| Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao, X Miao, R Liu, ... Information Fusion 80, 241-265, 2022 | 461 | 2022 |
| Stance phase detection for ZUPT-aided foot-mounted pedestrian navigation system ZL Wang, HY Zhao, S Qiu, Q Gao IEEE/ASME Transactions on Mechatronics 20 (6), 3170 - 3181, 2015 | 196 | 2015 |
| Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion S Qiu, Z Wang, H Zhao, K Qin, Z Li, H Hu Information Fusion 39, 108-119, 2018 | 190 | 2018 |
| An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors Z Wang, M Jiang, Y Hu, H Li IEEE Transactions on Information Technology in Biomedicine 16 (4), 691-699, 2012 | 171 | 2012 |
| Using distributed wearable sensors to measure and evaluate human lower limb motions S Qiu, Z Wang, H Zhao, H Hu IEEE Transactions on Instrumentation and Measurement 65 (4), 939-950, 2016 | 155 | 2016 |
| Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion H Zhao, Z Wang, S Qiu, J Wang, F Xu, Z Wang, Y Shen Information Fusion 52, 157-166, 2019 | 134 | 2019 |
| A triaxial accelerometer-based human activity recognition via EEMD-based features and game-theory-based feature selection Z Wang, D Wu, J Chen, A Ghoneim, MA Hossain IEEE Sensors Journal 16 (9), 3198-3207, 2016 | 115 | 2016 |
| Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset D Wu, Z Wang, Y Chen, H Zhao Neurocomputing 190, 35-49, 2016 | 107 | 2016 |
| Sensor network oriented human motion capture via wearable intelligent system S Qiu, H Zhao, N Jiang, D Wu, G Song, H Zhao, Z Wang International Journal of Intelligent Systems 37 (2), 1646-1673, 2022 | 100 | 2022 |
| Kernel fusion based extreme learning machine for cross-location activity recognition Z Wang, D Wu, R Gravina, G Fortino, Y Jiang, K Tang Information Fusion 37, 1-9, 2017 | 99 | 2017 |
| Heading drift reduction for foot-mounted inertial navigation system via multi-sensor fusion and dual-gait analysis H Zhao, Z Wang, S Qiu, Y Shen, L Zhang, K Tang, G Fortino IEEE Sensors Journal 19 (19), 8514-8521, 2018 | 93 | 2018 |
| Sensor combination selection strategy for kayak cycle phase segmentation based on body sensor networks S Qiu, Z Hao, Z Wang, L Liu, J Liu, H Zhao, G Fortino IEEE Internet of Things Journal 9 (6), 4190-4201, 2021 | 91 | 2021 |
| CPG-inspired locomotion control for a snake robot basing on nonlinear oscillators Z Wang, Q Gao, H Zhao Journal of Intelligent & Robotic Systems 85, 209-227, 2017 | 90 | 2017 |
| MEMS inertial sensors based gait analysis for rehabilitation assessment via multi-sensor fusion S Qiu, L Liu, H Zhao, Z Wang, Y Jiang Micromachines 9 (9), 442, 2018 | 79 | 2018 |
| Badminton stroke recognition based on body sensor networks Z Wang, M Guo, C Zhao IEEE Transactions on Human-Machine Systems 46 (5), 769-775, 2016 | 75 | 2016 |
| A method to deal with installation errors of wearable accelerometers for human activity recognition M Jiang, H Shang, Z Wang, H Li, Y Wang Physiological measurement 32 (3), 347, 2011 | 74 | 2011 |
| A review of telemedicine in China Z Wang, H Gu Journal of Telemedicine and Telecare 15 (1), 23-27, 2009 | 72 | 2009 |
| A multisensor multiclassifier hierarchical fusion model based on entropy weight for human activity recognition using wearable inertial sensors M Guo, Z Wang, N Yang, Z Li, T An IEEE Transactions on Human-Machine Systems 49 (1), 105-111, 2018 | 65 | 2018 |
| A bristle-based pipeline robot for ill-constraint pipes Z Wang, H Gu IEEE/ASME Transactions On Mechatronics 13 (3), 383-392, 2008 | 65 | 2008 |
| Inertial sensor-based analysis of equestrian sports between beginner and professional riders under different horse gaits Z Wang, J Li, J Wang, H Zhao, S Qiu, N Yang, X Shi IEEE Transactions on Instrumentation and Measurement 67 (11), 2692-2704, 2018 | 63 | 2018 |
Sen QiuDalian University of TechnologyПотвърден имейл адрес: dlut.edu.cn
