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.
Authors
- Lingde Hu (ORCID: https://orcid.org/0009-0008-1080-1254)
- Zhanpeng Jin (ORCID: https://orcid.org/0000-0002-3020-3736)
- Chengzhang Yu (ORCID: https://orcid.org/0000-0001-5067-9822)
- Yincheng Jin (ORCID: https://orcid.org/0000-0002-1812-4234)
- Yang Gao (ORCID: https://orcid.org/0000-0001-6811-0183)
- Xuefeng Yao
Institutions
- Binghamton University (US)
- East China Normal University (CN)
- South China University of Technology (CN)
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
- 0.00