Publications

[115] W. Irrek and U. Handmann. Sauber getrennt ist halb verwertet - Recycling mittels KI. IM+io Best & Next Practices aus Digitalisierung, Management, Wissenschaft, 2023(01):26–29, March 2023. [ bib | url | pdf ]
[114] N. Abou Baker, J. Stehr, and U. Handmann. E-Waste Recycling Gets Smarter with Digitalization. In 10th IEEE Conference on Technologies for Sustainability (SUSTECH 2023), pages 205–209, Portland, Oregon USA, 2023. IEEE. [ bib | DOI | url | pdf ]
[113] U. Handmann and N. Abou Baker. Digitalization & Circular Economy (Poster). In HRW, 2023. [ bib | pdf ]
[112] D. Rohrschneider, N. Abou Baker, and U. Handmann. Double transfer learning to detect lithium-ion batteries on x-ray images. In 17th International Work-Conference on Artificial Neural Networks (IWANN 2023), pages 1–12, Ponta Delgada (Sao Miguel, Azores Islands, Portugal), 2023. [ bib | pdf ]
[111] N. Abou Baker, N. Zengeler, and U. Handmann. A transfer learning evaluation of deep neural networks for image classification. Machine Learning and Knowledge Extraction, 4(1):22–41, 2022. [ bib | DOI | url | pdf ]
[110] N. Zengeler, T. Glasmachers, and U. Handmann. Transfer Meta Learning. In 26TH International Conference on Pattern Recognition (ICPR 2022), pages 4471–4478, Montreal, Canada, 2022. [ bib | DOI | url | pdf ]
[109] N. Abou Baker, D. Rohrschneider, and U. Handmann. Battery detection of xray images using transfer learning. In The 30th European Symposium on Artificial Neural Networks (ESANN 2022), pages 241–246, Bruges, Belgium, 2022. [ bib | DOI | url | pdf ]
[108] N. Abou Baker, J. Stehr, and U. Handmann. Transfer Learning Approach towards a Smarter Recycling. In 31st International Conference on Artificial Neural Networks (ICANN 2022), Bristol, UK. Artificial Neural Networks and Machine Learning. Lecture Notes in Computer Science, vol 13529, pages 685–696, Springer, Cham, 2022. [ bib | DOI | url | pdf ]
[107] N. Abou Baker and U. Handmann. An approach for smart and cost-efficient automated E-Waste recycling for small to medium-sized devices using multi-sensors. In IEEE Sensors 2022, Dallas, Texas, USA, 2022. [ bib | DOI | url | pdf ]
[106] I. Larson, K. Schwermer, and U. Handmann. Digital4u: Finde deinen Traumberuf! Schulwelt NRW, September 2021. [ bib | pdf ]
[105] M. Wehrmann, N. Zengeler, and U. Handmann. Observation Time Effects in Reinforcement Learning on Contracts for Difference. Journal of Risk and Financial Management, 14(2:54):1–15, 2021. MDPI, Basel, Switzerland. [ bib | DOI | url | pdf ]
[104] N. Abou Baker, P. Szabo-Müller, and U. Handmann. Transfer learning-based method for automated e-waste recycling in smart cities. EAI Endorsed Transactions on Smart Cities, 5(16):1–9, 4 2021. [ bib | DOI | url | pdf ]
[103] N. Abou Baker, P. Szabo-Müller, and U. Handmann. Feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city. In Science and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360, Virtual Event, December 2-4, 2020, Proceedings, pages 422–441, Cham, Switzerland, 2021. Springer Nature. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, volume 372. [ bib | DOI | url | pdf ]
[102] F. Wafo, I.C. Mabou, D. Heilmann, N. Zengeler, and U. Handmann. A transfer learning evaluation of deep neural networks. In IEEE 16th Conference on Industrial Electronics and Applications (ICIEA), pages 1411–1416, 2021. [ bib | DOI | url | pdf ]
[101] A. Arntz, D. Keßler, N. Borgert, N. Zengeler, M. Jansen, U. Handmann, and S. Eimler. Navigating a Heavy Industry Environment Using Augmented Reality - A Comparison of Two Indoor Navigation Designs. In Virtual, Augmented and Mixed Reality - Industrial and Everyday Life Applications, 12th International Conference, VAMR 2020 - Held as Part of the 22nd HCI International Conference, HCII 2020, Springer Nature, Cham, Switzerland, 2020. [ bib | DOI | url | pdf ]
