Thermal model for hand-object interactions

被引:0
|
作者
Ho, Hsin-Ni [1 ]
Jones, Lynette A. [1 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
基金
美国国家卫生研究院;
关键词
fingerpad surface roughness; hand-object interaction; haptic interface; thermal contact resistance; thermal display; thermal feedback; thermal model; virtual environment;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A thermal model is proposed that predicts the temperature responses of the skin and material surface during hand-object interactions as well as the heat flux exchanged when the fingerpad makes contact with an object. The surface features of the fingerpad were measured in order to estimate the thermal contact resistance which is included in the model. A simulation based on the model was performed to calculate the thermal responses of the fingerpad as it made contact with a range of materials with varying thermal properties. A thermal measurement system based on an infrared camera has been designed and fabricated to overcome the limitations imposed by the contact thermal sensors. This system will be used to evaluate the validity of the model in predicting the changes in skin temperature during contact.
引用
收藏
页码:461 / 467
页数:7
相关论文
共 50 条
  • [41] Understanding Atomic Hand-Object Interaction With Human Intention
    Fan, Hehe
    Zhuo, Tao
    Yu, Xin
    Yang, Yi
    Kankanhalli, Mohan
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32 (01) : 275 - 285
  • [42] Grasp planning via hand-object geometric fitting
    Song, Peng
    Fu, Zhongqi
    Liu, Ligang
    VISUAL COMPUTER, 2018, 34 (02): : 257 - 270
  • [43] Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
    Liu, Shaowei
    Jiang, Hanwen
    Xu, Jiarui
    Liu, Sifei
    Wang, Xiaolong
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 14682 - 14692
  • [44] ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
    Fan, Zicong
    Taheri, Omid
    Tzionas, Dimitrios
    Kocabas, Muhammed
    Kaufmann, Manuel
    Black, Michael J.
    Hilliges, Otmar
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 12943 - 12954
  • [45] Hand-object information embedded dexterous grasping generation
    Ren, Shuyang
    Zhang, Yibiao
    Hang, Jinglue
    Lin, Xiangbo
    PATTERN RECOGNITION LETTERS, 2023, 174 : 130 - 136
  • [46] Grasp planning via hand-object geometric fitting
    Peng Song
    Zhongqi Fu
    Ligang Liu
    The Visual Computer, 2018, 34 : 257 - 270
  • [47] HandO: a hybrid 3D hand-object reconstruction model for unknown objects
    Yu, Hang
    Cheang, Chilam
    Fu, Yanwei
    Xue, Xiangyang
    MULTIMEDIA SYSTEMS, 2022, 28 (05) : 1845 - 1859
  • [48] Resolving hand-object occlusion for mixed reality with joint deep learning and model optimization
    Feng, Qi
    Shum, Hubert P. H.
    Morishima, Shigeo
    COMPUTER ANIMATION AND VIRTUAL WORLDS, 2020, 31 (4-5)
  • [49] Hand-Object Interaction Detection with Fully Convolutional Networks
    Schroeder, Matthias
    Ritter, Helge
    2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2017, : 1236 - 1243
  • [50] Point Cloud Hand-Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover
    Zhang, Yan
    Mueller, Steffen
    Stephan, Benedict
    Gross, Horst-Michael
    Notni, Gunther
    SENSORS, 2021, 21 (16)