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Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction
Gao Q(高庆)1,2; Liu JG(刘金国)1; Ju ZJ(琚兆杰)3; Zhang, Lu4; Li YM(李杨民)5; Liu YW(刘玉旺)1
Conference Name11th International Conference on Intelligent Robotics and Applications, ICIRA 2018
Conference DateAugust 9-11, 2018
Conference PlaceNewcastle, NSW, Australia
Source PublicationIntelligent Robotics and Applications - 11th International Conference, ICIRA 2018, Proceedings
PublisherSpringer Verlag
Publication PlaceBerlin
Indexed ByEI ; CPCI(ISTP)
EI Accession number20183405735327
WOS IDWOS:000458556300015
Contribution Rank1
KeywordHuman-robot interaction Hands detection SSD Deep learning
AbstractIn the astronaut-space robot interaction based on hand gestures, the detection and location of hands are the premise and basis of vision-based hand gesture recognition and hand tracking. In this paper, the SSD (Single Shot Multibox Detector) which is a kind of deep learning model is utilized to detect and locate astronaut’s hands for space human-robot interaction (SHRI) based on hand gestures. First of all, in order to meet the needs of hand detection and location, an improved SSD model is designed to detect hands when they are shown as small targets in images. Then, a platform for SHRI is built and a set of hand gestures for SHRI are designed. Finally, the proposed SSD model is validated experimentally on a homemade hand gesture database for proving the superiority of this improved SSD model to small target hands detection.
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Document Type会议论文
Corresponding AuthorLiu JG(刘金国)
Affiliation1.The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of the Chinese Academy of Science, Beijing 100049, China
3.School of Computing, University of Portsmouth, Portsmouth, PO1 3HE, United Kingdom
4.Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
5.Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong
Recommended Citation
GB/T 7714
Gao Q,Liu JG,Ju ZJ,et al. Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction[C]. Berlin:Springer Verlag,2018:164-175.
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