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PUBLISHED SCIENTIFIC PAPERS

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A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring

Di Tocco, J., Raiano, L., Sabbadini, R., Massaroni, C., Formica, D., & Schena, E. (2021).

Sensors, 21(9), 3018.

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An fMRI Compatible Smart Device for Measuring Palmar Grasping Actions in Newborns

Lo Presti, D., Dall’Orso, S., Muceli, S., Arichi, T., Neumane, S., Lukens, A., ... & Schena, E. (2020).

Sensors, 21(9), 3018.

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Clean-Breathing: a Novel Sensor Fusion Algorithm Based on ICA to Remove Motion Artifacts from Breathing Signals

Raiano, L., Di Tocco, J., Massaroni, C., Di Pino, G., Schena, E., & Formica, D. (2020, June).

2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (pp. 734-739). IEEE.

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Embodying melody through a conducting baton: a pilot comparison between musicians and non-musicians

Costantino, A., Di Stefano, N., Taffoni, F., Di Pino, G., Casale, M., & Keller, F. (2020).

Experimental Brain Research, 238(10), 2279-2291.

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A PCA-Based Method to Select the Number and the Body Location of Piezoresistive Sensors in a Wearable System for Respiratory Monitoring

Raiano, L., Di Tocco, J., Massaroni, C., Di Pino, G., Schena, E., & Formica, D. (2020).

IEEE Sensors Journal, 21(5), 6847-6855.

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Short Time Delay Does Not Hinder Haptic Communication Benefits

Ivanova, E., Eden, J., Zhu, S., Carboni, G., Yurkewich, A., & Burdet, E. (2021).

IEEE Transactions on Haptics.

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Human performance in three-hands tasks

Noccaro, A., Eden, J., Di Pino, G., Formica, D., & Burdet, E. (2021).

Scientific Reports, 11(1), 1-8.

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The dominant limb preferentially stabilizes posture in a bimanual task with physical coupling

Takagi, A., Maxwell, S., Melendez-Calderon, A., & Burdet, E. (2020).

Journal of neurophysiology, 123(6), 2154-2160.

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Flexible Assimilation of Human's Target for Versatile Human-Robot Physical Interaction

Takagi, A., Li, Y., & Burdet, E. (2020).

IEEE Transactions on Haptics.

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Improving Tracking through Human-Robot Sensory Augmentation

Li, Y., Eden, J., Carboni, G., & Burdet, E. (2020).

IEEE Robotics and Automation Letters, 5(3), 4399-4406.

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For Motion Assistance Humans Prefer to Rely on a Robot Rather Than on an Unpredictable Human

Ivanova, E., Carboni, G., Eden, J., Krüger, J., & Burdet, E. (2020).

IEEE Open Journal of Engineering in Medicine and Biology, 1, 133-139.

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Assessing the Bowing Technique in Violin Beginners Using MIMU and Optical Proximity Sensors: A Feasibility Study

Provenzale, C., Di Stefano, N., Noccaro, A., & Taffoni, F. (2021).

Sensors, 21(17), 5817.

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Interaction with a reactive partner
improves learning in contrast
to passive guidance

Ivanova, E., Eden, J., Carboni, G., Krüger, J., & Burdet, E. (2022).

Scientific reports, 12(1), 1-10.

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Adaptive Event-Triggered Control for Nonlinear Systems With Asymmetric State Constraints: A Prescribed-Time Approach

Wang, Z., Lam, H.K, Guo, Y., Xiao, B., Li, Y., Su, X., Yeatman, E.M., Burdet, E. (2022)

IEEE Transactions on Automatic Control.

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Is a Robot Needed to Modify Human Effort in Bimanual Tracking?

Perez, N. P., Eden, J., Ivanova, E., Burdet, E., & Farkhatdinov, I. (2022).

IEEE Robotics and Automation Letters, 7(3), 8069-8075.

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Visual Noise Linearly Influences Tracking Performance

Noccaro, A., Buscaglione, S., Di Pino, G., & Formica, D. (2022, July).

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 794-797). IEEE.

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A soft sensor based on FBG technology for heart rate monitoring in archery

Presti, D. L., Romano, C., Leitão, C., Massaroni, C., Formica, D., & Schena, E. (2022, June).

