@conference {3222, title = {Characterization of Hand Movements using a Sensing Glove in Hand Assisted Laparoscopic Surgery}, booktitle = {Proceedings of the second International Conference on Medical Information and Bioengineering}, year = {2017}, abstract = {

The past thirty years have seen increasingly rapid advances in the field of laparoscopic surgery, in part because of the use of robots. A well-known example is the da Vinci surgical system. However, far too little attention has been paid to Hand Assisted Laparoscopic Surgery (HALS), a surgery in which the surgeon introduces the non-dominant hand into the abdomen of the patient. The risk of collision between the hand of the surgeon and the tool moved by the robot is the reason why these robots for laparoscopic surgery are not appropriate for HALS. On the other hand, in recent years, there has been an increasing interest in wearables, which have been introduced in our daily life. This interest and the lack of surgery robots for HALS are the reasons to develop a sensing glove which co-works whit a collaborative robot in this kind of surgery. The aim of this paper is to study the use of a sensing glove which will provide information of the movements of the surgeon{\quotesinglbase}{\"A}{\^o}s hand to the collaborative robot. This information determinates the actions that the robot will carry on. The first step was to define different movements of the hand which could be identified. An algorithm identifies these movements using the data given by the sensing glove. For the purpose of algorithm accuracy measurement, 4 persons wearing the sensing glove made a sequence with different movements. The evidence from this study suggests that a sensing glove can be used to send information of the movements of the surgeon{\quotesinglbase}{\"A}{\^o}s hand to a collaborative robot during a HALS.

}, author = {L. Santos and N. Carbonaro and A. Tognetti and Gonzales, R. and J. C. Fraile and J. P. Turiel and E. De La Fuente} } @article {3225, title = {Development of a High-Speed Current Injection and Voltage Measurement System for Electrical Impedance Tomography-Based Stretchable Sensors}, journal = {TECHNOLOGIES}, volume = {5}, year = {2017}, keywords = {conductive fabric, EIT, pressure sensor, stretchable, wearable}, doi = {10.3390/technologies5030048}, url = {http://www.mdpi.com/2227-7080/5/3/48}, author = {S. Russo and S. Nefti-meziani and N. Carbonaro and A. Tognetti} } @article {3223, title = {A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics}, journal = {FUTURE INTERNET}, volume = {9}, year = {2017}, keywords = {human-robot interaction, multimodality, perception framework, physiological signal acquisition, social robotics}, doi = {10.3390/fi9030042}, author = {Cominelli, L. and N. Carbonaro and D. Mazzei and R. Garofalo and A. Tognetti and D. De Rossi} } @article {3224, title = {A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors}, journal = {SENSORS}, volume = {17}, year = {2017}, abstract = {

Electrical Impedance Tomography (EIT) is a medical imaging technique that has been recently used to realize stretchable pressure sensors. In this method, voltage measurements are taken at electrodes placed at the boundary of the sensor and are used to reconstruct an image of the applied touch pressure points. The drawback with EIT-based sensors, however, is their low spatial resolution due to the ill-posed nature of the EIT reconstruction. In this paper, we show our performance evaluation of different EIT drive patterns, specifically strategies for electrode selection when performing current injection and voltage measurements. We compare voltage data with Signal-to-Noise Ratio (SNR) and Boundary Voltage Changes (BVC), and study image quality with Size Error (SE), Position Error (PE) and Ringing (RNG) parameters, in the case of one-point and two-point simultaneous contact locations. The study shows that, in order to improve the performance of EIT based sensors, the electrode selection strategies should dynamically change correspondingly to the location of the input stimuli. In fact, the selection of one drive pattern over another can improve the target size detection and position accuracy up to 0.04. and 0.18, respectively.

