| Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots C Bartneck, D Kulić, E Croft, S Zoghbi International journal of social robotics 1 (1), 71-81, 2009 | 1387 | 2009 |
| Incremental learning, clustering and hierarchy formation of whole body motion patterns using adaptive hidden markov chains D Kulić, W Takano, Y Nakamura The International Journal of Robotics Research 27 (7), 761-784, 2008 | 242 | 2008 |
| Incremental learning of full body motion primitives and their sequencing through human motion observation D Kulić, C Ott, D Lee, J Ishikawa, Y Nakamura The International Journal of Robotics Research 31 (3), 330 - 345, 2012 | 214 | 2012 |
| Affective state estimation for human–robot interaction D Kulic, EA Croft IEEE Transactions on Robotics 23 (5), 991-1000, 2007 | 213 | 2007 |
| Pre-collision safety strategies for human-robot interaction D Kulić, E Croft Autonomous Robots 22 (2), 149-164, 2007 | 201 | 2007 |
| Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks TT Um, FMJ Pfister, D Pichler, S Endo, M Lang, S Hirche, U Fietzek, ... Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 184 | 2017 |
| Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation M Karg, A Samadani, R Gorbet, K Kuhnlenz, J Hoey, D Kulic IEEE Transactions on Affective Computing 4 (4), 341-359, 2013 | 178 | 2013 |
| Safe planning for human‐robot interaction D Kulić, EA Croft Journal of Robotic Systems 22 (7), 383-396, 2005 | 159 | 2005 |
| Measuring the anthropomorphism, animacy, likeability, perceived intelligence and perceived safety of robots C Bartneck, E Croft, D Kulic University of Hertfordshire, 2008 | 144 | 2008 |
| Real-time safety for human–robot interaction D Kulić, EA Croft Robotics and Autonomous Systems 54 (1), 1-12, 2006 | 144 | 2006 |
| Online segmentation and clustering from continuous observation of whole body motions D Kulic, W Takano, Y Nakamura IEEE Transactions on Robotics 25 (5), 1158-1166, 2009 | 127 | 2009 |
| On-line segmentation of human motion for automated rehabilitation exercise analysis JFS Lin, D Kulic IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (1 …, 2014 | 102 | 2014 |
| Human pose recovery using wireless inertial measurement units JFS Lin, D Kulić Physiological measurement 33 (12), 2099 - 2115, 2012 | 96 | 2012 |
| Estimating intent for human-robot interaction D Kulić, EA Croft IEEE International Conference on Advanced Robotics, 810-815, 2003 | 76* | 2003 |
| Anxiety detection during human-robot interaction D Kulic, E Croft 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005 | 73 | 2005 |
| Physiological and subjective responses to articulated robot motion D Kulic, E Croft Robotica 25 (1), 13, 2007 | 72 | 2007 |
| An evaluation of classifier-specific filter measure performance for feature selection C Freeman, D Kulić, O Basir Pattern Recognition 48 (5), 1812-1826, 2015 | 66 | 2015 |
| Exercise motion classification from large-scale wearable sensor data using convolutional neural networks TT Um, V Babakeshizadeh, D Kulić 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 64 | 2017 |
| Movement primitive segmentation for human motion modeling: A framework for analysis JFS Lin, M Karg, D Kulić IEEE Transactions on Human-Machine Systems 46 (3), 325-339, 2016 | 58 | 2016 |
| Curiosity-based learning algorithm for distributed interactive sculptural systems MTK Chan, R Gorbet, P Beesley, D Kulič 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 56 | 2015 |
Elizabeth CroftProfessor and Dean of Engineering, Monash University; University of British Columbia (UBC)Zweryfikowany adres z monash.edu
