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Related Experiment Video

Updated: Dec 30, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Visually Guided Acquisition of Contact Dynamics and Case Study in Data-Driven Haptic Texture Modeling.

Arsen Abdulali, Ibragim R Atadjanov, Seokhee Jeon

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    Summary

    This study introduces an interactive system to streamline data collection for human hand contact dynamics modeling. The framework improves model accuracy and reduces user effort in creating reliable data-driven models.

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    Area of Science:

    • Robotics
    • Human-Computer Interaction
    • Data Science

    Background:

    • Data-driven modeling of human hand contact dynamics requires extensive data collection, which is time-consuming and impacts model quality.
    • Current methods often involve repetitive data acquisition, leading to inefficiencies and potential user fatigue.
    • Ensuring comprehensive data coverage across the model space is crucial for reliable model performance.

    Purpose of the Study:

    • To develop an interactive system that assists users in efficiently collecting data for human hand contact dynamics.
    • To improve the quality and stability of data-driven models by optimizing the data collection process.
    • To reduce the cognitive load and effort associated with manual data acquisition.

    Main Methods:

    • An online segmentation framework was developed to partition multivariate streaming signals in real-time.
    • A user interface was designed, mapping applied input to visual modalities based on direct perception theory.
    • A human-in-the-loop system was implemented, combining the segmentation framework and user interface for guided data acquisition.

    Main Results:

    • The proposed data collection schema significantly enhanced the approximation quality of the contact dynamics model.
    • The developed user interface substantially reduced the mental workload experienced by users during data collection.
    • Real-time segmentation enabled effective tracking of model space population during data acquisition.

    Conclusions:

    • The interactive system effectively streamlines data collection for human hand contact dynamics modeling.
    • The combination of real-time segmentation and a perception-based user interface improves model accuracy and user experience.
    • This approach offers a more efficient and less demanding method for building reliable data-driven models in this domain.