Sarıkaya, "Surgical activity recognition with ...
  • J. Wang, Y. Chen, S. Hao, X. Peng, and L. ...
  • L. M. Dang, K. Min, H. Wang, M. J. Piran, ...
  • S. Simonsson, F. D. Casagrande, and E. Zouganeli, "Use of ...
  • M. Gochoo, T.-H. Tan, S.-H. Liu, F.-R. Jean, F. S. ...
  • Z. Gu, T. He, Z. Wang, and Y. Xu, "Device-free ...
  • A. Dahou, M. A. Al-qaness, M. Abd Elaziz, and A. ...
  • A. I. Middya, S. Kumar, and S. Roy, "Activity recognition ...
  • P. Kumar, S. Chauhan, and L. K. Awasthi, "Human Activity ...
  • Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, ...
  • V. Sze, Y.-H. Chen, T.-J. Yang, and J. S. Emer, ...
  • S. Ramasamy Ramamurthy and N. Roy, "Recent trends in machine ...
  • A. Vaswani et al., "Attention is all you need," Advances ...
  • J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, "Bert: ...
  • N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, ...
  • T. Perrett, A. Masullo, T. Burghardt, M. Mirmehdi, and D. ...
  • D. Bahdanau, K. Cho, and Y. Bengio, "Neural machine translation ...
  • X. Huang and S. Zhang, "Human Activity Recognition based on ...
  • K. T. Chitty-Venkata, S. Mittal, M. Emani, V. Vishwanath, and ...
  • A. Hussain, T. Hussain, W. Ullah, and S. W. Baik, ...
  • G. Pareek, S. Nigam, and R. Singh, "Modeling transformer architecture ...
  • F. MortezaPour Shiri, T. Perumal, N. Mustapha, R. Mohamed, M. ...
  • D. Bouchabou, S. M. Nguyen, C. Lohr, B. LeDuc, and ...
  • S. Qiu et al., "Multi-sensor information fusion based on machine ...
  • P. Wei et al., "Impact Analysis of Temperature and Humidity ...
  • J. Saini, M. Dutta, and G. Marques, "Sensors for indoor ...
  • F. Demrozi, G. Pravadelli, A. Bihorac, and P. Rashidi, "Human ...
  • Y. Cheng, K. Wang, H. Xu, T. Li, Q. Jin, ...
  • Z. Zhang and H. Liu, "Application of sports wearable sensor ...
  • Y. Liu, C. Ouyang, Z. Wang, J. Xu, X. Mu, ...
  • S. Abdullah, G. Xiao, and R. E. Amaya, "A review ...
  • P. Fard Moshiri, R. Shahbazian, M. Nabati, and S. A. ...
  • X. Chen, Y. Zou, C. Li, and W. Xiao, "A ...
  • M. Kulbacki et al., "Intelligent Video Analytics for Human Action ...
  • H. H. Pham, L. Khoudour, A. Crouzil, P. Zegers, and ...
  • H. B. Mahajan et al., "Automatic robot Manoeuvres detection using ...
  • K. Okarma, "Applications of Computer Vision in Automation and Robotics," ...
  • V. Selvaraju, N. Spicher, R. Swaminathan, and T. M. Deserno, ...
  • R. Pandey, S. Saha, N. Yathiraju, I. S. Abdulrahman, R. ...
  • R. P. Singh, H. Srivastava, H. Gautam, R. Shukla, and ...
  • Y. Myagmar-Ochir and W. Kim, "A Survey of Video Surveillance ...
  • J. Kaur and W. Singh, "A systematic review of object ...
  • M. S, G. E. R, M. N, K. J, V. ...
  • S. M. A. Sharif, R. A. Naqvi, M. Biswas, and ...
  • R. Azad et al., "Advances in medical image analysis with ...
  • A. Singh, P. Li, K. K. Singh, and V. Saravana, ...
  • Q. Ming, L. Miao, Z. Zhou, J. Song, Y. Dong, ...
  • A. Ettalibi, A. Elouadi, and A. Mansour, "AI and Computer ...
  • R. Szeliski, Computer vision: algorithms and applications. Springer Nature, ۲۰۲۲ ...
  • J. B. Cordonnier, A. Loukas, and M. Jaggi, "On the ...