}, keywords = {conductive fabric, inverse problem, performance parameters, stretchable sensor}, doi = {10.3390/s17091999}, url = {http://www.mdpi.com/1424-8220/17/9/1999/htm}, author = {S. Russo and S. Nefti-meziani and N. Carbonaro and A. Tognetti} } @inbook {3221, title = {Strain and angular sensing fabrics for human motion analysis in daily life}, booktitle = {Smart textiles : fundamentals, design, and interaction}, year = {2017}, pages = {49{\textendash}70}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Dordrecht}, author = {F. Lorussi and N. Carbonaro and D. De Rossi and A. Tognetti} } @article {3226, title = {Systematic Review of fMRI Compatible Devices: Design and Testing Criteria}, journal = {ANNALS OF BIOMEDICAL ENGINEERING}, year = {2017}, keywords = {Biomedical Engineering, Compatibility, fMRI, Mechatronic devices, Safety}, doi = {10.1007/s10439-017-1853-1}, url = {http://link.springer.com/journal/volumesAndIssues/10439}, author = {V. Hartwig and N. Carbonaro and A. Tognetti and N. Vanello} } @article {3231, title = {Assessment of a Smart Sensing Shoe for Gait Phase Detection in Level Walking}, journal = {ELECTRONICS}, volume = {5}, year = {2016}, pages = {1{\textendash}15}, keywords = {accelerometers, force sensors, gait cycle, gait phase, smart shoe, walking, wearable technology}, doi = {10.3390/electronics5040078}, url = {http://www.mdpi.com/2079-9292/5/4/78}, author = {N. Carbonaro and F. Lorussi and A. Tognetti} } @article {3235, title = {A bi-articular model for scapular-humeral rhythm reconstruction through data from wearable sensors}, journal = {JOURNAL OF NEUROENGINEERING AND REHABILITATION}, volume = {13}, year = {2016}, pages = {1{\textendash}13}, keywords = {Hand posture estimation, Reaching activity, Scapular girdle movement, Scapular-humeral rhythm, Wearable sensing}, doi = {10.1186/s12984-016-0149-2}, url = {https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-016-0149-2}, author = {F. Lorussi and N. Carbonaro and D. De Rossi and A. Tognetti} } @conference {3228, title = {A highly stretchable artificial sensitive skin using EIT}, booktitle = {Book of abstracts: 16th International Conference on Electrical Bio-Impedance, 17th International Conference on Electrical Impedance Tomography. ICEBI and EIT Stockholm 19{\quotesinglbase}{\"A}{\`\i}23 June 2016}, year = {2016}, pages = {132{\textendash}132}, publisher = {Karolinska Institutet}, organization = {Karolinska Institutet}, address = {Stoccolma}, url = {http://www.icebi2016.org/images/ICEBI_2016_web.pdf}, author = {S. Russo and A. Tognetti and N. Carbonaro and S. Nefti-meziani} } @article {2866, title = {A Multi-Modal Sensing Glove for Human Manual-Interaction Studies}, journal = {Electronics}, volume = { 5}, year = {2016}, note = {

This work is supported in part by the European Research Council under the Advanced Grant {\textquotedblleft}SoftHands: A Theory of Soft Synergies for a New Generation of Artificial Hands{\textquotedblright} (No. ERC-291166), by the EU H2020 projects {\textquotedblleft}SoftPro: Synergy-based Open-source Foundations and Technologies for Prosthetics and RehabilitatiOn{\textquotedblright} (No. 688857) and {\textquotedblleft}SOMA: Soft Manipulation{\textquotedblright} (No. 64559) and by the EU FP7 project (No. 601165) {\textquotedblleft}WEARable HAPtics for Humans and Robots (WEARHAP){\textquotedblright}.

}, abstract = {

We present an integrated sensing glove that combines two of the most visionary wearable sensing technologies to provide both hand posture sensing and tactile pressure sensing in a unique, lightweight, and stretchable device. Namely, hand posture reconstruction employs Knitted Piezoresistive Fabrics that allows us to measure bending. From only five of these sensors (one for each finger) the full hand pose of a 19 degrees of freedom (DOF) hand model is reconstructed leveraging optimal sensor placement and estimation techniques. To this end, we exploit a-priori information of synergistic coordination patterns in grasping tasks. Tactile sensing employs a piezoresistive fabric allowing us to measure normal forces in more than 50 taxels spread over the palmar surface of the glove. We describe both sensing technologies, report on the software integration of both modalities, and describe a preliminary evaluation experiment analyzing hand postures and force patterns during grasping. Results of the reconstruction are promising and encourage us to push further our approach with potential applications in neuroscience, virtual reality, robotics and tele-operation.

