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2018
L. Calabrese, Frediani, G., Gei, M., De Rossi, D., and Carpi, F., Active compression bandage made of electroactive elastomers, IEEE/ASME Transactions on Mechatronics, vol. 23, pp. 2328–2337, 2018 [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8421664
A. De Acutis, Calabrese, L., Bau, A., Tincani, V., Pugno, N. M., Bicchi, A., and De Rossi, D., Design and proof of concept for multi degree of freedom hydrostatically coupled dielectric elastomer actuators with roto-translational kinematics for object handling, Smart Materials and Structures, 2018. PDF icon de_acutis_2018_smart_mater._struct._27_074005.pdf (1.78 MB)
N. Lazzeri, Mazzei, D., Cominelli, L., Cisternino, A., and De Rossi, D., Designing the mind of a social robot, Applied Sciences, vol. 8, p. 302, 2018 [Online]. Available: https://www.mdpi.com/2076-3417/8/2/302
N. Lazzeri, Mazzei, D., Ben Moussa, M., Magnenat-Thalmann, N., and De Rossi, D., The influence of dynamics and speech on understanding humanoid facial expressions, International Journal of Advanced Robotic Systems, vol. 15, p. 1729881418783158, 2018 [Online]. Available: https://journals.sagepub.com/doi/full/10.1177/1729881418783158
N. Carbonaro, Cipresso, P., Tognetti, A., Anania, G., De Rossi, D., Pallavicini, F., Gaggioli, A., and Riva, G., Psychometric assessment of cardio-respiratory activity using a mobile platform, in Wearable Technologies: Concepts, Methodologies, Tools, and Applications, IGI Global, 2018, pp. 862–879 [Online]. Available: https://www.igi-global.com/chapter/psychometric-assessment-of-cardio-respiratory-activity-using-a-mobile-platform/201989
L. Cominelli, Mazzei, D., and De Rossi, D., SEAI: social emotional artificial intelligence based on Damasio’s theory of mind, Frontiers in Robotics and AI, vol. 5, p. 6, 2018 [Online]. Available: https://www.frontiersin.org/articles/10.3389/frobt.2018.00006/full
2015
L. Cominelli, Mazzei, D., Pieroni, M., Zaraki, A., Garofalo, R., and De Rossi, D., Damasio's Somatic Marker for Social Robotics: Preliminary Implementation and Test, in Living Machines - The 4th International Conference on Biomimetic and Biohybrid Systems, Barcelona, Spain, 28 - 31 July 2015, 2015, pp. 316-328 [Online]. Available: http://link.springer.com/chapter/10.1007/978-3-319-22979-9_31#page-1
F. Lorussi, Carbonaro, N., De Rossi, D., and Tognetti, A., Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications, in Proceedings of Wireless EAI 4th International Conference on Mobile Communication and Healthcare (Mobihealth), 2015, pp. 1-4 [Online]. Available: http://dl.acm.org/citation.cfm?id=2897477
G. Tartarisco, Carbonaro, N., Tonacci, A., Bernava, G. M., Arnao, A., Crifaci, G., Cipresso, P., Riva, G., Gaggioli, A., De Rossi, D., Tognetti, A., and Pioggia, G., Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy, INTERACTING WITH COMPUTERS, vol. 27, pp. 521–533, 2015 [Online]. Available: http://dx.medra.org/10.1093/iwc/iwv010
M. Pieroni, Wandell, B., Catrysse, P., and De Rossi, D., P2SF: Physically-based Point Spread Function for digital image processing, in Imaging Systems and Applications, 2015, p. IT3A–5.
A. Tognetti, Lorussi, F., Carbonaro, N., and De Rossi, D., Wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily-life, SENSORS, vol. 15, pp. 28435–28455, 2015 [Online]. Available: http://dx.medra.org/10.3390/s151128435
2014
A. Tognetti, Lorussi, F., Carbonaro, N., De Rossi, D., De Toma, G., Mancuso, C., Paradiso, R., Luinge, H., Reenalda, J., Droog, E., and Veltink, P., Daily-Life Monitoring of Stroke Survivors Motor Performance: The INTERACTION Sensing System, 2014.
