Robert Peter Matthew, Eric John Mica, Waiman Meinhold, Joel Alfredo Loeza, Masayoshi Tomizuka, and Ruzena Bajcsy. Introduction and initial exploration of an active/passive exoskeleton framework for portable assistance. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5351–5356. IEEE, 2015.
Robert Peter Matthew, Eric John Mica, Waiman Meinhold, Joel Alfredo Loeza, Masayoshi Tomizuka, and Ruzena Bajcsy. Initial investigation into the effect of an active/passive exoskeleton on hammer curl performance in healthy subjects. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 3607–3610. IEEE, 2015.
Robert Peter Matthew, Eric John Mica, Waiman Meinhold, Joel Alfredo Loeza, Masayoshi Tomizuka, and Ruzena Bajcsy. Preliminary tests of the active/passive exoskeleton (APEX-α). In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015.
Robert Peter Matthew, Victor Shia, Masayoshi Tomizuka, and Ruzena Bajcsy. Optimal design for individualised passive assistance. In Proceedings of the 6th Augmented Human International Conference, pages 69–76. ACM, 2015.
Robert Peter Matthew, Victor Shia, Gentiane Venture, and Ruzena Bajcsy. Generating physically realistic kinematic and dynamic models from small data sets: An application for sit-to-stand actions. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pages 2173–2178. IEEE, 2016.
Jay J Han, Evan De Bie, Alina Nicorici, Richard T Abresch, Ruzena Bajcsy, and Gregorij Kurillo. Reachable workspace reflects dynamometer-measured upper extremity strength in facioscapulohumeral muscular dystrophy. Muscle & nerve, 52(6):948–955, 2015.
Jay J Han, Gregorij Kurillo, Richard T Abresch, Evan De Bie, Alina Nicorici, and Ruzena Bajcsy. Upper extremity 3-dimensional reachable workspace analysis in dystrophinopathy using Kinect. Muscle & nerve, 52(3):344–355, 2015.
Jay J Han, Gregorij Kurillo, Richard T Abresch, Evan Bie, Alina Nicorici, and Ruzena Bajcsy. Reachable workspace in facioscapulohumeral muscular dystrophy (FSHD) by Kinect. Muscle & nerve, 51(2):168–175, 2015.
Robert Matthew, Gentiane Venture, and Ruzena Bajcsy. A geometric approach for deriving multicontact dynamic identification models. 2015.
Robert Peter Matthew, Gregorij Kurillo, Jay J Han, and Ruzena Bajcsy. Calculating reachable workspace volume for use in quantitative medicine. In European Conference on Computer Vision, pages 570–583. Springer International Publishing, 2014.
Victor Shia, Robert Peter Matthew, Ram Vasudevan, and Ruzena Bajcsy. Relaxing global decrescence conditions in Lyapunov theorems for hybrid systems. IFAC Proceedings Volumes, 47(3):5998–6006, 2014.
Jay J Han, Gregorij Kurillo, R Ted Abresch, Alina Nicorici, and Ruzena Bajcsy. Validity, reliability, and sensitivity of a 3D vision sensor-based upper extremity reachable workspace evaluation in neuromuscular diseases. PLoS currents, 5, 2013.
Gregorij Kurillo, Alic Chen, Ruzena Bajcsy, and Jay J Han. Evaluation of upper extremity reachable workspace using Kinect camera. Technology and Health Care, 21(6):641–656, 2013.
Gregorij Kurillo, Jay J Han, Richard T Abresch, Alina Nicorici, Posu Yan, and Ruzena Bajcsy. Development and application of stereo camera-based upper extremity workspace evaluation in patients with neuromuscular diseases. PloS one, 7(9):e45341, 2012.
David Anton, Gregorij Kurillo, Alfredo Goñi, Arantza Illarramendi, and Ruzena Bajcsy. Real-time communication for Kinect-based telerehabilitation. In Future Generation Computer Systems, 75, pages 72-81, October 2017.
David Anton, Gregorij Kurillo, Allen Y Yang, and Ruzena Bajcsy. Augmented telemedicine platform for real-time remote medical consultation. In International Conference on Multimedia Modeling, pages 77–89. Springer, 2017.
Gregorij Kurillo, Allen Y Yang, Victor Shia, Aaron Bair, and Ruzena Bajcsy. New emergency medicine paradigm via augmented telemedicine. In International Conference on Virtual, Augmented and Mixed Reality, pages 502–511. Springer, 2016.