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.

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Cardiorespiratory monitoring using a mechanical and an optical system

Presti, D. L., Massaroni, C., Caponero, M., Formica, D., & Schena, E. (2021, June).

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.

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Wearable systems for respiratory monitoring: solutions based on strain measurements

Presti, D. L., Massaroni, C., Formica, D., & Schena, E. (2021, September).

2021 IEEE International Conference on Sensors and Nanotechnology (SENNANO) (pp. 66-69). IEEE.

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Comparison between Chest-Worn Accelerometer and Gyroscope Performance for Heart Rate and Respiratory Rate Monitoring
 

Romano, C., Schena, E., Formica, D., & Massaroni, C. (2022).

Biosensors, 12(10), 834.

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The Effect of Infill Pattern and Density on the Response of 3-D-Printed Sensors Based on FBG Technology
 

Presti, D. L., Leitão, C., Noccaro, A., Tavares, C., Massaroni, C., Caponero, M. A., ... & Schena, E. (2022).

IEEE Sensors Journal.

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A multi‑point heart rate monitoringusing a soft wearable system basedon fiber optic technology
 

Lo Presti, D., Santucci, F., Massaroni, C., Formica, D., Setola, R., & Schena, E. (2021).

Scientific reports, 11(1), 1-10.

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Evaluating Handwriting Skills through Human-Machine Interaction: A New Digitalized System for Parameter Extraction
 

Provenzale, C., Sparaci, L., Fantasia, V., Bonsignori, C., Formica, D., & Taffoni, F. (2022, July).

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5128-5131). IEEE.

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Toward a meaningful technology for instrumental music education: Teachers’ voice

Michałko, A., Campo, A., Nijs, L., Leman, M., & Van Dyck, E. (2022).

Frontiers in Education (p. 824). Frontiers.

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A review on interaction control for contact robots through intent detection

Li, Y., Sena, A., Wang, Z., Xing, X., Babic, J., van Asseldonk, E. H., & Burdet, E. (2022).

Progress in Biomedical Engineering.

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Perception and Performance of Electrical Stimulation for Proprioception

Blondin C.M., Ivanova E., Eden J. and Burdet E. (2021)

IEEE Engineering in Medicine and Biology Society (EMBC) 4550-4

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What Is Technology in Music Instrument Education Good for: A Survey for Violin and Drum Teachers on Technology Use

Aleksandra Michałko (2021)

16th International Conference on Music Perception and Cognition (ESCOM16-ICMPC11)

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Wearable Sensors to Monitor Psychophysiological Response Induced by Musical Consonance and Dissonance.

Presti, D. L., Romano, C., Massaroni, C., Di Stefano, N., Formica, D., & Schena, E. (2023)

IEEE International Workshop on Biomedical Applications, Technologies and Sensors (BATS) pp 11-15

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Foot gestures to control the grasping of a surgical robot

Cheng Y., Huang Y., Wang Z., & Burdet E. (2023)

IEEE Int Conf on Robotics and Automation (ICRA) 6844-50

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Dissociating haptic feedback from physical assistance does not improve motor performance

Ivanova E., Peña-Pérez N., Eden J., Yip Y. & Burdet E. (2023)

IIEEE Engineering in Medicine and Biology Society (EMBC)

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A virtual reality platform to evaluate the effects of supernumerary limbs’ appearance

Jiang Z., Huang Y., Eden J., Ivanova E., Cheng X. & Burdet E.(2023)

IIEEE Engineering in Medicine and Biology Society (EMBC)

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Biomechanics of Exoskeleton-Assisted Treadmill Walking

Di Tommaso F., Tagliamonte N.L. (2023)

IEEE International Conference on Rehabilitation Robotics (ICORR), RehabWeek 2023

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Evaluation of a 7-DoFs Robotic Manipulator as haptic interface during planar reaching tasks

Noccaro, A., Buscaglione, S., Pinardi, M., Di Pino, G., Burdet, E., & Formica, D. (2023).

