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实验室在人体姿态识别领域取得系列成果

发布时间:2017-10-02    字体:[增加 减小]  
  2017928-29日,在Bodynets2017 (12th EAI International Conference on Body Area Networks) 国际会议上,博士研究生马聪聪宣读的学术论文《An Embedded Risk Prediction System for Wheelchair Safety Driving》荣获 Best Student Paper Award。这是实验室在人体姿态识别领域获得的第二篇国际学术会议优秀论文奖,第一篇论文是2015年在澳大利亚召开的Bodynets2015 (10th EAI International Conference on Body Area Networks) 国际会议上获得,论文题目是:《Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility》。

  至此,实验室在该领域已经先后发表了近15篇学术论文,其中SCI国际期刊论文5篇,以倒叙时间顺序列表如下:
2) W. Li*, X. Hu, R. Gravina, G. Fortino. A Neuro-fuzzy Fatigue-tracking and Classification System for Wheelchair Users[J]. IEEE Access, 2017, PP(99):1-1.
3) C. Ma, W. Li, R. Gravina, J. Cao, Q. Li, G. Fortino, “Activity Recognition and Level Assessment Using a Smart Cushion for People with Sedentary Lifestyle”, Sensors, 2017.
4) C. Ma, W. Li*, R. Gravina, G. Fortino. Posture Detection based on Smart Cushion for Wheelchair Users[J]. Sensors, 17(4), 2017, 719. https://doi.org/10.3390/s17040719
5) R. Gravina*, C. Ma, P. Pace, G. Aloi, W. Russo, W. Li*, G. Fortino. Cloud-based Activity-aaService cyberphysical framework for human activity monitoring in mobility, Future Generation Computer Systems, Available online 22 September 2016, DOI: 10.1016/j.future.2016.09.006

   其他部分国际会议论文信息如下:

1) C. Ma, W. Li, Q. Li, R. Gravina, Y. Yang, G. Fortino, “An Embedded Risk Prediction System for Wheelchair Safety Driving” Proc. of the 12th Int. Conf. on Body Area Networks, 2017.

2) Congcong Ma, Wenfeng Li, Raffaele Gravina. Activity Recognition and Monitoring for Smart Wheelchair Users. 20th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2016, ISBN-13: 9781509019151

3) Congcong Ma, Wenfeng Li, Jingjing Cao. Cloud-based Wheelchair Assist System for Mobility Impaired Individuals. 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, ISBN-13: 9783319459394.

4) Yun Luo, Wenfeng Li. Wenbi Rao. A New Modeling Method of Photoplethysmography Signal Based on Lognormal Basis. 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, ISBN-13: 9783319459394.

5) Hu, Xinyun; Gravina, Raffaele; Li, Wenfeng; et al. A Neuro-Fuzzy System for Classifying Fatigue Degree of Wheelchair User. 9th International Conference on Internet and Distributed Computing Systems, IDCS 2016, ISBN-13: 9783319459394.

6) G. Fortino, R. Gravina, W. Li, C. Ma. Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility. 10th International Conference on Body Area Networks (BodyNets 2015). Sydney, Australia, Sep 2015.