Human Activity Recognition Based on Motion Sensor Using U-Net
Zhang, Yong, Zhang, Zhao, Zhang, Yu, Bao, Jie, Zhang, Yifan, Deng, Haiqin·2019·IEEE Access
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- Human Action Recognition for Sanitation Data Using Voting ClassifierGunjan Pareek, Swati Nigam, Rajiv Kumar Singh · 2024 · Lecture notes in networks and systems
- Optimized Feature Selection for Motion Sensor-Based Human Activity Recognition with Machine Learning TechniquesM. Venkata Subbarao, G. Challa Ram, Y. Keerthi Sravya, K. Sri Subhanjili, D. Ramesh Varma, D. Girish Kumar · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Interlimb Gait Trajectory Synchronization from Inertial Measurement Unit (IMU) with ResUNetNoppawat Tantisiriwat, Napatsawan Ngamdi, Amorchai Khawkhom, Jetsada Arnin, Yodchanan Wongsawat, Dollaporn Anopas · 2025 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Hardware Design for Implementation of Human Activity Recognition Based on a U-Net++ NetworkAng Li, Xiao Liang · 2025 · International Congress on Image and Signal Processing (CISP)
- Intuitive Multi‐Scale Visual Feature Fusion for Automated Classification of Human ActivityVinay Gautam, Gaganpreet Kaur, ANURAG SINHA, Ashish Kumar Verma, Anindya Nag · 2026 · IET Cyber-Physical Systems Theory & Applications
- CT-LNN: FPGA-Based Accelerator for Continuous-Time Liquid Neural NetworksLiping Wang, Yu Gong, Lingjun Xi, Yue Wang, You Wang, Weiqiang Liu · 2026 · IEEE Transactions on Circuits and Systems I Regular Papers
- COBRA: Multimodal Sensing Deep Learning Framework for Remote Chronic Obesity Management via Wrist-Worn Activity MonitoringZhengyang Shen, Bo Gao, Mayue Shi · 2026 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
- A Study on Worker Activity Recognition Using a Cross-Attention Dual-Stream Multimodal Fusion NetworkMin Ji, Tongtong Wang, Guoyuan Shao · 2026 · Arabian Journal for Science and Engineering
- Semantic Segmentation of Inertial Signals for Human Activity Recognition in Mobile DevicesNicholas Kania, Leonardo Bigelli, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi · 2026 · International Conference on Machine Learning Technologies (ICMLT)
- Achieving more with less: An ultra-lightweight dual-branch multi-level depthwise separable convolution for sensor-based activity recognitionAbdessalam Hattab, Tarek Amine Haddad, Ali Boudjema · 2026 · Computers & Electrical Engineering