[100] N. Zengeler and U. Handmann. Contracts for Difference: A Reinforcement Learning Approach. Journal of Risk and Financial Management - Special Issue 'AI and Financial Markets', 13(4:78):1–12, 2020. MDPI, Basel, Switzerland. [ bib | DOI | url | pdf ]
[99] N. Zengeler and U. Handmann. Contracts for Difference: A Reinforcement Learning Approach. AI and Financial Markets, pages 41–52, 2020. MDPI, Basel, Switzerland. [ bib | DOI | url | pdf ]
[98] N. Zengeler, A. Arntz, D. Keßler, M. Grimm, Z. Qasem, M. Jansen, S. Eimler, and U. Handmann. Science and Technologies for Smart Cities, 10th EAI International Conference on Sensor Systems and Software, chapter Person Tracking in Heavy Industry Environments with Camera Images, pages 324–336. Springer Nature, Cham, Switzerland, 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, volume 323. [ bib | DOI | url | pdf ]
[97] N. Abou Baker, P. Szabo-Müller, and U. Handmann. Feature-fusion transfer learning method as a basis to support automated smartphone recycling in a circular smart city. In EAI S-CUBE 2020 - 11th EAI International Conference on Sensor Systems and Software, online, 2020. [ bib | url | pdf ]
[96] N. Zengeler, U. Handmann, and Th. Kopinski. Hand Gesture Recognition in Automotive Human Machine Interaction. Sensors, 19(1;59):1–28, 2019. MDPI, Basel, Switzerland. [ bib | DOI | url | pdf ]
[95] N. Zengeler, M. Grimm, C. Borgmann, M. Jansen, S. Eimler, and U. Handmann. An Evaluation of Human Detection Methods on Camera Images in Heavy Industry Environments. In IEEE Conference on Industrial Electronics and Applications (ICIEA 2019), pages 205–210, Xi'an, China, 2019. [ bib | DOI | url | pdf ]
[94] C. Straßmann, S. Eimler, A. Arntz, D. Keßler, S. Zielinski, G. Brandenberg, V. Dümpel, and U. Handmann. Relax yourself - Using Virtual Reality to enhance employees mental health and work performance. In ACM CHI Conference on Human Factors in Computing Systems (CHI' 19), Glasgow, Scotland, 2019. [ bib | DOI | url | pdf ]
[93] A. Arntz, S. Eimler, and U. Handmann. Teaching Practical Tasks with Virtual Reality and Augmented Reality An Experimental Study Comparing Learning Outcomes. In 21st General Online Research Conference, page 49, Cologne, Germany, 2019. [ bib | url | pdf ]
[92] K. Hermsen, S.C. Eimler, A. Arntz, D. Keßler, M. Jansen, Z. Qasem, M. Grimm, N. Zengeler, and U. Handmann. Dynamic, Adaptive and Mobile System for Context-Based and Intelligent Support of Employees in the Steel Industry. In 4th ESTAD (European Steel Technology and Application Days), Düsseldorf, Germany, 2019. [ bib | url | pdf ]
[91] C. Straßmann, S. Eimler, G. Brandenberg, A. Arntz, D. Keßler, S. Zielinski, V. Dümpel, and U. Handmann. Positive and Relaxing Effects of Virtual Reality Applications. In The 11th Conference of the Media Psychology Division of the German Psychological Society, pages 140–141, Chemnitz, Germany, 2019. [ bib | url | pdf ]
[90] C. Straßmann, S. Eimler, A. Arntz, D. Keßler, S. Zielinski, G. Brandenberg, V. Dümpel, and U. Handmann. Development of a Virtual Reality Application Affecting Relaxation and Well-being. In womENcourage 2019 - 'Diversity Drives Societal Change', Rome, Italy, 2019. [ bib | url | pdf ]
[89] C. Straßmann, S. Eimler, G. Brandenberg, A. Arntz, D. Keßler, S. Zielinski, V. Dümpel, and U. Handmann. Virtual or Reality? Same Effects of Short-Term Relaxation Scenarios on Affect and Stress. In Technology, Mind & Society (TMS' 19), pages 40–41, Washington, USA, 2019. Poster. [ bib | url | pdf ]
[88] C. Thiel, S. Sommer, L. Günther, A. Osterhoff, O. Koch, U. Handmann, and C. Grüneberg. Implementierung und erste Effekte Smartphone-unterstützter körperlich-kognitiver Aktivitäten im Quartier zur Förderung der sozialen Teilhabe älterer Menschen. In B&G - Bewegungstherapie und Gesundheitssport, volume 35, pages 235–245. Georg Thieme Verlag KG, 2019. ISSN 1613-0863. [ bib | DOI | url | pdf ]