}, keywords = {Haptics}, doi = {10.3390/electronics5030042}, url = {http://www.mdpi.com/2079-9292/5/3/42/pdf}, author = {M. Bianchi and R. Haschke and G. B{\"u}scher and S. Ciotti and N. Carbonaro and A. Tognetti} } @conference {3232, title = {A preliminary framework for a social robot {\quotesinglbase}{\"A}{\'u}sixth sense{\quotesinglbase}{\"A}{\`u}}, booktitle = {Biomimetic and Biohybrid Systems 5th International Conference, Living Machines 2016, Edinburgh, UK, July 19-22, 2016. Proceedings}, volume = {9793}, year = {2016}, pages = {58{\textendash}70}, publisher = {Springer Verlag}, organization = {Springer Verlag}, address = {Dordrecht}, keywords = {Affective computing, Behaviour monitoring, Computer Science (all), human-robot interaction, social robotics, Synthetic tutor, Theoretical Computer Science}, doi = {10.1007/978-3-319-42417-0_6}, url = {http://springerlink.com/content/0302-9743/copyright/2005/}, author = {Cominelli, L. and D. Mazzei and N. Carbonaro and R. Garofalo and A. Zaraki and A. Tognetti and D. De Rossi} } @conference {3230, title = {A Quantitative Evaluation of Drive Patterns in Electrical Impedance Tomography}, booktitle = {Proceedings of the 6th EAI International Conference on Wireless Mobile Communication and Healthcare}, year = {2016}, pages = {337{\textendash}344}, keywords = {drive patterns, EIT, Electrical impedance tomography, stretchable sensors}, doi = {10.1007/978-3-319-58877-3}, author = {S. Russo and N. Carbonaro and A. Tognetti and S. Nefti-meziani} } @article {2867, title = {A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition}, journal = {Sensors}, volume = {16}, year = {2016}, abstract = {

Achieving accurate and reliable kinematic hand pose reconstructions represents a challenging task. The main reason for this is the complexity of hand biomechanics, where several degrees of freedom are distributed along a continuous deformable structure. Wearable sensing can represent a viable solution to tackle this issue, since it enables a more natural kinematic monitoring. However, the intrinsic accuracy (as well as the number of sensing elements) of wearable hand pose reconstruction (HPR) systems can be severely limited by ergonomics and cost considerations. In this paper, we combined the theoretical foundations of the optimal design of HPR devices based on hand synergy information, i.e., the inter-joint covariation patterns, with textile goniometers based on knitted piezoresistive fabrics (KPF) technology, to develop, for the first time, an optimally-designed under-sensed glove for measuring hand kinematics. We used only five sensors optimally placed on the hand and completed hand pose reconstruction (described according to a kinematic model with 19 degrees of freedom) leveraging upon synergistic information. The reconstructions we obtained from five different subjects were used to implement an unsupervised method for the recognition of eight functional grasps, showing a high degree of accuracy and robustness.

