This page shows selected publications from the last years. For a detailed list please refer to the Google Scholar or DBLP page of Stefan Schneegass.
Type of Publication: Article in Collected Edition
SkullConduct: Biometric User Identification on Eyewear Computers Using Bone Conduction Through the Skull
- Stefan Schneegass, Youssef Oualil; Bulling, Andreas
- Title of Anthology:
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16)
- New York, USA
- Publication Date:
- Digital Object Identifier (DOI):
- SkullConduct: Biometric User Identification on Eyewear Computers Using Bone Conduction Through the Skull (1.47 MB)
- Download BibTeX
Secure user identification is important for the increasing number of eyewear computers but limited input capabilities pose significant usability challenges for established knowledge-based schemes, such as passwords or PINs. We present SkullConduct, a biometric system that uses bone conduction of sound through the user's skull as well as a microphone readily integrated into many of these devices, such as Google Glass. At the core of SkullConduct is a method to analyze the characteristic frequency response created by the user's skull using a combination of Mel Frequency Cepstral Coefficient (MFCC) features as well as a computationally light-weight 1NN classifier. We report on a controlled experiment with 10 participants that shows that this frequency response is person-specific and stable -- even when taking off and putting on the device multiple times -- and thus serves as a robust biometric. We show that our method can identify users with 97.0% accuracy and authenticate them with an equal error rate of 6.9%, thereby bringing biometric user identification to eyewear computers equipped with bone conduction technology.