| Haptic Adjective Recognition Dataset Construction and Verification | |
Yuanpei Zhang1,2 ; Shuai Tian1,2; Mofei Li4; Jie Hao1,3
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| 2024-05 | |
| 会议名称 | 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE 2024) |
| 会议日期 | May 10-12, 2024 |
| 会议地点 | Guangzhou, China |
| 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. |
| 关键词 | haptic sensation adjective recognition dataset |
| 语种 | 英语 |
| 七大方向——子方向分类 | 智能机器人 |
| 国重实验室规划方向分类 | 环境多维感知 |
| 是否有论文关联数据集需要存交 | 否 |
| 文献类型 | 会议论文 |
| 条目标识符 | 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.Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou, China 4.School of Artificial Intelligence, Nankai University, Tianjin, China |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 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],2024. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Haptic Adjective Rec（534KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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