[87] N. Zengeler, A. Arntz, D. Keßler, M. Grimm, Z. Qasem, M. Jansen, S. Eimler, and U. Handmann. Person Tracking in Heavy Industry Environments with Camera Images. In 10th EAI International Conference on Sensor Systems and Software, Braga, Portugal, 2019. [ bib | url | pdf ]
[86] P. März and U. Handmann. Human Systems Engineering and Design. IHSED 2018 - 1st International Conference on Human Systems Engineering and Design: Future Trends and Applications, volume 876 of Advances in Intelligent Systems and Computing, chapter Driver Stress Response to self-driving vehicles and takeover request - an experts assessment, pages 737–743. Springer, Cham, Reims, France, 2018. [ bib | DOI | url | pdf ]
[85] D. Schwahlen and U. Handmann. Effects of Environmental Influences on Active Thermography to Detect the Inner Structures of Wind Turbine Rotor Blades. In 6th IEEE Conference on Technologies for Sustainability (SUSTECH 2018), pages 153–157, Long Beach, California USA, 2018. IEEE. [ bib | DOI | url | pdf ]
[84] A. Arntz, S.C. Eimler, and U. Handmann. Artificial Intelligence Driven Human-Machine Collaboration Scenarios in Virtual Reality. In Intelligent Automation Symposium -When Robots Think. Interdisciplinary Views on Intelligent Automation, Münster, Germany, 2018. [ bib | pdf ]
[83] L. Günther, A. Osterhoff, C. Thiel, S. Sommer, M. Niehoff, M. Sharma, U. Handmann, O. Koch, and C. Grüneberg. Wirksamkeit eines Smartphone-unterstützten körperlich-kognitiven Trainingsprogrammes zur quartiers- bezogenen Teilhabeförderung älterer Menschen. In ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE - Gerontologie und Geriatrie Kongress Vielfalt des Alterns: biomedizinische und psychosoziale Herausforderungen, volume 51, page 62, Köln, Germany, 2018. Springer, Heidelberg. [ bib | DOI | url | pdf ]
[82] N. Zengeler, U. Handmann, and Th. Kopinski. Time-of-flight Hand Gesture Data Analysis in an Automotive Context . In MIGW - 8th Conference on Mobility in a Globalised World, 2018. Mülheim, Germany. [ bib | pdf ]
[81] T. Lübbers, D. Nowak, and U. Handmann. Microcontroller-Einsatz im Unterricht - Wie geht eigentlich programmieren? bildung+ schule digital, 2018. [ bib | url | pdf ]
[80] J. Fey, C. Djahan, T.A. Mpouma, J. Neh-Awah, and U. Handmann. Active thermographic structural feature inspection of wind-turbine rotor blades. In IEEE Far East Nondestructive Testing (FENT 2017), pages 138–142, Xi'an, China, 2017. IEEE. [ bib | DOI | url | pdf ]
[79] L. Günther, A. Osterhoff, C. Thiel, S. Sommer, M. Niehoff, M. Sharma, U. Handmann, O. Koch, and C. Grüneberg. 'Quartier Agil' - Feasibility of Combined Physical and Cognitive Activities in the Community /Neighbourhood with Smartphone Support for Stimulating Social Participation in the Elderly. In 13th Annual Meeting and 8th Conference of HEPA Europe - Modern Approaches to Physical Activity Promotion and Measurement, 2017. [ bib | url | pdf ]
[78] J. Kronenberger, D. Malysiak, and U. Handmann. Text and character recognition on metal-sheets. In IEEE International Conference on Information and Automation (ICIA 2017), pages 392–397, Macau, China, 2017. [ bib | DOI | url | pdf ]
[77] D. Malysiak, A.-K. Roemhild, C. Niess, and U. Handmann. Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science, volume 10191, chapter Boosting Detection Results of HOG-based Algorithms Through Non-Linear Metrics and ROI Fusion, pages 577–588. Springer Verlag, Kanazawa, Japan, 2017. [ bib | DOI | url | pdf ]
[76] C. Niess, J. Fey, D. Schwahlen, M. Reimann, and U. Handmann. Applying step heating thermography to wind turbine rotor blades as a non-destructive testing method. In 56th Annual Conference of the British Institute for Non-Destructive Testing (NDT 2017), pages 68–76, Telford, UK, 2017. [ bib | url | pdf ]
[75] F. Sachara, T. Kopinski, A. Gepperth, and U. Handmann. Free-hand gesture recognition with 3d-convolutional neural networks for in-car infotainment control in real-time. In IEEE Intelligent Transportation Systems Conference (ITSC 2017), pages 959–964, Yokohama, Japan, 2017. IEEE. [ bib | DOI | url | pdf ]