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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Validation of Vibrotactile Feedback to Improve Selective Motor Units Recruitment

Deiana D., Pinardi M., Noccaro A., Iandoli M., Di Pino G. & Formica D. (2023)

IEEE International Symposium on Medical Measurements and Applications (MeMeA) pp. 1-5

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Design and validation of 3D printed hand interfaces for wrist stiffness assessment

Giovannetti G., Buscaglione S., Noccaro A. & Formica D. (2023)

IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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Assessment of the visual noise influence on muscle activation during a tracking task

Buscaglione S., Noccaro A., G. Di Pino and D. Formica D. (2023)

IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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Mimicking the maestro: Exploring the efficacy of a virtual ai teacher in fine motor skill acquisition

Mulian S., Shlomov S., Limonad L., Noccaro A., and Buscaglione S. (2024)

EAAI-24: The 14th Symposium on Educational Advances in Artificial Intelligence

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A multi-point heart rate monitoring using a soft wearable system based on fiber optic technology

Lo Presti, D., Santucci, F., Massaroni, C., Formica, D., Setola, R., & Schena, E. (2021)

Scientific reports, 11(1), 21162

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Interaction with a reactive partner improves learning in contrast to passive guidance

Ivanova E., Eden J., Carboni G., Krüger J. and Burdet E. (2022)

Scientific Reports 12(1): 15821

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Can Training Make Three Arms Better Than Two Heads for Trimanual Coordination?

Huang Y., Eden J., Ivanova E. and Burdet E. (2023)

IEEE Open Journal of Engineering in Medicine and Biology 4: 148-55

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Competition increases the effort put into a physical interaction task

Takagi A, Bagnato C, Melendez-Calderon A, Jarrasse N, Ganesh G and Burdet E (2023)

IEEE Trans on Haptics (in press)

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Impedance learning for human-guided robots in contact with unknown environments

Xing X., Burdet E., Si W., Yang C. and Li Y. (2023)

IEEE Transactions on Robotics 39(5): 3705-21

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Physically interacting humans regulate muscle coactivation to improve visuo-haptic perception

Börner H., Carboni G., Cheng X., Takagi A., Hirche S., Endo S. & Burdet E. (2023)

Journal of Neurophysiology 129(2): 494-9

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How virtual and mechanical coupling impact bimanual tracking

Peña-Pérez N., Eden J., Ivanova E, Farkhatdinov I. & Burdet E. (2023)

Journal of Neurophysiology 129(1): 102-14

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MC-AR-A software suite for comparative mocap analysis in an augmented reality environment

Campo, A., Van Kerrebroeck, B., & Leman, M. (2023)

Software Impacts, 100605

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Dataset for the assessment of presence and performance in an augmented reality environment for motor imitation learning: A case-study on violinists

Campo A., Michałko, A., Van Kerrebroeck, B., & Leman, M. (2023)

Data in Brief, 51

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The assessment of presence and performance in an AR environment for motor imitation learning: A case-study on violinists

Campo A., Michałko A., Van Kerrebroeck B., Stajic B., Pokric M., & Leman, M. (2023)

Computers in Human Behavior, 146

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Influence of musical context on sensorimotor synchronization in classical ballet solo dance

Talebi, M., Campo, A., Aarts, N., Leman, M. (2023)

PLOS ONE, 18

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Wrist redundancy management during pointing tasks remains stable over time and in presence of a visuomotor perturbation

Raiano, L., Noccaro, A., Di Pino, G. et al. (2023)

Scientific Report 13, 6789

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Using screen-based technologies to assess handwriting in children: a preliminary study choosing human-machine interaction

Provenzale, C., Bonsignori, C., Sparaci, L., Formica, D., & Taffoni, F. (2023)

IEEE Access

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Robot-mediated asymmetric connection between humans can improve performance without increasing effort

A. Noccaro, S. Buscaglione, J. Eden, et al. (2023)

IEEE Open Journal of Engineering in Medicine and Biology (submitted), preprint on TechRxiv

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Enhancing Human-Human Musical Interaction with Haptic Feedback and Wearable Technologies: Theoretical Foundations, Practical Scenarios, and Limitations

Michałko, A., Di Stefano N., Campo A., & Leman, M (2023)

Frontiers in Psychology. (under review)

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