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Volkswagen Group, Germany

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5 Papers

Emotion Recognition through Keystroke Dynamics on Touchscreen Keyboards

Topics: Guidelines, Principles, Patterns and Standards; Emotional and Affective Computing

Authors: Matthias Trojahn ¹ , Florian Arndt ¹ , Markus Weinmann ² and Frank Ortmeier ³

Affiliations: ¹ Volkswagen AG, Germany , ² TU Braunschweig, Germany , ³ Otto-von-Guericke University of Magdeburg, Germany

Digital Object Identifier: 10.5220/0004415500310037

Proceedings of ICEIS 2013, ISBN: 978-989-8565-61-7

Quick Abstract

Automatic emotion recognition through computers offers a lot of advantages, as the interaction between human and computers can be improved. For example, it is possible to be responsive to anger or frustration of customers automatically while working with a webpage. Mouse cursor movements and keystroke dynamics were already used and examined for such a recognition on conventional keyboards. The aim of this work is to investigate keystroke dynamics on touchscreen keyboards which gets a cumulative relevance through the increasingly further circulation of smartphones and tablets. Furthermore, it is possible to record additional information like pressure and size of keystrokes. This could increase the recognition rate for emotions. In order to record the keystroke dynamics, an application and keyboard layout for Android OS were developed. In addition, hypotheses were established on the basis of Yerkes-Dodson-Law and Flow theory and besides, a study with 152 test persons for the data collection was implemented. Subsequently, a data evaluation with the SPSS software was accomplished. Most of the hypotheses were confirmed and the results of the study show that emotions can be explained by the keystroke dynamics and recognized in this way.

Related Ontology Subjects/Areas/Topics (4)

Emotional and Affective Computing		Guidelines, Principles, Patterns and Standards		Human-Computer Interaction
Enterprise Information Systems

Keystroke Authentication on Mobile Devices with a Capacitive Display

Authors: Matthias Trojahn ¹ and Frank Ortmeier ²

Affiliations: ¹ Volkswagen AG, Germany , ² Otto-von-Guericke University, Germany

Digital Object Identifier: 10.5220/0004344806370640

Proceedings of BTSA 2013/ICPRAM, ISBN: 978-989-8565-41-9

Quick Abstract

Nowadays, it is common to address security problems in the newspaper. Losing or stealing of mobile devices (smartphones and tablets) is in particular an important topic. A lot of information can be stored and accessed via these devices. The one reason why this problem exists, is because the mobile devices are not secured properly. In our work we present an authentication method for these mobile devices.We are using the keystroke dynamics during typing a PIN (four or six numbers) or password. With this the security of the devices gets improved. Keystroke dynamics are already used for authentication on PCs and on mobile phones with hardware keys on a 12-key layout.

Keystroke Authentication with a Capacitive Display using Different Mobile Devices

Topics: Identity Management; Identification, Authentication and Non-Repudiation; Access Control; Biometrics Security and Privacy

Authors: Matthias Trojahn ¹ , Christian Schadewald ¹ and Frank Ortmeier ²

Affiliations: ¹ Volkswagen AG, Germany , ² Otto-von-Guericke University of Magdeburg, Germany

Digital Object Identifier: 10.5220/0004606105800585

Proceedings of SECRYPT 2013/ICETE, ISBN: 978-989-8565-73-0

Quick Abstract

Related Ontology Subjects/Areas/Topics (10)

Access Control	Databases and Data Security	Information and Systems Security
Biometrics Security and Privacy	Identification, Authentication and Non-Repudiation	Internet Technology
Data and Application Security and Privacy	Identity Management	Web Information Systems and Technologies
Data Engineering

MOTION SEGMENTATION THROUGH FACTORIZATION - APPLICATION TO NIGHT DRIVING ASSISTANCE

Topics: Motion and Tracking; Stereo Vision and Structure from Motion

Authors: Carme Julià ¹ , Joan Serrat ¹ , Antonio López ¹ , Felipe Lumbreras ¹ , Dani Ponsa ¹ and Thorsten Graf ²

Affiliations: ¹ Universitat Autònoma de Barcelona, Spain , ² Volkswagen AG Group Research, Electronics, Germany

Digital Object Identifier: 10.5220/0001362802700277

Proceedings of VISAPP 2006, ISBN: 972-8865-40-6

Quick Abstract

Intelligent vehicles are those equipped with sensors and information control systems that can assist human driving. In this context, we address the problem of detecting vehicles at night. The aim is to distinguish vehicles from lamp posts and traffic sign reflections by grouping the blob trajectories according to their apparent motion. We have adapted two factorization techniques, originally designed to estimate the scene structure from motion: the Costeira–Kanade and the Han–Kanade, named after their authors. Results on both vehicle existence in the field of view and motion segmentation are reported.

Related Ontology Subjects/Areas/Topics (9)

Applications	Methodologies and Methods	Pattern Recognition
Computer Vision, Visualization and Computer Graphics	Motion and Tracking	Physiological Computing Systems
Human-Computer Interaction	Motion, Tracking and Stereo Vision	Stereo Vision and Structure from Motion

STEREOVISION APPROACH FOR OBSTACLE DETECTION ON NON-PLANAR ROADS

Topics: Vision, Recognition and Reconstruction; Intelligent Transportation Technologies and Systems

Authors: Sergiu Nedevschi ¹ , Radu Danescu ¹ , Dan Frentiu ¹ , Tiberiu Marita ¹ , Florin Oniga ¹ , Ciprian Pocol ¹ , Rolf Schmidt ² and Thorsten Graf ²

Affiliations: ¹ T.U. of Cluj-Napoca, Romania , ² Volkswagen AG, Germany

Digital Object Identifier: 10.5220/0001139300110018

Proceedings of ICINCO 2004, ISBN: 972-8865-12-0

Quick Abstract

This paper presents a high accuracy stereovision system for obstacle detection and vehicle environment perception in various driving scenarios. The system detects obstacles of all types, even at high distance, outputting them as a list of cuboids having a position in 3D coordinates, size, speed and orientation. For increasing the robustness of the obstacle detection the non-planar road model is considered. The stereovision approach was considered to solve the road-obstacle separation problem. The vertical profile of the road is obtained by fitting a first order clothoid curve on the stereo detected 3D road surface points. The obtained vertical profile is used for a better road-obstacle separation process. By consequence the grouping of the 3D points above the road in relevant objects is enhanced, and the accuracy of their positioning in the driving environment is increased.

Related Ontology Subjects/Areas/Topics (4)

Informatics in Control, Automation and Robotics		Robotics and Automation		Vision, Recognition and Reconstruction
Intelligent Transportation Technologies and Systems

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