[74] F. Sachara, T. Kopinski, F. Handmann, N. Cremer, A. Gepperth, and U. Handmann. A Large-Scale Multi-Pose 3D-RGB Object Database. In The International Joint Conference on Neural Networks (IJCNN 2017), pages 1326–1332, Anchorage, Alaska, USA, 2017. [ bib | DOI | url | pdf ]
[73] D. Schwahlen, J. Fey, C. Niess, M. Reimann, and U. Handmann. Increasing economic viability and safety through structural health monitoring of wind turbines. In 5th IEEE Conference on Technologies for Sustainability (SUSTECH 2017), Phoenix, Arizona, USA, 2017. IEEE. [ bib | DOI | url | pdf ]
[72] A. Sarkar, A. Gepperth, U. Handmann, and Th. Kopinski. Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM, pages 19–31. Springer International Publishing, Cham, 2017. [ bib | DOI | url | pdf ]
[71] C. Grüneberg, C. Thiel, S. Sommer, O. Koch, and U. Handmann. 'Quarter agile - active in the neighborhood' - promoting older people's social participation and community in the neighborhood via participative training of physical and cognitive everyday skills (study). German Clinical Trials Register, DRKS-ID: DRKS00010595, 06 2016. Public funding by Bundesministerium für Bildung und Forschung, Bonn, Germany, 2016. [ bib | url | pdf ]
[70] Th. Kopinski, J. Eberwein, S. Geisler, and U. Handmann. Touch versus mid-air gesture interfaces in road scenarios - measuring driver performance degradation. In IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), pages 661–666, Rio de Janeiro, Brazil, 2016. IEEE. [ bib | DOI | url | pdf ]
[69] Th. Kopinski, A. Gepperth, and U. Handmann. A time-of-flight-based hand posture database for human-machine interaction. In 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, Phuket, Thailand, 2016. [ bib | DOI | url | pdf ]
[68] Th. Kopinski and U. Handmann. Touchless interaction for future mobile applications. In IEEE International Conference on Computing, Networking and Communications (ICCNC 2016), Kauai, Hawaii, USA, 2016. IEEE. [ bib | DOI | url | pdf ]
[67] Th. Kopinski, F. Sachara, A. Gepperth, and U. Handmann. A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data. In 13th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2016), Hiroshima, Japan, 2016. EAI. [ bib | DOI | url | pdf ]
[66] Th. Kopinski, F. Sachara, A. Gepperth, and U. Handmann. A Deep Learning Approach for Hand Posture Recognition From Depth Data. In Artificial Neural Networks and Machine Learning (ICANN 2016), volume 9887 of Lecture Notes in Computer Science, pages 179–186. Springer Verlag, 2016. [ bib | DOI | url | pdf ]
[65] D. Malysiak, M. Markard, and U. Handmann. Increasing the efficiency of gpu-based hog algorithms through tile-images. In Asian Conference on Information and Database Systems: ACIIDS 2016, Da Nang, Vietnam, 2016. [ bib | DOI | url ]
[64] Th. Kopinski, S. Geisler, and U. Handmann. Gesture-based human-machine interaction for assistance systems. In IEEE International Conference on Information and Automation (ICIA 2015), pages 510 – 517, Lijian, China, 2015. [ bib | DOI | url | pdf ]
[63] Th. Kopinski, A. Gepperth, and U. Handmann. A simple technique for improving multi-class classification with neural networks. In 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), pages 469–474, Bruges, Belgium, 2015. [ bib | DOI | url | pdf ]
[62] Th. Kopinski, A. Gepperth, and U. Handmann. A real-time applicable dynamic hand gesture recognition framework. In IEEE 18th International Conference on Intelligent Transportation Systems (ITSC 2015), pages 2358 – 2363, Las Palmas de Gran Canaria, Canary Islands (Spain), 2015. IEEE. [ bib | DOI | url | pdf ]
[61] Th. Kopinski, S. Magand, A. Gepperth, and U. Handmann. A light-weight real-time applicable hand gesture recognition system for automotive applications. In IEEE Intelligent Vehicles Symposium (IV 2015), pages 336–342, Seoul, Korea, 2015. [ bib | DOI | url | pdf ]
