{"title":"使用kinect的手指动作和数字识别","authors":"W. Shang, H. Ma, Hailong Zang","doi":"10.1109/ROBIO.2014.7090417","DOIUrl":null,"url":null,"abstract":"This paper uses the somatosensory system of Kinect to realize the hand gesture recognition involving action and digit of finger. The hand action is completed by using the NiTE library owning the framework of hand gesture recognition. Taking advantage of the information of the depth map, the digit expressed by hand is recognized by using OpenCV library. The simulated results demonstrate the work is very efficient for human interaction.","PeriodicalId":289829,"journal":{"name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Action and digit recognition of finger using kinect\",\"authors\":\"W. Shang, H. Ma, Hailong Zang\",\"doi\":\"10.1109/ROBIO.2014.7090417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses the somatosensory system of Kinect to realize the hand gesture recognition involving action and digit of finger. The hand action is completed by using the NiTE library owning the framework of hand gesture recognition. Taking advantage of the information of the depth map, the digit expressed by hand is recognized by using OpenCV library. The simulated results demonstrate the work is very efficient for human interaction.\",\"PeriodicalId\":289829,\"journal\":{\"name\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2014.7090417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2014.7090417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Action and digit recognition of finger using kinect
This paper uses the somatosensory system of Kinect to realize the hand gesture recognition involving action and digit of finger. The hand action is completed by using the NiTE library owning the framework of hand gesture recognition. Taking advantage of the information of the depth map, the digit expressed by hand is recognized by using OpenCV library. The simulated results demonstrate the work is very efficient for human interaction.