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New Python toolbox automates analysis of nonverbal human communication

The NICE Toolbox is a new open-source Python framework designed to automate the measurement and annotation of nonverbal human communication signals. Developed by Aleksandr Evgrashin and collaborators, this tool combines existing computer vision and speech-processing methods to analyze posture, gesture, gaze, facial expression, and speech. It aims to make the exploration of interpersonal communication signals more scalable, reproducible, and accessible for psychological research by supporting multi-camera systems, interchangeable algorithms, and data export to third-party software. AI

IMPACT Enables more scalable and reproducible research into human communication by automating signal analysis.

RANK_REASON The item describes a new open-source software tool released as a research paper on arXiv, aimed at facilitating research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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New Python toolbox automates analysis of nonverbal human communication

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The item describes a new open-source software tool released as a research paper on arXiv, aimed at facilitating research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Aleksandr Evgrashin, Carolin Schmitt, Timo L\"ubbing, Ashutosh Jha, Buket Naz Zeren, Sophie K. Bauer, Johannes Kopf-Beck, Anton K. G. Marx, Anamaria Semm, G\"okce Erg\"un, Senya Polikovsky ·

    NICE Toolbox: Nonverbal Interpersonal Communication Exploration Toolbox

    arXiv:2610.21786v1 Announce Type: new Abstract: Understanding human communication is a long-standing goal in psychological research. People express themselves through many verbal and nonverbal channels: posture, gesture, gaze, facial expression, and speech. Measurement and annota…