}, keywords = {Haptics}, doi = {10.3390/s16060811}, url = {http://www.mdpi.com/1424-8220/16/6/811}, author = {S. Ciotti and E. Battaglia and N. Carbonaro and A. Bicchi and A. Tognetti and M. Bianchi} } @conference {3234, title = {Towards the development of an EIT-based stretchable sensor for multi-touch industrial human-computer interaction systems}, booktitle = {Cross-Cultural Design 8th International Conference, CCD 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings}, volume = {9741}, year = {2016}, pages = {563{\textendash}573}, publisher = {Springer Verlag}, organization = {Springer Verlag}, address = {Dordrecht}, keywords = {Computer Science (all), Theoretical Computer Science}, doi = {10.1007/978-3-319-40093-855}, url = {http://springerlink.com/content/0302-9743/copyright/2005/}, author = {S. Russo and S. Nefti-meziani and Gulrez, T and N. Carbonaro and A. Tognetti} } @article {3233, title = {Wearable Textile Platform for Assessing Stroke Patient Treatment in Daily Life Conditions}, journal = {FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY}, volume = {4}, year = {2016}, pages = {1{\textendash}28}, keywords = {ambulatory monitoring, data fusion, gait, Grasping, reaching, stroke rehabilitation, wearable sensors}, doi = {10.3389/fbioe.2016.00028}, author = {F. Lorussi and N. Carbonaro and D. De Rossi and R. Paradiso and Veltink, P. and A. Tognetti} } @conference {2718, title = {Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications}, booktitle = {Proceedings of Wireless EAI 4th International Conference on Mobile Communication and Healthcare (Mobihealth)}, year = {2015}, pages = {1-4}, publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering}, organization = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering}, keywords = {Bioengineering}, doi = {10.4108/eai.14-10-2015.2261613}, url = {http://dl.acm.org/citation.cfm?id=2897477}, author = {F. Lorussi and N. Carbonaro and D. De Rossi and A. Tognetti} } @article {2716, title = {Music, clicks, and their imaginations favor differently the event-based timing component for rhythmic movements}, journal = {EXPERIMENTAL BRAIN RESEARCH}, volume = {233}, year = {2015}, pages = {1945{\textendash}1961}, keywords = {Bioengineering}, issn = {0014-4819}, doi = {10.1007/s00221-015-4267-z}, url = {http://dx.medra.org/10.1007/s00221-015-4267-z}, author = {Bravi, R. and E. Quarta and Del Tongo, C. and N. Carbonaro and A. Tognetti and Minciacchi, D.} } @article {2717, title = {Neuro-fuzzy physiological computing to assess stress levels in virtual reality therapy}, journal = {INTERACTING WITH COMPUTERS}, volume = {27}, year = {2015}, pages = {521{\textendash}533}, keywords = {Bioengineering}, issn = {0953-5438}, doi = {10.1093/iwc/iwv010}, url = {http://dx.medra.org/10.1093/iwc/iwv010}, author = {Tartarisco, G. and N. Carbonaro and A. Tonacci and G. M. Bernava and A. Arnao and G. Crifaci and P. Cipresso and G. Riva and A. Gaggioli and D. De Rossi and A. Tognetti and G. Pioggia} } @article {2715, title = {Wearable goniometer and accelerometer sensory fusion for knee joint angle measurement in daily-life}, journal = {SENSORS}, volume = {15}, year = {2015}, pages = {28435{\textendash}28455}, keywords = {Bioengineering}, issn = {1424-8220}, doi = {10.3390/s151128435}, url = {http://dx.medra.org/10.3390/s151128435}, author = {A. Tognetti and F. Lorussi and N. Carbonaro and D. De Rossi} } @conference {2214, title = {Daily-Life Monitoring of Stroke Survivors Motor Performance: The INTERACTION Sensing System}, year = {2014}, abstract = {

The objective of the INTERACTION Eu project is to develop and validate an unobtrusive and modular system for monitoring daily life activities, physical interactions with the environment and for training upper and lower extremity motor function in stroke subjects. This paper describes the development and preliminary testing of the project sensing platform made of sensing shirt, trousers, gloves and shoes. Modular prototypes were designed and built considering the minimal set of inertial, force and textile sensors that may enable an efficient monitoring of stroke patients. The single sensing elements are described and the results of their preliminary lab-level testing are reported.

}, author = {A. Tognetti and F. Lorussi and N. Carbonaro and D. De Rossi and De Toma, G. and Mancuso, C. and Paradiso, R. and Luinge, H. and Reenalda, J. and Droog, E. and Veltink, P.} } @article {2228, title = {A Decision Support System for Real-Time Stress Detection During Virtual Reality Exposure}, year = {2014}, pages = {114{\textendash}120}, abstract = {

Virtual Reality (VR) is increasingly being used in combination with psycho-physiological measures to improve assessment of distress in mental health research and therapy. However, the analysis and interpretation of multiple physiological measures is time consuming and requires specific skills, which are not available to most clinicians. To address this issue, we designed and developed a Decision Support System (DSS) for automatic classification of stress levels during exposure to VR environments. The DSS integrates different biosensor data (ECG, breathing rate, EEG) and behavioral data (body gestures correlated with stress), following a training process in which self-rated and clinical-rated stress levels are used as ground truth. Detected stress events for each VR session are reported to the therapist as an aggregated value (ranging from 0 to 1) and graphically displayed on a diagram accessible by the therapist through a web-based interface.

