| 题名 | Poster Abstract: Enhancing Human Motion Sensing with synthesized Millimeter-Waves |
| 作者 | |
| DOI | |
| 发表日期 | 2024-05-16
|
| ISBN | 979-8-3503-6202-2
|
| 会议录名称 | |
| 会议日期 | 13-16 May 2024
|
| 会议地点 | Hong Kong
|
| 摘要 | This poster introduces SynMotion, a novel mmWave-based human motion sensing system addressing the scarcity of training datasets. By synthesizing mmWave signals using existing vision-based human motion datasets, this system overcomes the challenge of collecting and labeling mmWave data, facilitating wider adoption of mmWave technology for applications like activity recognition, skeleton tracking and radar placement recommendation. |
| 学校署名 | 其他
|
| 相关链接 | [IEEE记录] |
| 收录类别 | |
| 引用统计 | |
| 成果类型 | 会议论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/789208 |
| 专题 | 工学院_斯发基斯可信自主研究院 工学院_计算机科学与工程系 |
| 作者单位 | 1.Department of Computer Science, City University of Hong Kong, Hong Kong, China 2.Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 3.Peng Cheng Laboratory, Shenzhen, China |
| 第一作者单位 | 斯发基斯可信自主系统研究院; 计算机科学与工程系 |
| 推荐引用方式 GB/T 7714 |
Xiaotong Zhang,Kun Wang,Zhenjiang Li,et al. Poster Abstract: Enhancing Human Motion Sensing with synthesized Millimeter-Waves[C],2024.
|
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论