[60] Th. Kopinski, S. Magand, A. Gepperth, and U. Handmann. A pragmatic approach to multi-class classification. In The International Joint Conference on Neural Networks (IJCNN 2015), pages 1–8, Killarney, Ireland, 2015. [ bib | DOI | url | pdf ]
[59] J. M. Pawlowski, S. C. Eimler, M. Jansen, J. Stoffregen, S. Geisler, O. Koch, G. Müller, and U. Handmann. Positive computing. Business & Information Systems Engineering, 57(6):405–408, 2015. Springer, Heidelberg, Germany. [ bib | DOI | url | pdf ]
[58] A. Rabie and U. Handmann. Privacy aware person-specific assisting system for home environment. In ICPRAM 2015 - International Conference on Pattern Recognition Applications and Methods, Proceedings Volume 2, pages 186–191, Lisbon, Portugal, 2015. [ bib | DOI | url | pdf ]
[57] A. Rabie and U. Handmann. Biometric for home environment challenges, modalities and applications. In IEEE World Congress on Information Technology and Computer Applications (WCITCA 2015), pages 1–4, Hammamet, Tunisia, 2015. [ bib | DOI | url | pdf ]
[56] D. Malysiak, T. Kopinski, and U. Handmann. A generic and adaptive approach for workload distribution in multi-tier cluster systems with an application to distributed matrix multiplication. In 16th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary, 2015. [ bib | DOI | url ]
[55] D. Malysiak, M. Grimm, and U. Handmann. On the challenge of training small scale neural networks on large scale computing systems. In 16th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary, 2015. [ bib | DOI | url ]
[54] M.A. Grimm, S. Hommel, U. Handmann, V. Voges, and U. Weigmann. Intelligent support of video surveillance at airports (poster). In Berlin Air Show (ILA 2014), Conference: Security and Service in Commercial Aviation - Contradiction or Synergy?, Berlin, Germany, 2014. [ bib | url | pdf ]
[53] S. Hommel, M. Grimm, D. Malysiak, and U. Handmann. APFel - fast multi camera people tracking at airports, based on decentralized video indexing. Science2 - Safety and Security, 2:48–55, 2014. HOMELAND SECURITY UG, Hemer, Germany. [ bib | pdf ]
[52] S. Hommel, D. Malysiak, and U. Handmann. Efficient people re-identification based on models of human clothes. In 15th IEEE International Symposium on Computational Intelligence and Informatics; Budapest, Hungary, pages 137–142, 2014. [ bib | DOI | url | pdf ]
[51] Th. Kopinski, S. Geisler, L.-C. Caron, A. Gepperth, and U. Handmann. A real-time applicable 3D gesture recognition system for Automobile HMI. In IEEE Conference on Intelligent Transportation Systems (ITSC 2014), pages 2616–2622, Qingdao, China, 2014. [ bib | DOI | url | pdf ]
[50] Th. Kopinski, S. Geisler, and U. Handmann. Demonstrator für ein handgestenbasiertes Interaktionskonzept im Automobil. In 3. Workshop Automotive HMI; Mensch & Computer 2014 - Workshopband, pages 205–210. De Gruyter Oldenbourg, Berlin, Germany, 2014. [ bib | DOI | url | pdf ]
[49] Th. Kopinski, A. Gepperth, S. Geisler, and U. Handmann. Neural network based data fusion for hand pose recognition with multiple ToF sensors. In Lecture Notes in Computer Science: Artificial Neural Networks and Machine Learning - ICANN 2014, volume 8681, pages 233–240. Springer Verlag, Berlin, Heidelberg, Germany, 2014. [ bib | DOI | url | pdf ]
[48] Th. Kopinski, D. Malysiak, A. Gepperth, and U. Handmann. Time-of-flight based multi-sensor fusion strategies for hand gesture recognition. In 15th IEEE International Symposium on Computational Intelligence and Informatics; Budapest, Hungary, pages 243–248, 2014. [ bib | DOI | url | pdf ]
[47] D. Malysiak and U. Handmann. An efficient framework for distributed computing in heterogeneous beowulf clusters and cluster-management. In 15th IEEE International Symposium on Computational Intelligence and Informatics; Budapest, Hungary, pages 169–178, 2014. [ bib | DOI | url | pdf ]
[46] D. Malysiak and U. Handmann. An algorithmic skeleton for massively parallelized mean shift computation with applications to GPU architectures. In 15th IEEE International Symposium on Computational Intelligence and Informatics; Budapest, Hungary, pages 109–116, 2014. [ bib | DOI | url | pdf ]
