The availability of high-quality datasets is paramount for training robust Machine Learning (ML) models, validating algorithms, and ultimately driving innovation. This chapter provides a detailed survey of publicly available datasets specifically targeting radar-based Human-Computer Interaction (HCIRadar-based HCI) research, examining their characteristics, applications, and limitations. By exploring existing datasets, we aim to provide researchers and practitioners with the knowledge needed to select, utilise, and potentially contribute to the growing body of datasets fuelling.

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

A Survey of  Datasets  for Radar-Based Human-Computer Interaction

  • Dariush Salami

摘要

The availability of high-quality datasets is paramount for training robust Machine Learning (ML) models, validating algorithms, and ultimately driving innovation. This chapter provides a detailed survey of publicly available datasets specifically targeting radar-based Human-Computer Interaction (HCIRadar-based HCI) research, examining their characteristics, applications, and limitations. By exploring existing datasets, we aim to provide researchers and practitioners with the knowledge needed to select, utilise, and potentially contribute to the growing body of datasets fuelling.