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Zelin Meng
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2020 – today
- 2022
- [j3]Zhichen Wang, Zelin Meng, Kenshi Saho, Kazuki Uemura, Naoto Nojiri, Lin Meng:
Deep learning-based elderly gender classification using Doppler radar. Pers. Ubiquitous Comput. 26(4): 1067-1079 (2022) - [j2]Zhichen Wang, Zelin Meng, Kenshi Saho, Kazuki Uemura, Naoto Nojiri, Lin Meng:
Correction to: Deep learning-based elderly gender classification using Doppler radar. Pers. Ubiquitous Comput. 26(4): 1081 (2022) - 2021
- [c4]Zelin Meng, Lin Meng, Kenshi Saho, Xiangbo Kong, Hiroyuki Tomiyama:
Frailty Classification Based on Artificial Intelligence. ATAIT 2021: 99-107 - 2020
- [c3]Zelin Meng, Zhiyu Zhang, Lin Meng, Hiroyuki Tomiyama:
A Case Study on Rubbing Character Recognition Based on Deep Learning. ISOCC 2020: 318-319
2010 – 2019
- 2019
- [j1]Xiangbo Kong, Zelin Meng, Lin Meng, Hiroyuki Tomiyama:
Three-States-Transition Method for Fall Detection Algorithm Using Depth Image. J. Robotics Mechatronics 31(1): 88-94 (2019) - [c2]Zelin Meng, Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama:
Lucas-Kanade Optical Flow Based Camera Motion Estimation Approach. ISOCC 2019: 77-78 - 2018
- [c1]Xiangbo Kong, Zelin Meng, Naoto Nojiri, Yuji Iwahori
, Lin Meng, Hiroyuki Tomiyama:
A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor. IIKI 2018: 276-282
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