A. Gaggioli, Cipresso, P., Serino, S., Pioggia, G., Tartarisco, G., Baldus, G., Corda, D., Ferro, M., Carbonaro, N., Tognetti, A., De Rossi, D., Giakoumis, D., Tzovaras, D., Riera, A., and Riva, G., A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure, pp. 114–120, 2014.
A. Zaraki, Mazzei, D., Giuliani, M., and De Rossi, D., Designing and Evaluating a Social Gaze-Control System for a Humanoid Robot , IEEE Transactions on Human-Machine Systems , vol. 44, no. 2, pp. 157-168, 2014.
N. Lazzeri, Mazzei, D., and De Rossi, D., Development and Testing of a Multimodal Acquisition Platform for Human-Robot Interaction Affective Studies, Journal of Human robot Interaction , vol. 3, no. 2, pp. 1-24, 2014 [Online]. Available: http://humanrobotinteraction.org/journal/index.php/HRI/article/view/142/pdf_3
F. Carpi, Frediani, G., Gerboni, C., Gemignani, J., and De Rossi, D., Enabling variable-stiffness hand rehabilitation orthoses with dielectric elastomer transducers, Medical Engineering and Physics, vol. 36, pp. 205–211, 2014.
A. Zaraki, Dehkordi, M. B., Mazzei, D., and De Rossi, D., An Experimental Eye-Tracking Study for the Design of a Context-Dependent Social Robot Blinking Model, in Living Machines 2014, Milan, Italy, July 30 – August 1, 2014, pp. 356-366 [Online]. Available: http://link.springer.com/chapter/10.1007/978-3-319-09435-9_31
M. Bianchi, Carbonaro, N., Battaglia, E., Lorussi, F., Bicchi, A., De Rossi, D., and Tognetti, A., Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition, in 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" , November 3–5, 2014 Athens, Greece, 2014. PDF icon [PDF] (4.96 MB)
N. Carbonaro, Dalle Mura, G., Lorussi, F., Paradiso, R., De Rossi, D., and Tognetti, A., Exploiting wearable goniometer technology for motion sensing gloves, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2014.
D. De Rossi and D'Ursi, A., For every thing there is a season and a time ? the construction of a humanoid. A tribute to Vincenzo Tagliasco, Frontiers in Bioengineering and Biotechnology, vol. 2, 2014 [Online]. Available: http://journal.frontiersin.org/Journal/10.3389/fbioe.2014.00019/abstract
D. Mazzei, Cominelli, L., Lazzeri, N., Zaraki, A., and De Rossi, D., I-CLIPS Brain: A Hybrid Cognitive System for Social Robots , in Living Machines 2014, Milan, Italy, July 30 – August 1, 2014, pp. 213-224 [Online]. Available: http://link.springer.com/chapter/10.1007/978-3-319-09435-9_19
A. Betella, Zucca, R., Cetnarski, A., Greco, A., Lanata, A., Mazzei, D., Tognetti, A., Arsiwalla, X. D., Omedas, P., De Rossi, D., and Verschure, P., Inference of Human Affective States from Psychophysiological Measurements Extracted under Ecologically Valid Conditions, FRONTIERS IN NEUROSCIENCE, vol. 8, 2014.
A. Betella, Pacheco, D., Zucca, R., Arsiwalla, X. D., Omedas, P., Lanata, A., Mazzei, D., Tognetti, A., Greco, A., Carbonaro, N., Wagner, J., Lingenfelser, F., Andrè, E., De Rossi, D., and Verschure, P., Interpreting Psychophysiological States Using Unobtrusive Wearable Sensors in Virtual Reality, in Proc. of The Seventh International Conference on Advances in Computer-Human Interactions, 2014.

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