MobileHCI'15: Userstudy 1: EyeTab Accuracy. This study assessed the accuracy of the EyeTab Computer Vision based gaze tracking approach. MobileHCI'15: Userstudy 2: Use Case Evaluation. Contribute to this Data Base. We would love to share your data set. To send your data, please send us pull requests on Github or contact us.
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Dataset: MobileHCI 2015 - Userstudy 1 | eyetrackingdb.github.io Reviews
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MobileHCI'15: Userstudy 1: EyeTab Accuracy. This study assessed the accuracy of the EyeTab Computer Vision based gaze tracking approach. MobileHCI'15: Userstudy 2: Use Case Evaluation. Contribute to this Data Base. We would love to share your data set. To send your data, please send us pull requests on Github or contact us.
eyetrackingdb.github.io
Dataset: MobileHCI 2015 - Userstudy 1
http://eyetrackingdb.github.io/dataset_mobilehci15_userstudy1.html
MobileHCI'15 - UserStudy 1: EyeTab Accuracy. This study assessed the accuracy of the EyeTab Computer Vision based gaze tracking approach. On the Applicability of Computer Vision based Gaze Tracking in Mobile Scenarios. Oliver Hohlfeld, Andre Pomp, Jo Agila Bitsch Link, Dennis Guse. S01 normal lb.zip. S01 normal lc.zip. S01 normal lw.zip. S01 small lb.zip. S01 small lc.zip. S01 small lw.zip. S02 normal lb.zip. S02 normal lc.zip. S02 normal lw.zip. S02 small lb.zip. S02 small lc.zip. S02 small lw.zip.
Dataset: MobileHCI 2015 - Userstudy 1
http://eyetrackingdb.github.io/index.html
MobileHCI'15: Userstudy 1: EyeTab Accuracy. This study assessed the accuracy of the EyeTab Computer Vision based gaze tracking approach. MobileHCI'15: Userstudy 2: Use Case Evaluation. Contribute to this Data Base. We would love to share your data set. To send your data, please send us pull requests on Github or contact us.
Dataset: MobileHCI 2015 - Userstudy 2
http://eyetrackingdb.github.io/dataset_mobilehci15_userstudy2.html
MobileHCI'15 - UserStudy 2: Use Case Evaluation. This user study concerns assessing the applicability of gaze tracking to real-life use cases. The first use case assesses the ability to detect if the user focuses on the device or gazes besides it. The second use case evaluates the ability to use mobile gaze tracking for supporting psychological field studies diagnosing dyslexia. On the Applicability of Computer Vision based Gaze Tracking in Mobile Scenarios. S01 line test.zip. S01 point test.zip. S07 poi...
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Oliver Hohlfeld : Publications
http://www.ohohlfeld.com/publications.html
Head of Network Architectures Group. I Don't Want That Content! On the Risks of the Exploitability of Bitcoin's Blockchain as a Content Store. Martin Henze, Robin Rawiel, Jan Henrik Ziegeldorf and Klaus Wehrle. ACM CCS 2016 (acceptance rate 38/92). Insensitivity to Network Delay: Minecraft Gaming Experience of Casual Gamers. Hannes Fiedler, Enric Pujol, Dennis Guse. New Kid on the Block: Network Functions Virtualization: From Big Boxes to Carrier Clouds. ACM SIGCOMM CCR, July, 2016. Northwestern: Seminar...
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Dataset: MobileHCI 2015 - Userstudy 1
MobileHCI'15: Userstudy 1: EyeTab Accuracy. This study assessed the accuracy of the EyeTab Computer Vision based gaze tracking approach. MobileHCI'15: Userstudy 2: Use Case Evaluation. Contribute to this Data Base. We would love to share your data set. To send your data, please send us pull requests on Github or contact us.
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