Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings.

Autor: Zanoletti M; National Research Council, Institute of Clinical Physiology, 56124 Pisa, Italy.; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Bufano P; National Research Council, Institute of Clinical Physiology, 56124 Pisa, Italy.; Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, 56126 Pisa, Italy., Bossi F; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Di Rienzo F; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Marinai C; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Rho G; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Vallati C; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Carbonaro N; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Greco A; Department Information Engineering, University of Pisa, 56122 Pisa, Italy., Laurino M; National Research Council, Institute of Clinical Physiology, 56124 Pisa, Italy., Tognetti A; Department Information Engineering, University of Pisa, 56122 Pisa, Italy.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 May 17; Vol. 24 (10). Date of Electronic Publication: 2024 May 17.

Characterization of Hand Movements using a Sensing Glove in Hand Assisted Laparoscopic Surgery.

Autor: Santos, L., Carbonaro, N., Tognetti, A., González, L., Fraile, J. C., Turiel, J. P., de la Fuente, E.

Publikováno v: ACM International Conference Proceeding Series; 11/12/2017, p63-67, 5p

Neuro-Fuzzy Physiological Computing to Assess Stress Levels in Virtual Reality Therapy

Autor: Tartarisco, G., Carbonaro, N., Tonacci, A., Bernava, G. M., Arnao, A., Crifaci, G., Cipresso, P., Riva, G., Gaggioli, A., De Rossi, D., Tognetti, A., Pioggia, G.

Publikováno v: Interacting with computers 27 (2015): 521–533. doi:10.1093/iwc/iwv010
info:cnr-pdr/source/autori:Tartarisco, G.; Carbonaro, N.; Tonacci, A.; Bernava, G. M.; Arnao, A.; Crifaci, G.; Cipresso, P.; Riva, G.; Riva, G.; Gaggioli, A.; Gaggioli, A.; De Rossi, D.; Tognetti, A.; Pioggia, G./titolo:Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy/doi:10.1093%2Fiwc%2Fiwv010/rivista:Interacting with computers/anno:2015/pagina_da:521/pagina_a:533/intervallo_pagine:521–533/volume:27

This paper reports the design and assessment of a neuro-fuzzy model to support clinicians during virtual reality therapy. The implemented model is able to automatically recognize the perceived stress levels of the patients by analyzing physiological

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0af48946a82c5ffb040a0564c5d80a31
https://doi.org/10.1093/iwc/iwv010

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Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life.

Autor: Carbonaro N; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy.; Research Center E. Piaggio, University of Pisa, 56124 Pisa, Italy., Arcarisi L; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy., Marinai C; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy., Laurino M; National Research Council, Institute of Clinical Physiology, 56124 Pisa, Italy., Di Rienzo F; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy., Vallati C; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy., Tognetti A; Department of Information Engineering, University of Pisa, 56124 Pisa, Italy.; Research Center E. Piaggio, University of Pisa, 56124 Pisa, Italy.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Feb 24; Vol. 22 (5). Date of Electronic Publication: 2022 Feb 24.