Ferda Ofli, Gregorij Kurillo, Štěpán Obdržálek, Ruzena Bajcsy, Holly Brugge Jimison, and Misha Pavel. Design and evaluation of an interactive exercise coaching system for older adults: Lessons learned. IEEE journal of biomedical and health informatics, 20(1):201–212, 2016.
Qifei Wang, Gregorij Kurillo, Ferda Ofli, and Ruzena Bajcsy. Evaluation of pose tracking accuracy in the first and second generations of Microsoft Kinect. In IEEE International Conference on Healthcare Informatics (ICHI), pages 380–389. IEEE, 2015.
Qifei Wang, Gregorij Kurillo, Ferda Ofli, and Ruzena Bajcsy. Unsupervised temporal segmentation of repetitive human actions based on kinematic modeling and frequency analysis. In IEEE International Conference on 3D Vision (3DV), pages 562–570. IEEE, 2015.
Gregorij Kurillo, Ferda Ofli, Jennifer Marcoe, Paul Gorman, Holly Jimison, Misha Pavel, and Ruzena Bajcsy. Multi-disciplinary design and in-home evaluation of Kinect-based exercise coaching system for elderly. In International Conference on Human Aspects of IT for the Aged Population, pages 101–113. Springer, 2015.
Gregorij Kurillo, Jay J Han, Alina Nicorici, and Ruzena Bajcsy. Tele-MFAsT: Kinect-based tele-medicine tool for remote motion and function assessment. Stud Health Technol Inform, 196:215–221, 2014.
Štěpán Obdržálek, Gregorij Kurillo, Edmund Seto, and Ruzena Bajcsy. Architecture of an automated coaching system for elderly population. Studies in health technology and informatics, 184:309, 2013.
Daniel Aranki, Gregorij Kurillo, and Ruzena Bajcsy. Smartphone Based Real-Time Health Monitoring and Intervention. Handbook of Large-Scale Distributed Computing in Smart Healthcare, pages 473-514. Springer, 2017.
Daniel Aranki, Uma Balakrishnan, Hannah Sarver, Lucas Serven, Carlos Asuncion, Kaidi Du, Caitlin Gruis, Gao Xian Peh, Yu Xiao and Ruzena Bajcsy. RunningCoach – Cadence Training System for Long-Distance Runners. In EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). EAI, 2017.
Daniel Aranki, Gregorij Kurillo, Adarsh Mani, Phillip Azar, Jochem Van Gaalen, Quan Peng, Priyanka Nigam, Maya P Reddy, Sneha Sankavaram, Qiyin Wu, et al. A telemonitoring framework for android devices. In IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pages 282–291. IEEE, 2016.
Uma Balakrishnan, Carlos Asuncion, Hannah Sarver, Lucas Serven, Eugene Song, Ruzena Bajcsy, Daniel Aranki, and Ali Javey. A telemonitoring solution to long-distance running coaching. 2016.
Daniel Aranki, Gregorij Kurillo, Posu Yan, David M Liebovitz, and Ruzena Bajcsy. Real-time tele-monitoring of patients with chronic heart-failure using a smartphone: Lessons learned. 2016.
Daniel Aranki and Ruzena Bajcsy. Private disclosure of information in health tele-monitoring. arXiv preprint arXiv:1504.07313, 2015.
Daniel Aranki, Gregorij Kurillo, Posu Yan, David M Liebovitz, and Ruzena Bajcsy. Continuous, real-time tele-monitoring of patients with chronic heart-failure: Lessons learned from a pilot study. In Proceedings of the 9th International Conference on Body Area Networks, pages 135–141. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2014.
Vijay Govindarajan, Katherine Driggs-Campbell, and Ruzena Bajcsy. Balancing Robustness and Utility in Reachability Analysis for Human-in-the-Loop Systems. In IEEE Conference on Decision and Control (CDC). IEEE, 2017.
Katherine Driggs-Campbell, Vijay Govindarajan, and Ruzena Bajcsy. Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers. In Special Edition Transactions on Intelligent Transportation Systems: Applications and Systems for Collaborative Driving, pages 1-12. IEEE, 2017.
Tara Rezvani, Katherine Driggs-Campbell, and Ruzena Bajcsy. Optimizing Interaction Between Humans and Autonomy via Information Constraints on Interface Design. In IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017.
Katherine Driggs Campbell and Ruzena Bajcsy. Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction. 2017.
Tara Rezvani, Katherine Driggs-Campbell, Dorsa Sadigh, S Shankar Sastry, Sanjit A Seshia, and Ruzena Bajcsy. Towards trustworthy automation: User interfaces that convey internal and external awareness. In IEEE International Conference on Intelligent Transportation Systems (ITSC), pages 682–688. IEEE, 2016.
