Haptic Adjective Recognition Dataset Construction and Verification
文献类型：会议论文
| 作者 | Yuanpei Zhang1,2 ; Shuai Tian1,2; Mofei Li3; Jie Hao2,4
|
| 出版日期 | 2024-05 |
| 会议日期 | May 10-12, 2024 |
| 会议地点 | Guangzhou, China |
| 关键词 | haptic sensation adjective recognition dataset |
| 英文摘要 | Researchers have been increasingly interested in understanding how humans describe the haptic sensation of objects, aiming to enhance the adaptability of robots in complex tasks. Adjective recognition aims to furnish robots with high-level attribute feature information about their environment. In existing adjective recognition research, the PHAC-2 Dataset has been commonly used for evaluating algorithms. In order to promote adjective recognition algorithm research, we create a new dataset to evaluate adjective properties, named the Haptic Adjective Recognition (HAR) Dataset. This dataset is generated from sliding experiments using a bionic fingertip equipped with force sensors and IMUs. In addition, we propose an adjective recognition method to evaluate the plausibility of the HAR Dataset. We conduct extensive experiments, and the experimental results demonstrate that: (ⅰ) our model is highly effective on seen materials, achieving classification accuracy of 98.68% and F1 score of 97.44%; (ⅱ) our model exhibits certain generalization capability on unseen materials, though with some unsatisfactory test results on some specific materials. The results prove the reasonableness of the HAR Dataset distribution, while also underscore the potential of exploring algorithms with robust generalization capabilities for unseen materials. The complete HAR dataset is available for download on Google Drive. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56602]  |
| 专题 | 国家专用集成电路设计工程技术研究中心_实感计算 |
| 通讯作者 | Jie Hao |
| 作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 2.Institute of Automation, Chinese Academy of Sciences, Beijing, China 3.School of Artificial Intelligence, Nankai University, Tianjin, China 4.Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou, China |
| 推荐引用方式 GB/T 7714 | Yuanpei Zhang,Shuai Tian,Mofei Li,et al. Haptic Adjective Recognition Dataset Construction and Verification[C]. 见:. Guangzhou, China. May 10-12, 2024. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。