| Body movements for affective expression: A survey of automatic recognition and generation M Karg, AA Samadani, R Gorbet, K Kühnlenz, J Hoey, D Kulić IEEE Transactions on Affective Computing 4 (4), 341-359, 2013 | 274 | 2013 |
| Recognition of affect based on gait patterns M Karg, K Kühnlenz, M Buss IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010 | 189 | 2010 |
| 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 | 115 | 2016 |
| NightOwls: A Pedestrians at Night Dataset L Neumann, M Karg, S Zhang, C Scharfenberger, E Piegert, S Mistr, ... Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 110 | 2019 |
| Learn2perturb: an end-to-end feature perturbation learning to improve adversarial robustness A Jeddi, MJ Shafiee, M Karg, C Scharfenberger, A Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 86 | 2020 |
| Human movement analysis as a measure for fatigue: A hidden Markov-based approach M Karg, G Venture, J Hoey, D Kulić IEEE transactions on neural systems and rehabilitation engineering 22 (3 …, 2014 | 66 | 2014 |
| Towards the detection of unusual temporal events during activities using hmms SS Khan, ME Karg, J Hoey, D Kulic Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 1075-1084, 2012 | 51 | 2012 |
| Movement analysis of rehabilitation exercises: Distance metrics for measuring patient progress R Houmanfar, M Karg, D Kulić IEEE Systems Journal 10 (3), 1014-1025, 2014 | 50 | 2014 |
| A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics M Karg, R Jenke, W Seiberl, K Kühnlenz, A Schwirtz, M Buss 2009 3rd International Conference on Affective Computing and Intelligent …, 2009 | 44 | 2009 |
| Rhythmic extended Kalman filter for gait rehabilitation motion estimation and segmentation V Joukov, V Bonnet, M Karg, G Venture, D Kulić IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (2 …, 2017 | 42 | 2017 |
| Online tracking of the lower body joint angles using IMUs for gait rehabilitation V Joukov, M Karg, D Kulic 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 39 | 2014 |
| Detecting falls with x-factor hidden markov models SS Khan, ME Karg, D Kulić, J Hoey Applied Soft Computing 55, 168-177, 2017 | 35 | 2017 |
| Clinical gait analysis: comparing explicit state duration HMMs using a reference-based index M Karg, W Seiberl, F Kreuzpointner, JP Haas, D Kulić IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (2 …, 2014 | 28 | 2014 |
| Saliency-guided region proposal network for CNN based object detection AK Fattal, M Karg, C Scharfenberger, J Adamy 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 24 | 2017 |
| X-factor HMMs for detecting falls in the absence of fall-specific training data SS Khan, ME Karg, D Kulić, J Hoey Ambient Assisted Living and Daily Activities: 6th International Work …, 2014 | 22 | 2014 |
| Towards mapping emotive gait patterns from human to robot M Karg, M Schwimmbeck, K Kühnlenz, M Buss 19th International Symposium in Robot and Human Interactive Communication …, 2010 | 22 | 2010 |
| A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking. M Karg, R Jenke, K Kühnlenz, M Buss MLDM posters, 51-61, 2009 | 22 | 2009 |
| Expression and automatic recognition of exhaustion in natural walking M Karg, K Kühnlenz, M Buss, W Seiberl, F Tusker, M Schmeelk, ... IADIS Int. Conf. Interfaces and Human Computer Interaction (IHCI), 165-172, 2008 | 18 | 2008 |
| Imu based single stride identification of humans T Zhang, M Karg, JFS Lin, D Kulic, G Venture 2013 IEEE RO-MAN, 220-225, 2013 | 17 | 2013 |
| Rhythmic EKF for pose estimation during gait V Joukov, V Bonnet, M Karg, G Venture, D Kulić 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015 | 16 | 2015 |
Dana KulićProfessor, Monash University在 monash.edu 的电子邮件经过验证
