Purpose – Personal mobile devices currently have access
		  to a significant portion of their user’s private sensitive
		  data and are increasingly used for processing mobile
		  payments. Consequently, securing access to these mobile
		  devices is a requirement for securing access to the
		  sensitive data and potentially costly services. The authors
		  propose and evaluate a first version of a pan shot face
		  unlock method: a mobile device unlock mechanism using all
		  information available from a 180° pan shot of the device
		  around the user’s head – utilizing biometric face
		  information as well as sensor data of built-in sensors of
		  the device. The paper aims to discuss these issues.

		  Design/methodology/approach – This approach uses
		  grayscale 2D images, on which the authors perform frontal
		  and profile face detection. For face recognition, the
		  authors evaluate different support vector machines and
		  neural networks. To reproducibly evaluate this pan shot
		  face unlock toolchain, the authors assembled the 2013
		  Hagenberg stereo vision pan shot face database, which the
		  authors describe in detail in this article.

		  Findings – Current results indicate that the approach to
		  face recognition is sufficient for further usage in this
		  research. However, face detection is still error prone for
		  the mobile use case, which consequently decreases the face
		  recognition performance as well.

		  Originality/value – The contributions of this paper
		  include: introducing pan shot face unlock as an approach to
		  increase security and usability during mobile device
		  authentication; introducing the 2013 Hagenberg stereo
		  vision pan shot face database; evaluating this current pan
		  shot face unlock toolchain using the newly created face
		  database.<br>
<br><pre>@article{Findling_13_TowardsPanShot,
  author = {Findling, Rainhard Dieter and Mayrhofer, Ren\'e},
  title = {Towards Pan Shot Face Unlock: Using Biometric Face
  		  Information from Different Perspectives to Unlock Mobile
  		  Devices},
  journal = {International Journal of Pervasive Computing and
  		  Communications},
  year = {2013},
  volume = {9},
  number = {3},
  pages = {190--208},
  month = sep,
  doi = {10.1108/IJPCC-05-2013-0012},
  keywords = {Biometric authentication, Face database, Face detection,
  		  Face recognition, Face unlock, Mobile device
  		  authentication},
  url = {https://www.emeraldinsight.com/doi/abs/10.1108/IJPCC-05-2013-0012}
}
</pre>