Katherine Driggs-Campbell and Ruzena Bajcsy. Communicating intent on the road through human-inspired control schemes. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3042–3047. IEEE, 2016.
Katherine Driggs-Campbell and Ruzena Bajcsy. Comparing datasets for generalizing models of driver intent in dynamic environments. In IEEE Intelligent Vehicles Symposium (IV), pages 1404–1409. IEEE, 2016.
Chi-Pang Lam, Allen Y Yang, Katherine Driggs-Campbell, Ruzena Bajcsy, and S Shankar Sastry. Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5776–5783. IEEE, 2015.
Katherine Driggs-Campbell and Ruzena Bajcsy. Identifying modes of intent from driver behaviors in dynamic environments. In IEEE International Conference on Intelligent Transportation Systems (ITSC), pages 739–744. IEEE, 2015.
Katherine Driggs-Campbell, Victor Shia, and Ruzena Bajcsy. Improved driver modeling for human-in-the-loop vehicular control. In IEEE International Conference on Robotics and Automation (ICRA), pages 1654–1661. IEEE, 2015.
Katherine Driggs Campbell and Ruzena Bajcsy. Experimental design for human-in-the-loop driving simulations. 2015.
Victor A Shia, Yiqi Gao, Ramanarayan Vasudevan, Katherine Driggs Campbell, Theresa Lin, Francesco Borrelli, and Ruzena Bajcsy. Semiautonomous vehicular control using driver modeling. IEEE Transactions on Intelligent Transportation Systems, 15(6):2696–2709, 2014.
Victor Shia. Real-time safe semi-autonomous control with driver modeling. 2014.
Katherine Rose Driggs-Campbell, Victor Shia, and Ruzena Bajcsy. Decisions for autonomous vehicles: integrating sensors, communication, and control. In Proceedings of the 3rd International Conference on High Confidence Networked Systems, pages 59–60. ACM, 2014.
Dorsa Sadigh, Katherine Driggs-Campbell, Ruzena Bajcsy, S Shankar Sastry, and Sanjit Seshia. User interface design and verification for semi-autonomous driving. In Proceedings of the 3rd International Conference on High Confidence Networked Systems, pages 63–64. ACM, 2014.
Katherine Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S Shankar Sastry, and Ruzena Bajcsy. Experimental design for human-in-the-loop driving simulations. arXiv preprint arXiv:1401.5039, 2014.
Dorsa Sadigh, Katherine Driggs-Campbell, Alberto Puggelli, Wenchao Li, Victor Shia, Ruzena Bajcsy, Alberto L Sangiovanni-Vincentelli, S Shankar Sastry, and Sanjit A Seshia. Data-driven probabilistic modeling and verification of human driver behavior. Formal Verification and Modeling in Human-Machine Systems, 2014.
K Driggs-Campbell, V Shia, R Vasudevan, F Borrelli, and R Bajcsy. Probabilistic driver models for semiautonomous vehicles. Digital Signal Processing for In-Vehicle Systems, 2013.
Ninghang Hu, Aaron Bestick, Gwenn Englebienne, Ruzena Bajscy, and Ben Kröse. Human intent forecasting using intrinsic kinematic constraints. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 787–793. IEEE, 2016.
Aaron Bestick, Ruzena Bajcsy, and Anca D Dragan. Implicitly assisting humans to choose good grasps in robot to human handovers. In International Symposium on Experimental Robotics (ISER). 2016.
Aaron M Bestick, Samuel A Burden, Giorgia Willits, Nikhil Naikal, S Shankar Sastry, and Ruzena Bajcsy. Personalized kinematics for human-robot collaborative manipulation. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1037–1044. IEEE, 2015.
Aaron Bestick, Lillian J Ratliff, Posu Yan, Ruzena Bajcsy, and S Shankar Sastry. An inverse correlated equilibrium framework for utility learning in multiplayer, noncooperative settings. In Proceedings of the 2nd International Conference on High Confidence Networked Systems, pages 9–16. ACM, 2013.
Laura Hallock, Akira Kato, and Ruzena Bajcsy. Empirical quantification and modeling of muscle deformation: Toward ultrasound-driven assistive device control. In IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018.
Laura Hallock, Robert Matthew, Sarah Seko, and Ruzena Bajcsy. Sensor-driven musculoskeletal dynamic modeling. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. (poster)
Laura Hallock, Robert Matthew, Sarah Seko, and Ruzena Bajcsy. Sensor-driven musculoskeletal dynamic modeling. 2016.