[45] A. Rabie and U. Handmann. NFC-based person-specific medical assistant for elderly and disabled people. In International Conference on Next Generation Computing and Communication Technologies 2014, pages 238–243, Dubai, UAE, 2014. [ bib | pdf ]
[44] A. Rabie and U. Handmann. NFC-based person-specific assisting system in home environment - case study: Medical assistant for elderly and disabled people. In 11th World Congress on Intelligent Control and Automation (WCICA 2014), pages 5404–5409, Shenyang, China, 2014. [ bib | DOI | url | pdf ]
[43] A. Rabie and U. Handmann. Multimodal biometrics for real-life person-specific emotional human-robot-interaction. In IEEE International Conference on Robotics and Biomimetics 2014 (ROBIO 2014), pages 344–349, Bali, Indonesia, 2014. [ bib | DOI | url | pdf ]
[42] A. Siddiqui, O. Koch, A. Rabie, and U. Handmann. Personalized and adaptable mhealth architecture. In 4th International Conference on Wireless Mobile Communication and Healthcare - 'Transforming healthcare through innovations in mobile and wireless technologies' (MOBIHEALTH 2014), pages 381 – 384, Athens, Greece, 2014. [ bib | DOI | url | pdf ]
[41] S. Hommel, D. Malysiak, and U. Handmann. Model of human clothes based on saliency maps. In 14th IEEE International Symposium on Computational Intelligence and Informatics; Budapest, Hungary, pages 551 – 556, 2013. [ bib | DOI | url | pdf ]
[40] S. Hommel, A. Rabie, and U. Handmann. Attention and emotion based adaption of dialog systems. In Intelligent Systems: Models and Applications, Topics in Intelligent Engineering and Informatics, volume 3 (4), pages 215–235. Springer Verlag, Berlin, Heidelberg, Germany, 2013. [ bib | DOI | url | pdf ]
[39] Th. Kopinski, S. Geisler, and U. Handmann. Contactless interaction for automotive applications. In 2. Workshop Automotive HMI; Mensch & Computer 2013 - Workshopband, pages 87–94, Bremen, Germany, 2013. Oldenbourg Verlag. [ bib | url | pdf ]
[38] M.A. Grimm, S. Hommel, U. Handmann, V. Voges, and U. Weigmann. Multi-camera human tracking at airports based on an intelligent system architecture (poster). In 7. Future Security, Bonn, Germany, 2012. [ bib | pdf ]
[37] M.A. Grimm, S. Hommel, U. Handmann, V. Voges, and U. Weigmann. Intelligent support of video surveillance at airports (poster). In 7. Future Security, Bonn, Germany, 2012. [ bib | pdf ]
[36] U. Handmann, S. Hommel, M. Brauckmann, and M. Dose. Face detection and person identification on mobile platforms. In Towards Service Robots for Everyday Environments - Springer Tracts in Advanced Robotics (STAR), volume 76, pages 227–234. Springer Verlag, Berlin, Heidelberg, Germany, 2012. [ bib | DOI | url | pdf ]
[35] S. Hommel, M.A. Grimm, U. Handmann, V. Voges, and U. Weigmann. An intelligent system architecture for multi-camera human tracking at airports. In 13th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary, pages 175 – 180, 2012. [ bib | DOI | url | pdf ]
[34] V. Voges, S. Hommel, M Grimm, and U. Handmann. Die Richtung lässt auf das Verhalten schließen. SECURITYinsight, pages 38–40, 2012. [ bib | pdf ]
[33] S. Hommel and U. Handmann. AAM based continuous facial expression recognition for face image sequences. In Proceedings of 12th IEEE International Symposium on Computational Intelligence and Informatics, Budapest, Hungary, pages 189 – 194, 2011. [ bib | DOI | url | pdf ]
[32] S. Hommel and U. Handmann. Realtime AAM based user attention estimation. In Proceedings of 9th IEEE International Symposium on Intelligent Systems and Informatics, Subotica, Serbia, pages 201 – 206, 2011. [ bib | DOI | url | pdf ]
[31] A. Rabie and U. Handmann. Fusion of audio- and visual cues for real-life emotional human robot interaction. In Pattern Recognition - 33rd DAGM Symposium; Lecture Notes in Computer Sciences Number 6835, pages 346–355. Springer Verlag, Berlin, Heidelberg, Germany, 2011. [ bib | DOI | url | pdf ]
