In some complicated tabletop object manipulation task for robotic system, demonstration based control is an efficient way to enhance the stability of execution. In this paper, we use a new optical hand tracking sensor...In some complicated tabletop object manipulation task for robotic system, demonstration based control is an efficient way to enhance the stability of execution. In this paper, we use a new optical hand tracking sensor, LeapMotion, to perform a non-contact demonstration for robotic systems. A Multi-LeapMotion hand tracking system is developed. The setup of the two sensors is analyzed to gain a optimal way for efficiently use the informations from the two sensors. Meanwhile, the coordinate systems of the Mult-LeapMotion hand tracking device and the robotic demonstration system are developed. With the recognition to the element actions and the delay calibration, the fusion principles are developed to get the improved and corrected gesture recognition. The gesture recognition and scenario experiments are carried out, and indicate the improvement of the proposed Multi-LeapMotion hand tracking system in tabletop object manipulation task for robotic demonstration.展开更多
目的对脑卒中高危人群相关研究现状进行可视化分析,探讨研究热点及未来研究趋势。方法检索建库至2023年4月中国知网(CNKI)和Web of Science核心数据库中脑卒中高危人群相关文献,利用CiteSpace6.2软件从文章作者、机构、国家、关键词等...目的对脑卒中高危人群相关研究现状进行可视化分析,探讨研究热点及未来研究趋势。方法检索建库至2023年4月中国知网(CNKI)和Web of Science核心数据库中脑卒中高危人群相关文献,利用CiteSpace6.2软件从文章作者、机构、国家、关键词等方面进行知识图谱分析。结果共纳入1479篇文献,其中中文1169篇,英文310篇。除主题相关关键词外,国内高频关键词有危险因素、筛查、高血压等。国外高频关键词有risk factors、cerebral infarction、atrial fibrillation等。结论脑卒中高危人群研究领域目前的研究热度较高,其中开发和利用脑卒中危险因素监测或预测工具,将研究方向从人群调查转变为个体预防健康管理值得未来关注。展开更多
基金This research is funded by National Natural Science Foundation of China under Project no. 61210013, Science and Technology Planning Project of Guangdong Province under no. 2014A020215027.
文摘In some complicated tabletop object manipulation task for robotic system, demonstration based control is an efficient way to enhance the stability of execution. In this paper, we use a new optical hand tracking sensor, LeapMotion, to perform a non-contact demonstration for robotic systems. A Multi-LeapMotion hand tracking system is developed. The setup of the two sensors is analyzed to gain a optimal way for efficiently use the informations from the two sensors. Meanwhile, the coordinate systems of the Mult-LeapMotion hand tracking device and the robotic demonstration system are developed. With the recognition to the element actions and the delay calibration, the fusion principles are developed to get the improved and corrected gesture recognition. The gesture recognition and scenario experiments are carried out, and indicate the improvement of the proposed Multi-LeapMotion hand tracking system in tabletop object manipulation task for robotic demonstration.
