本研究团队一直致力于人体运动数据的采集、检测、分析和信息融合算法的研究，研发了基于人体传感器网络技术的穿戴式人体步态分析平台，能够实时无线采集监测被测者步行过程中下肢运动速度、姿态、位移和关节角度等多种信息，并获批两项国家发明专利： 一种基于多传感器融合的人体步态分析方法和系统（ZL201510178450.4）和一种三维人体步态定量分析系统和方法（ZL201210268628.0）。团队完成的“人体运动信息采集监测和识别技术的研究及应用”课题通过教育部组织的科技成果鉴定，鉴定结果为国际先进水平。

代表性论文：

[1] Qiu, S., Wang, Z., Zhao, H., Qin, K., Li, Z., Hu, H. Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion. Information Fusion, 39: 108–119, 2018.  影响因子：17.564，ESI高被引论文

[2] Qiu, S., Hongkai Zhao, Zhelong Wang, Long Liu, Yi An, Hongyu Zhao, Xin Miao, Ruichen Liu, and Giancarlo Fortinoc, Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges. Information Fusion, 2022，影响因子：17.564，ESI高被引论文

[3] Qiu, S.,  Zhengdong Hao, Zhelong Wang, Long Liu, Jiayi Liu, Hongyu Zhao, Giancarlo Fortino, Sensor Combination Selection Strategy for Kayak Cycle Phase Segmentation Based on Body Sensor Network. IEEE Internet of Things Journal, 2022. 影响因子: 10.238. ESI高被引论文、热点论文

[4] Qiu, S.,  Hongkai Zhao, Nanjiang, Guangcai Song, Donghui Wu, Hongyu Zhao, Zhelong Wang. Sensor Network Oriented Human Motion Segmentation via Wearable Intelligent System. International Journal of Intelligent Systems, 2022. 影响因子: 8.993. ESI高被引论文、热点论文

[5] Qiu, S., Wang, Z., Zhao, H. Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions. IEEE Transactions on Instrumentation & Measurement, 65(4): 939–950, 2016. 

[6] Qiu, S., Wang, Z., Zhao, H., Liu, L., Jiang, Y., Li, J., Fortino, G. Body Sensor Network based Robust Gait Analysis: Toward Clinical and at Home Use. IEEE Sensors Journal, 2019.

[7] Qiu, S., Liu, L., Zhao, H., Wang, Z., & Jiang, Y.. MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion. Micromachines, 9(442), 1-17. 2018. 

[8] Wang, Z. L., Zhao, H. Y., Qiu, S., & Gao, Q. Stance phase detection for ZUPT-aided foot-mounted pedestrian navigation system. IEEE/ASME Transactions on Mechatronics, 20(6), 3170–3181. 2015. 

[9] Li, J., Wang, Z., Qiu, S, & Zhao, H.. Study on Horse-rider Interaction Based on Body Sensor Network in Competitive Equestrian. IEEE Transactions on Affective Computing, 2019. 

[10] Qiu, S., Wang, Z., Zhao, H. Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors. International Journal of Computational Science and Engineering, 14(3): 222–233, 2017