Efficient and Low-Cost Deep-learning Based Gaze Estimator for Surgical Robot Control
Li P(李鹏)3; Duan, Xingguang2; Song GL(宋国立)1; Wei, Le3; Hou, Xuebin3
2018
会议日期August 1-5, 2018
会议地点Kandima, Maldives
关键词Deep Learning Minimally Invasive Surgery Gaze estimation Convolutional Neural Neural Surgical robot
页码58-63
英文摘要Surgical robots are playing more and more important role in modern operating room. However, operations by using surgical robot are not easy to handle by doctors. Vision based human-computer interaction (HCI) is a way to ease the difficulty to control surgical robots. While the problem of this method is that eyes tracking devices are expensive. In this paper, a low cost and robust deep-learning based on gaze estimator is proposed to control surgical robots. By this method, doctors can easily control the robot by specifying the starting point and ending point of the surgical robot using eye gazing. Surgical robots can also he controlled to move in 9 directions using controllers' eyes gazing information. A Densely Connected Convolutional Neural Networks (Dense CNN) model for 9-direction/36-direction gaze estimation is built. The Dense CNN architecture has much more less trainable parameters compared to traditional CNN network architecture (AlexNet like/VGG like) which is more feasible to deploy on the Field-Programmable Gate Array (FPGA) and other hardware with limited memories.
源文献作者IEEE ; IEEE Robot & Automat Soc
产权排序2
会议录Proceedings of the 2018 IEEE International Conference on Real-time Computing and Robotics
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-6869-6
WOS记录号WOS:000459211400010
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/24241]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Song GL(宋国立); Hou, Xuebin
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
3.School of Mechanical Engineering and Automation, Harbin Institute of Technology (ShenZhen), Shenzhen, China.
推荐引用方式
GB/T 7714
Li P,Duan, Xingguang,Song GL,et al. Efficient and Low-Cost Deep-learning Based Gaze Estimator for Surgical Robot Control[C]. 见:. Kandima, Maldives. August 1-5, 2018.
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