}, doi = {10.3233/978-1-61499-375-9-114}, author = {A. Gaggioli and P. Cipresso and Serino, S. and G. Pioggia and Tartarisco, G. and Baldus, G. and Corda, D. and M. Ferro and N. Carbonaro and A. Tognetti and D. De Rossi and Giakoumis, D. and Tzovaras, D. and Riera, A. and G. Riva} } @conference {2233, title = {Exploiting hand kinematic synergies and wearable under-sensing for hand functional grasp recognition}, booktitle = { 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" }, year = {2014}, address = {November 3{\textendash}5, 2014 Athens, Greece}, keywords = {Haptics, Robotics}, doi = { http://dx.doi.org/10.4108/icst.mobihealth.2014.257228}, author = {M. Bianchi and N. Carbonaro and E. Battaglia and F. Lorussi and A. Bicchi and D. De Rossi and A. Tognetti} } @article {2211, title = {Exploiting wearable goniometer technology for motion sensing gloves}, journal = {IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS}, year = {2014}, abstract = {

This paper presents an innovative wearable kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove is conceived to capture hand movement and gesture by using KPF in a double layer configuration working as angular sensors (electro-goniometers). The sensing glove prototype is endowed by three KPF goniometers, used to track flexion and extension movement of metacarpo-phalangeal joint of thumb, index and middle fingers. The glove is devoted to the continuous monitoring of patients during their daily life activities, in particular for stroke survivors during their rehabilitation. The prototype performances have been evaluated in comparison with an optical tracking system considered as a gold standard both for relieving static and dynamic posture and gesture of the hand. The introduced prototype has shown very interesting figures of merit. The angular error, evaluated through the standard Bland Altman analysis, has been estimated in ? 3? which is slightly less accurate than commercial electro-goniometers. Moreover, a new conceptual prototype design, preliminary evaluated within this work, is presented and discussed in order to solve actual limitations in terms of number and type of sensor connections, avoiding mechanical constraints given by metallic inextensible wires and improving user comfort.

}, doi = {10.1109/JBHI.2014.2324293}, author = {N. Carbonaro and Dalle Mura, G. and F. Lorussi and Paradiso, R. and D. De Rossi and A. Tognetti} } @conference {2213, title = {Interpreting Psychophysiological States Using Unobtrusive Wearable Sensors in Virtual Reality}, booktitle = {Proc. of The Seventh International Conference on Advances in Computer-Human Interactions}, year = {2014}, abstract = {

One of the main challenges in the study of human be- havior is to quantitatively assess the participants? affective states by measuring their psychophysiological signals in ecologically valid conditions. The quality of the acquired data, in fact, is often poor due to artifacts generated by natural interactions such as full body movements and gestures. We created a technology to address this problem. We enhanced the eXperience Induction Machine (XIM), an immersive space we built to conduct experiments on human behavior, with unobtrusive wearable sensors that measure electrocardiogram, breathing rate and electrodermal response. We conducted an empirical validation where participants wearing these sensors were free to move in the XIM space while exposed to a series of visual stimuli taken from the International Affective Picture System (IAPS). Our main result consists in the quan- titative estimation of the arousal range of the affective stimuli through the analysis of participants? psychophysiological states. Taken together, our findings show that the XIM constitutes a novel tool to study human behavior in life-like conditions.

}, author = {A. Betella and Pacheco, D. and R. Zucca and X. D. Arsiwalla and P Omedas and A Lanata and D. Mazzei and A. Tognetti and A. Greco and N. Carbonaro and Wagner, J. and Lingenfelser, F. and Andr{\`e}, E. and D. De Rossi and Verschure, P.} } @article {2212, title = {New generation of wearable goniometers for motion capture systems}, journal = {JOURNAL OF NEUROENGINEERING AND REHABILITATION}, volume = {11}, year = {2014}, abstract = {

Background Monitoring joint angles through wearable systems enables human posture and gesture to be reconstructed as a support for physical rehabilitation both in clinics and at the patient{\textquoteright}s home. A new generation of wearable goniometers based on knitted piezoresistive fabric (KPF) technology is presented. Methods KPF single-and double-layer devices were designed and characterized under stretching and bending to work as strain sensors and goniometers. The theoretical working principle and the derived electromechanical model, previously proved for carbon elastomer sensors, were generalized to KPF. The devices were used to correlate angles and piezoresistive fabric behaviour, to highlight the differences in terms of performance between the single layer and the double layer sensors. A fast calibration procedure is also proposed. Results The proposed device was tested both in static and dynamic conditions in comparison with standard electrogoniometers and inertial measurement units respectively. KPF goniometer capabilities in angle detection were experimentally proved and a discussion of the device measurement errors of is provided. The paper concludes with an analysis of sensor accuracy and hysteresis reduction in particular configurations. Conclusions Double layer KPF goniometers showed a promising performance in terms of angle measurements both in quasi-static and dynamic working mode for velocities typical of human movement. A further approach consisting of a combination of multiple sensors to increase accuracy via sensor fusion technique has been presented.

