跳到主要导航 跳到搜索 跳到主要内容

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

  • Xianrong Yao
  • , Chengzhang Yu
  • , Lingde Hu
  • , Yincheng Jin
  • , Yang Gao
  • , Zhanpeng Jin*
  • *此作品的通讯作者
  • South China University of Technology
  • State University of New York Binghamton University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems
出版商Association for Computing Machinery, Inc
页614-615
页数2
ISBN(电子版)9798400714795
DOI
出版状态已出版 - 6 5月 2025
活动23rd ACM Conference on Embedded Networked Sensor Systems, SenSys 2025 - Irvine, 美国
期限: 6 5月 2025 → 9 5月 2025

丛书

姓名ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems

会议

会议23rd ACM Conference on Embedded Networked Sensor Systems, SenSys 2025
国家/地区美国
市Irvine
时期6/05/25 → 9/05/25

学术指纹

探究 'IMUFace: Real-Time, Low-Power, Continuous 3D Facial Reconstruction Through Earphones' 的科研主题。它们共同构成独一无二的学术指纹。

引用此