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Check out the documentation for more information.

HumanTouch 数据集发布页

Hugging Face Dataset ModelScope Dataset 首版规模

HumanTouch: A Multimodal System for Scalable Human-Hand Tactile Acquisition

运动展示手在做什么,触觉揭示物理世界如何响应。机器人需要理解接触丰富的交互,而不只是模仿运动轨迹。

  • 项目主页:https://xsparkai.com/sparklab/humantouch/
  • 出品机构:SparkLab@Xspark AI
  • 项目负责人:Chuqiao Lyu|lvcq@xsparkai.com
  • 通讯作者:Wenbo Ding, Tianxing Chen, Qi Xiong
  • 核心贡献:Chenze Yu, Eric J Chen, Wenxuan Zhu
  • 项目成员:Youchen Lai, Raymond Lee, Daniel Li, Kai-Chong Lei, Kehe Ye, Jiahao Zhang, Yuxiao Huo, Xiwen Tan, Weining Lu, Gengqiu Yang, Junhao Gong, Chenxin Lang, Hekun Tian, Shaolong Yang.

数据集概述

HumanTouch 是一个面向规模化人手触觉采集的多模态数据集。它通过双手柔性压阻触觉手套、MANUS 电磁场(EMF)手部跟踪、6-DoF 手腕位姿跟踪,以及头部场景相机 + 双侧手腕相机,在统一的 60 Hz 参考时间线上同步采集触觉、手部姿态与视觉数据。相比 OpenTouch、World In Your Hands、FreeTacMan、Touch in the Wild 等现有系统,HumanTouch 具备更完整的触觉覆盖、力校准(✓)、自然操作(✓)与多地部署(✓)能力。

关键数字

项目 数值
首版规模 约 100 小时(10 个规范任务 × 约 10 小时)
规范任务 10 个(X001–X010)
采样频率 60 Hz 统一时间线(全模态同步)

模态与同步

每个 episode 在同一时间线下包含以下模态:

模态 内容
触觉 双手柔性压阻触觉手套,每手 360 个有效点(手指 + 手掌)
手部姿态 MANUS 电磁场(EMF)跟踪,每手 25 关节
手腕位姿 6-DoF 手腕位姿跟踪
视觉 头部场景相机 + 双侧手腕相机

质量保障

  • 触觉辅助手部姿态标定:利用拇指-指尖自接触约束,校正手指段长度与关节偏移,使数字手模型贴合真实手。
  • 柔性手套标定与表示:以解剖学触觉块(patch)为单位估计接触置信度、响应分布与近似中心(相对响应,非物理力值),容忍织物滑移与姿态相关伪影。
  • Episode 级人工审核:每个 episode 均经人工审核与任务完成度标注,仅质量达标者入选。

获取方式

发布路线图

版本 时间 内容
首版 v1 2026-08-15 约 100 小时子集(10 个规范任务)
扩展版 计划一个月内 扩展至约 1,000 小时
HumanTouch AIGC edition 筹备中 AIGC 版本数据集

许可

数据集许可以 ModelScope 仓库页标注的许可证为准。

引用

论文正式发表前的占位引用,请以最终发布版本为准:

@misc{humantouch2026,
  title     = {HumanTouch: A Multimodal System for Scalable Human-Hand Tactile Acquisition},
  author    = {Chuqiao Lyu and Wenbo Ding and Tianxing Chen and Qi Xiong},
  year      = {2026},
  note      = {SparkLab@Xspark AI. 占位引用,待论文正式发表后更新}
}
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