}, doi = {10.1186/1743-0003-11-56}, author = {A. Tognetti and F. Lorussi and Dalle Mura, G. and N. Carbonaro and Pacelli, M. and Paradiso, R. and D. De Rossi} } @conference {1996, title = {Piezoresistive Goniometer Network for Sensing Gloves}, booktitle = {Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing}, year = {2014}, pages = {1547{\textendash}1550}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, doi = {10.1007/978-3-319-00846-2_382}, url = {http://dx.medra.org/10.1007/978-3-319-00846-2_382}, author = {Dalle Mura, G. and F. Lorussi and A. Tognetti and G. Anania and N. Carbonaro and M. Pacelli and R. Paradiso and D. De Rossi} } @article {2210, title = {Psychometric Assessment of Cardio-Respiratory Activity Using a Mobile Platform}, journal = {INTERNATIONAL JOURNAL OF HANDHELD COMPUTING RESEARCH}, volume = {5}, year = {2014}, pages = {13{\textendash}29}, abstract = {

Stress is an increasingly recognized phenomenon that has negative effects on growing numbers of people. Stress assessment is a complex issue, but different studies have shown that monitoring user psychophysi- ological parameter during daily life can be greatly helpful in stress evaluation. In this context, the European Collaborative Project INTERSTRESS is aimed at designing and developing advanced simulation and sensing technologies for the assessment and treatment of psychological stress, based on mobile biosensors.In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed mobile platform, in terms of hardware and processing algorithms, is described. Moreover the use of this wearable biosensor platform in combination with advanced simulation technologies, such as virtual reality, offer interesting opportunities for innovative personal health-care solutions to stress.

}, doi = {10.4018/ijhcr.2014010102}, author = {N. Carbonaro and Cipresso, P and A. Tognetti and G. Anania and D. De Rossi and Pallavicini, F and A. Gaggioli and Riva, G} } @conference {1995, title = {An Innovative Multisensor Controlled Prosthetic Hand}, booktitle = {Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing}, year = {2013}, pages = {93{\textendash}96}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, doi = {10.1007/978-3-319-00846-2_23}, url = {http://dx.medra.org/10.1007/978-3-319-00846-2_23}, author = {N. Carbonaro and G. Anania and Bacchereti, M. and Donati, G. and Ferretti, G. and Pellicci, L. and Parrini, G. and Vitetta, N. and D. De Rossi and A. Tognetti} } @conference {1814, title = {A Mobile Biosensor to detect Cardiorespiratory Activity for Stress Tracking}, booktitle = {IEEE 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)}, year = {2013}, pages = {440 - 445 }, address = {Venice, Italy}, abstract = {

Stress is an increasingly recognized phenomenon that has negative effects on growing numbers of people. Stress assessment is a complex issue, but different studies have shown that monitoring user psychophysiological parameter during daily life can be greatly helpful in stress evaluation. In this study a wearable biosensor platform able to collect physiological and behavioral parameters is reported. The developed wearable platform, in terms of hardware and processing algorithms, is described. Moreover the use of this wearable biosensor platform in combination with advanced simulation technologies, such as virtual reality offer interesting opportunities for innovative personal health-care solutions to stress. A recently founded European project, "INTERSTRESS - Interreality in the management and treatment of stress-related disorders," will take into account these relevant aspects.