  • K. Duan, S. Bao, Z. Liu, and S. Cui, "Exploring ...
  • B. Chen, F. Zhang, X. Yang, Q. Ning, and V. ...
  • R. Yin and J. Yin, "A Two-stream Hybrid CNN-Transformer Network ...
  • B. Liu and S. Fang, "Multi-level wavelet network based on ...
  • G. R. Hemalakshmi, M. Murugappan, M. Y. Sikkandar, S. S. ...
  • P. Xu, X. Zhu, and D. A. Clifton, "Multimodal learning ...
  • A. Reiss and D. Stricker, "Introducing a new benchmarked dataset ...
  • D. J. Cook, "Learning Setting-Generalized Activity Models for Smart Spaces," ...
  • D. Anguita, A. Ghio, L. Oneto, X. Parra, and J. ...
  • T. H. Tran et al., "A multi-modal multi-view dataset for ...
  • H. Wei, P. Chopada, and N. Kehtarnavaz, "C-MHAD: Continuous Multimodal ...
  • H. Leutheuser, D. Schuldhaus, and B. M. Eskofier, "Hierarchical, multi-sensor ...
  • W. Zhang, M. Zhu, and K. G. Derpanis, "From actemes ...
  • A. Shahroudy, J. Liu, T.-T. Ng, and G. Wang, "Ntu ...
  • F. J. Ordóñez and D. Roggen, "Deep Convolutional and LSTM ...
  • C. Chen, R. Jafari, and N. Kehtarnavaz, "UTD-MHAD: A multimodal ...
  • Q. Kong, Z. Wu, Z. Deng, M. Klinkigt, B. Tong, ...
  • J. R. Kwapisz, G. M. Weiss, and S. A. Moore, ...
  • J. Wan, M. J. O’grady, and G. M. O’Hare, "Dynamic ...
  • C. Wojek, G. Dorkó, A. Schulz, and B. Schiele, "Sliding-windows ...
  • T. H. Le, T. H. Tran, and C. Pham, "Human ...
  • O. Saidani, M. Alsafyani, R. Alroobaea, N. Alturki, R. Jahangir, ...
  • D. Ahn, S. Kim, H. Hong, and B. C. Ko, ...
  • S. Suh, V. F. Rey, and P. Lukowicz, "TASKED: Transformer-based ...
  • S. K. Yadav, S. B. Kera, R. V. Gonela, K. ...
  • Y. Shavit and I. Klein, "Boosting inertial-based human activity recognition ...
  • G. Augustinov et al., "Transformer-Based Recognition of Activities of Daily ...
  • A. Snoun, T. Bouchrika, and O. Jemai, "View-invariant ۳D Skeleton-based ...
  • D. Liu, Y. Wang, and J. Kato, "Supervised Spatial Transformer ...
  • J. Wensel, H. Ullah, and A. Munir, "ViT-ReT: Vision and ...
  • R. Pramanik, R. Sikdar, and R. Sarkar, "Transformer-based deep reverse ...
  • T. H. Lee, H. Kim, and D. Lee, "Transformer based ...
  • M. Sharifi-Renani, M. H. Mahoor, and C. W. Clary, "BioMAT: ...
  • L. Jiang, M. Wu, L. Che, X. Xu, Y. Mu, ...
  • Z. Guo, R. G. Guendel, A. Yarovoy, and F. Fioranelli, ...
  • I. D. Luptáková, M. Kubovčík, and J. Pospíchal, "Wearable Sensor ...
  • J. Yan, X. Zeng, A. Zhou, and H. Ma, "MM-HAT: ...
  • Y. Liu et al., "TransTM: A device-free method based on ...
  • A. Raza, K. P. Tran, L. Koehl, S. Li, X. ...
  • T. Chen and L. Mo, "Swin-fusion: swin-transformer with feature fusion ...
  • D. Gao and L. Wang, "Multi-scale Convolution Transformer for Human ...
  • Y. Djenouri and A. N. Belbachir, "A Hybrid Visual Transformer ...
  • S. Xiao, S. Wang, Z. Huang, Y. Wang, and H. ...
  • J. Li, L. Yao, B. Li, X. Wang, and C. ...
  • J. Li, L. Yao, B. Li, and C. Sammut, "Distilled ...
  • نمایش کامل مراجع