BioFace-3D

Author:

Wu Yi1,Kakaraparthi Vimal2,Li Zhuohang3,Pham Tien4,Liu Jian3,Nguyen VP4

Affiliation:

1. Wu University of Tennessee, Knoxville, TN, USA

2. University of Colorado Boulder, Boulder, CO, USA

3. University of Tennessee, Knoxville, TN, USA

4. University of Texas at Arlington, Arlington, TX, USA

Abstract

Over the last decade, facial landmark tracking and 3D reconstruction have gained considerable attention due to their numerous applications, such as human-computer interactions, facial expression analysis, emotion recognition, etc. However, existing camera-based solutions require users to be confined to a particular location and face a camera at all times without occlusions, which largely limits their usage in practice. To overcome these limitations, we propose the first single-earpiece lightweight biosensing system, Bioface-3D, that can unobtrusively, continuously, and reliably sense the entire facial movements, track 2D facial landmarks, and further render 3D facial animations. Without requiring a camera positioned in front of the user, this paradigm shift from visual sensing to biosensing would introduce new opportunities in many emerging mobile and IoT applications.

Publisher

Association for Computing Machinery (ACM)

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

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