Scholarlink

The ability to train a robot to recognize human gestures is critical in enabling close proximity to Human–Robot Interaction (HRI). To that end, generating the appropriate dataset for the corresponding Machine Learning (ML) algorithm is essential. In this paper, we introduced new datasets for hand gesture recognition. Given the complexity of generating thousands of physical hand gestures, we started with the basic hand gestures and developed additional synthetic gestures thus creating a comprehensive set.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Synthetic Datasets for Hand Gesture Recognition

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Pranav Vaidik Dhulipala,
  • Samuel Oncken,
  • Steven Claypool,
  • Stavros Kalafatis

摘要

The ability to train a robot to recognize human gestures is critical in enabling close proximity to Human–Robot Interaction (HRI). To that end, generating the appropriate dataset for the corresponding Machine Learning (ML) algorithm is essential. In this paper, we introduced new datasets for hand gesture recognition. Given the complexity of generating thousands of physical hand gestures, we started with the basic hand gestures and developed additional synthetic gestures thus creating a comprehensive set.