[30] G. v.Wichert, C. Klimowicz, W. Neubauer, Th. Wösch, G. Lawitzky, R. Caspari, H.-J. Heger, P. Witschel, U. Handmann, and M. Rinne. The robotic bar - an integrated demonstration of a robotic assistant. In Advances in Human-Robot Interaction - Springer Tracts in Advanced Robotics (STAR), volume 14, pages 359–370. Springer Verlag, Berlin, Heidelberg, Germany, 2005. [ bib | DOI | url | pdf ]
[29] S. Wiegand, C. Igel, and U. Handmann. Evolutionary multi-objective optimization of neural networks for face detection. International Journal of Computational Intelligence and Applications, 4(3):237–253, 2004. [ bib | DOI | url | pdf ]
[28] S. Wiegand, C. Igel, and U. Handmann. Evolutionary optimization of neural networks for face detection. In ESANN 2004, 12th European Symposium on Artificial Neural Networks, Bruges, Belgium, Proceedings, pages 139–144, 2004. [ bib | url | pdf ]
[27] G. v.Wichert, C. Klimowicz, W. Neubauer, Th. Wösch, G. Lawitzky, R. Caspari, H.-J. Heger, P. Witschel, U. Handmann, and M. Rinne. The robotic bar - an integrated demonstration of man-robot interaction in a service scenario. In 11th IEEE International Workshop on Robot and Human Communication, Berlin, Germany, Proceedings, pages 374–379, 2002. [ bib | DOI | url | pdf ]
[26] H. Edelbrunner, U. Handmann, C. Igel, I. Leefken, and W. von Seelen. Application and optimization of neural field dynamics for driver assistance. In IEEE Conference on Intelligent Transportation Systems '01, Oakland, California, USA, Proceedings, pages 309 – 314, 2001. [ bib | DOI | url | pdf ]
[25] W. v.Seelen, J. Gayko, U. Handmann, and T. Kalinke. Scene analysis and organization of behavior in driver assistance systems. In International Conference on Image Processing; IEEE Signal Processing Society, Vancouver, Canada, Proceedings, volume 3, pages 524–527, 2000. [ bib | DOI | url | pdf ]
[24] U. Handmann. Bewegungssteuerung autonomer Fahrzeuge mit neuronalen Feldern. In Mustererkennung 2000, pages 341–348, Berlin, Heidelberg, Germany, 2000. Springer Verlag. [ bib | DOI | url | pdf ]
[23] U. Handmann. Neuronale Informationsverarbeitung für Fahrerassistenzsysteme. Logos-Verlag, Berlin, Germany, 2000. [ bib | url ]
[22] U. Handmann. Neuronale Informationsverarbeitung für Fahrerassistenzsysteme. PhD thesis, Institut für Neuroinformatik, Lehrstuhl Theoretische Biologie, Ruhr-Universität, Bochum, 2000. [ bib | pdf ]
[21] U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. v.Seelen. An image processing system for driver assistance. Image and Vision Computing, Elsevier Science, 18(5):367–376, 2000. [ bib | DOI | url | pdf ]
[20] U. Handmann and I. Leefken. Scene interpretation and behavior planning for driver assistance. In Proceedings of SPIE Vol. 4023, Enhanced and Synthetic Vision 2000, Orlando, USA, pages 201–212, 2000. [ bib | DOI | url | pdf ]
[19] U. Handmann, I. Leefken, and C. Goerick. Analysis of dynamic scenes. In International Archives of Photogrammetry and Remote Sensing (IAPRS) - XIXth Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS), volume XXXIII, part B5/1, pages 347–354, 2000. [ bib | url | pdf ]
[18] U. Handmann, I. Leefken, A. Steinhage, and W. v.Seelen. Behavior planning for driver assistance using neural field dynamics. In Second International Symposium `Neural Computation', Berlin, Germany, 2000. [ bib | url | pdf ]
[17] U. Handmann, I. Leefken, and C. Tzomakas. A flexible architecture for intelligent cruise control. In IEEE Conference on Intelligent Transportation Systems '99, Tokyo, Japan, Proceedings, pages 958 – 963, 1999. [ bib | DOI | url | pdf ]
[16] U. Handmann, I. Leefken, and C. Tzomakas. A flexible architecture for driver assistance. In Proceedings of SPIE Vol. 3838, Mobile Robots XIV 2, International Symposium on Intelligent Systems and Advanced Manufacturing, Conference 'Intelligent Transportation Systems", Boston, USA, pages 2 – 11, 1999. [ bib | DOI | url | pdf ]
