By Albert Ali Salah, Bruno Lepri, Fabio Pianesi, Alex Sandy Pentland (auth.), Albert Ali Salah, Bruno Lepri (eds.)
This e-book constitutes the refereed court cases of the second one foreign Workshop on Human habit knowing, HBU 2011, held in Amsterdam, The Netherlands, in November 2011, at the side of AmI-11, the overseas Joint convention on Ambient Intelligence.
The thirteen revised complete papers provided including 2 keynote talks and one summarizing paper have been rigorously reviewed and chosen from 32 submissions. The papers are equipped in topical sections on research of human activities and actions, face and gesture research, persuasive applied sciences, and social interactions.
Read or Download Human Behavior Understanding: Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011. Proceedings PDF
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Additional info for Human Behavior Understanding: Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011. Proceedings
Automatic fall detection based on Doppler radar motion signature. In: 5th International Conference on Pervasive Computing Technologies for Healthcare (2011) 9. : A novel ultrasonic sensing based human face recognition. In: IEEE Ultrasonics Symposium (IUS), pp. 1873–1876 (2008) 10. : Application of a continuous wave radar for human gait recognition. In: Proc. SPIE 5809, vol. 607176 11. : A method for sonar based recognition of walking people. Robotics and Autonomous Systems 25(1-2), 117–126 (1998) 12.
5 metres above Human Action Categorization Using Ultrasound Micro-Doppler Signatures 21 the ﬂoor in order to minimize the occluding surface of the treadmill. All actions were performed on top of the treadmill with the subject at the exact same distance from the recording device. The experimental setup is shown in Figure 1 (right). Ten subjects (eight males and two females) performed ﬁve trials of seven diﬀerent actions: 1) walking slowly (3 km/h), 2) walking fast (6 km/h), 3) running slowly (9 km/h), 4) running fast (12 km/h), 5) clapping hands, 6) calling “help me” while moving their arms up in the air and 7) calling “come here” while beckoning with their right arm.
In: International Conference on Computer Vision, pp. 1–8 (2007) 10. : 3D convolutional neural networks for human action recognition. In: International Conference on Machine Learning, pp. 495–502 (2010) 11. : Human Action Recognition Using a Modiﬁed Convolutional Neural Network. , Sun, C. ) ISNN 2007. LNCS, vol. 4492, pp. 715–723. Springer, Heidelberg (2007) 12. : Tensor canonical correlation analysis for action classiﬁcation. In: International Conference on Computer Vision and Pattern Recognition, pp.
Human Behavior Understanding: Second International Workshop, HBU 2011, Amsterdam, The Netherlands, November 16, 2011. Proceedings by Albert Ali Salah, Bruno Lepri, Fabio Pianesi, Alex Sandy Pentland (auth.), Albert Ali Salah, Bruno Lepri (eds.)