Uwe Handmann
Papers
8
Total Citations
58
H-Index
5
About
Uwe Handmann is a leading researcher in human-robot interaction, specializing in emotion recognition, biometrics, and adaptive dialog systems. His work focuses on enabling robots to understand and respond to human emotional states in real-world environments, particularly in home and mobile settings. Handmann pioneered the use of Active Appearance Models (AAMs) for continuous facial expression recognition, allowing systems to classify seven basic emotions from image sequences in real time. He further advanced multimodal fusion by combining audio and visual cues for more robust emotional human-robot interaction, as demonstrated in his 2011 paper on real-life emotional HRI (11 citations). His contributions extend to biometrics for personalized smart home and robotic assistance, with key works on face detection for mobile platforms (11 citations) and attention-based adaptation of dialog systems (8 citations). Handmann’s research has been cited over 50 times, reflecting its impact on affective computing and assistive robotics. Notably, his "Robotic Bar" demonstration (2004) showcased an integrated robotic assistant, highlighting his commitment to practical, real-life applications of emotion-aware technology.
Research Focus
Key Achievements
Top Papers
- 1AAM based continuous facial expression recognition for face image sequences13 citations · 2011
- 2
- 3Face Detection and Person Identification on Mobile Platforms11 citations · 2012
- 4Attention and Emotion Based Adaption of Dialog Systems8 citations · 2012
- 5
- 6Biometrie for home environment challenges, modalities and applications4 citations · 2015
- 7Realtime AAM based user attention estimation3 citations · 2011
- 8The Robotic Bar – An Integrated Demonstration of a Robotic Assistant2 citations · 2004