IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones

Facial expressions are vital for effective communication, conveying emotions and health status. Traditional analysis methods, like manual annotations and geometric models, are labor-intensive and inadequate for complex situations. While vision-based approaches improve accuracy, they often struggle with environmental constraints and privacy concerns. Non-visual wearables offer flexibility but can be uncomfortable and power-hungry. To overcome these issues, we introduce IMUFace, an innovative earplug platform that uses inertial measurement units (IMUs) for real-time facial expression reconstruction. IMUFace captures facial motion data through IMUs in headphones and processes it with a deep learning model to estimate facial landmarks accurately. These predictions are then fitted to the FLAME model, creating realistic 3D facial animations. Compact and low-power, IMUFace represents a significant advancement in generating 3D facial animations for everyday use.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1145/3715014.3724034
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
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article

IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones

Lingde Hu, Zhanpeng Jin, Chengzhang Yu, Yincheng Jin et al.
Face recognition and analysis
article

IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones

Lingde Hu, Zhanpeng Jin, Chengzhang Yu, Yincheng Jin, Yang Gao, Xuefeng Yao
article en

Abstract

Facial expressions are vital for effective communication, conveying emotions and health status. Traditional analysis methods, like manual annotations and geometric models, are labor-intensive and inadequate for complex situations. While vision-based approaches improve accuracy, they often struggle with environmental constraints and privacy concerns. Non-visual wearables offer flexibility but can be uncomfortable and power-hungry. To overcome these issues, we introduce IMUFace, an innovative earplug platform that uses inertial measurement units (IMUs) for real-time facial expression reconstruction. IMUFace captures facial motion data through IMUs in headphones and processes it with a deep learning model to estimate facial landmarks accurately. These predictions are then fitted to the FLAME model, creating realistic 3D facial animations. Compact and low-power, IMUFace represents a significant advancement in generating 3D facial animations for everyday use.

Binghamton University (US), East China Normal University (CN), South China University of Technology (CN)
Openalex Percentile: Top 92%
Face recognition and analysis
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