[15] U. Handmann, I. Leefken, and C. Tzomakas. Eine flexible Architektur für Fahrerassistenzsysteme. In Mustererkennung 1999, Informatik aktuell, pages 36–43, Berlin, Heidelberg, Germany, 1999. Springer Verlag. [ bib | DOI | url | pdf ]
[14] U. Handmann, I. Leefken, and C. Tzomakas. A flexible architecture for driver assistance systems. In Lecture Notes in Artificial Intelligence: KI'99, Berlin, Heidelberg, Springer Verlag, Germany, pages 281–284, 1999. [ bib | DOI | url | pdf ]
[13] U. Handmann, I. Leefken, C. Tzomakas, W. v.Seelen, and C. Goerick. Analyse dynamischer Szenen. In 19. Wissenschaftlich - Technische Jahrestagung der DGPF, Photogrammetrie und Fernerkundung - Neue Sensoren, neue Anwendungen, pages 227–234, Essen, Germany, 1999. [ bib | url | pdf ]
[12] W. v.Seelen, U. Handmann, T. Kalinke, C. Tzomakas, and M. Werner. Image processing for driver assistance. In Mustererkennung 1998, Informatik aktuell, pages 11– 22, Berlin, Heidelberg, Germany, 1998. Springer Verlag. [ bib | DOI | url | pdf ]
[11] U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. v.Seelen. An image processing system for driver assistance. In IEEE International Conference on Intelligent Vehicles '98, Stuttgart, Germany, Proceedings, pages 481–486, 1998. [ bib | url | pdf ]
[10] U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, and W. v.Seelen. Computer vision for driver assistance systems. In Proceedings of SPIE Vol. 3364, Session Enhanced and Synthetic Vision, Orlando, USA, pages 136–147, 1998. [ bib | DOI | url | pdf ]
[9] U. Handmann, G. Lorenz, and W. v.Seelen. Fusion von Basisalgorithmen zur Segmentierung von Straßenverkehrsszenen. In Mustererkennung 1998, pages 101–108, Berlin, Heidelberg, Germany, 1998. Springer Verlag. [ bib | DOI | url | pdf ]
[8] U. Handmann, G. Lorenz, T. Schnitger, and W. v.Seelen. Fusion of different sensors and algorithms for segmentation. In IEEE International Conference on Intelligent Vehicles '98, Stuttgart, Germany, Proceedings, pages 499–504, 1998. [ bib | url | pdf ]
[7] R. Wertheimer, U. Handmann, T. Kalinke, C. Tzomakas, M. Werner, W. v.Seelen, M. Baur, T. Schumm, M. Schanz, T. Eckart, C. Nitta, B.J. Hosticka, R. Wagner, F. Liu, K. Donner, J. Haas, O. Ehrmann, K. Buschick, G. Chmiel, A. Paredes, V. Glaw, and H. Reichl. Ein hochsprachenprogrammierbares System zur Vollbildauswertung im Videotakt: Anwendungen zur Interpretation monokularer, semi-strukturierter Bildfolgen bei natürlicher Beleuchtung und schnell bewegter Kamera. In Mustererkennung 1998, pages 37–65, Berlin, Heidelberg, Germany, 1998. Springer Verlag. [ bib | DOI | url | pdf ]
[6] U. Handmann and T. Kalinke. Fusion of texture and contour based methods for object recognition. In IEEE Conference on Intelligent Transportation Systems '97, Boston, USA, Proceedings, pages 876–881, 1997. [ bib | DOI | url | pdf ]
[5] N. Chateau, X. Regal, M. Bodden, and U. Handmann. The effect of noise on directional bands. ACUSTICA-acta acustica, 82(1):210, 1996. [ bib | pdf ]
[4] S. Meunier, G. Canevet, M. Bodden, J. Grabke, and U. Handmann. Auditory adaptation and localization: Effect of frequency and bandwith. ACUSTICA-acta acustica, 82(1):215, 1996. [ bib | pdf ]
[3] U. Handmann. Untersuchungen über die Erstellbarkeit einer instrumentellen Messtechnik zur Vorhersage psychoakustischer Analysen. Diplomarbeit, Lehrstuhl für Allgemeine Elektrotechnik und Akustik, Ruhr-Universität, Bochum, 1995. [ bib | pdf ]
[2] U. Handmann and M. Bodden. Psychoakustische Untersuchungen an Fahrzeuginnengeräuschen. In Fortschritte der Akustik DAGA 95, Saarbrücken, Germany, pages 879–882. Arnold, W. and Hirsekorn, S., 1995. [ bib | url | pdf ]
[1] U. Handmann. Entwicklung eines interruptfähigen, symmetrischen I2C-Bus-Interface zum Anschluss an einen Mikroprozessor. Diplomarbeit, Fachbereich Nachrichtentechnik, Berufsakademie Stuttgart, 1991. [ bib | pdf ]