Responsibilities
Head of Institute for Human-Machine Communication, Technische Universität München
Contact
Institute for Human-Machine Communication
Arcisstraße 21
D-80333 Munich
Phone:
+49 (0)89 / 289-28542
Fax:
+49 (0)89 / 289-28535
Email:
mmk@ei.tum.de
Website:
http://www.mmk.ei.tum.de
Further Information
Research focus: Human-machine communication, speech and handwriting, emotion recognition, multimedia information processing, pattern recognition, gesture recognition, face detection and identification, person tracking, user interfaces, interactive computer graphics
Key words: Artificial neural networks, machine learning, deep learning
Selected publications:
Kroschel K, Rigoll G and Schuller B. (2011) Statistische Informationstechnik: Signal- und Mustererkennung, Parameter- und Signalschätzung. Springer-Verlag.
Rigoll G, Schuller B, Müller R, Ablassmeier M, Reifinger S and Poitschke T. (2005) Speech Communication and Multimodal Interfaces. In: Advanced Man-Machine Interaction (Kraiss KF, eds). pp 141–190, Interaction, Springer.
Rigoll G, Breit H and Wallhoff F. (2004) Robust tracking of persons in real-world scenarios using a statistical computer vision approach. Image and Vision Computing 22(7): 571–582.
Rigoll G. (2001) Combination of Hidden Markov Models and Neural Networks for Hybrid Statistical Pattern Recognition. In: Hybrid Methods in Pattern Recognition (Kandel, Bunke, eds). pp 113–143.
Eickeler S, Müller S and Rigoll G. (2000) Recognition of JPEG Compressed Face Images Based on Statistical Methods. Image and Vision Computing (Special Issue on Facial Image Analysis) 18(4): 279–287.