基于手势识别的交互式生成艺术平台设计与实现  

Design and Implementation of Interactive Generation Art Platform Based on Gesture Recognition

作　　者：陆雅娟 马仲康 刘凯 凌坤龙 商艺薷 LU Yajuan;MA Zhongkang;LIU Kai;LING Kunong;SHANG Yiru(School of Computer and Electronic Information,Guangxi University,Nanning Guangxi 530000,China)

机构地区：[1]广西大学计算机与电子信息学院,广西南宁530000

出　　处：《信息与电脑》2023年第10期172-175,共4页Information & Computer

基　　金：广西大学校级重点大学生创新创业训练计划项目(项目编号:202210593922)。

摘　　要：为了使艺术设计更为普及,文章提出了基于手势识别的人工智能生成艺术设计。通过采集用户的手势识别结果,结合用户需要的生成艺术效果,在Media Pipe机器学习框架下,首先对Open CV捕获的图像进行检测,其次精确提取手部状态信息,再次调用Auto Py和Py Auto GUI,生成手部姿势和指令动作之间的映射,最后结合Processing和p5.js设计并实现一个基于手势识别的交互式艺术平台,有效实现了用户和作品之间双向、实时的艺术交互。In order to make art design more popular,this paper proposes an artificial intelligence generation art design based on gesture recognition.By collecting the user's gesture recognition results and combining with the user's required generation art effect,under the MediaPipe machine learning framework,the image captured by OpenCV is detected,and the hand status information is accurately extracted.Then,AutoPy and PyAutoGUI are called to generate the mapping between hand posture and command action.Finally,an interactive art platform based on gesture recognition is designed and implemented by combining Processing and p5.js,Effectively achieving bidirectional and real-time artistic interaction between users and works.

关 键 词：手势识别 生成艺术 人工智能 PROCESSING 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]