}, keywords = {Bioengineering}, issn = {978-1-4799-0296-5 }, author = {N. Carbonaro and A. Tognetti and G. Anania and D. De Rossi and P. Cipresso and A. Gaggioli and G. Riva} } @conference {2243, title = {Piezoresistive Goniometer Network for Sensing Gloves}, booktitle = {Proceedings of the XIII Mediterranean Conference on Medical and Biological Engineering and Computing}, year = {2013}, pages = {1547{\textendash}1550}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, abstract = {

This paper presents a kinesthetic glove realized with knitted piezoresistive fabric (KPF) sensor technology. The glove forefinger area is sensorized by two KPF goniometers obtained on the same piezoresistive substrate. The piezoresistive textile is used for the realization of both electrogoniometers and connections, thus avoiding mechanical constraints due to metallic wires. Sensors are characterized in comparison with commercial goniometers. The glove behavior is pointed out in terms of methacarpal-phalangeal and interphalangeal joint movement reconstruction.

}, keywords = {Bioengineering}, doi = {10.1007/978-3-319-00846-2_382}, author = {G. Dalle Mura and F. Lorussi and A. Tognetti and G. Anania and N. Carbonaro and M. Pacelli and R. Paradiso and D. De Rossi} } @booklet {2229, title = {Struttura protesica per amputazione mano}, year = {2013}, author = {Bacchereti, M. and N. Carbonaro and G. Dalle Mura and FERRETTI, L. and PELLICCI, G. and A. Tognetti and Vitetta, N.} } @article {1999, title = {Struttura protesica per amputazione mano}, volume = {PI2013A000004}, year = {2013}, pages = {{\textendash}}, author = {Bacchereti, M. and N. Carbonaro and GABRIELE, D. and FERRETTI, L. and PELLICCI, G. and A. Tognetti and Vitetta, N.} } @conference {2005, title = {Personal Biomonitoring System: a real-time physiological and behavioural parameter monitoring system for stress correlation}, booktitle = {17th Annual CyberPsychology \& CyberTherapy Conference (CYBER17)}, year = {2012}, month = {September 25-28,}, pages = {{\textendash}}, author = {N. Carbonaro and A. Tognetti and G. Anania and Dalle Mura, G. and D. De Rossi} } @conference {2006, title = {Unobtrusive Physiological and Gesture Wearable Acquisition System: A Preliminary Study on Behavioral and Emotional Correlations}, booktitle = {GLOBAL HEALTH 2012 : The First International Conference on Global Health Challenges}, year = {2012}, month = {21-26 October}, pages = {88{\textendash}92}, author = {N. Carbonaro and A. Greco and G. Anania and G. Dalle Mura and A. Tognetti and E. P. Scilingo and D. De Rossi and A Lanata} } @conference {BSTCB12, title = {On the Use of Postural Synergies to Improve Human Hand Pose Reconstruction}, booktitle = {Haptics Symposium}, year = {2012}, month = {March 4 - 7}, pages = {91 - 98}, address = {Vancouver, Canada}, keywords = {Haptics, Robotics}, author = {M. Bianchi and P Salaris and A. Turco and N. Carbonaro and A. Bicchi} } @conference {2012, title = {Electroactive polymer patches for wearable haptic interfaces}, booktitle = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC{\textquoteright}11}, year = {2011}, pages = {8369{\textendash}8372}, doi = {10.1109/IEMBS.2011.6092064}, url = {http://dx.medra.org/10.1109/IEMBS.2011.6092064}, author = {D. De Rossi and F. Carpi and N. Carbonaro and A. Tognetti and E. P. Scilingo} } @conference {2014, title = {Enhancing the performance of upper limb gesture reconstruction through sensory fusion}, booktitle = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS}, year = {2011}, pages = {3496{\textendash}3499}, publisher = {IEEE}, organization = {IEEE}, address = {USA}, doi = {10.1109/IEMBS.2011.6090944}, url = {http://dx.medra.org/10.1109/IEMBS.2011.6090944}, author = {F. Lorussi and A. Tognetti and N. Carbonaro and G. Anania and D. De Rossi} } @conference {2013, title = {Wearable biomonitoring system for stress management: A preliminary study on robust ECG signal processing}, booktitle = {2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2011}, year = {2011}, month = {20-24 June}, pages = {{\textendash}}, doi = {10.1109/WoWMoM.2011.5986192}, url = {http://dx.medra.org/10.1109/WoWMoM.2011.5986192}, author = {N. Carbonaro and G. Anania and G. Dalle Mura and M. Tesconi and A. Tognetti and G. Zupone and D. De Rossi} } @article {2008, title = {Wearable Systems for Brain body Reading and Mind Healing}, journal = {CYBER THERAPY AND REHABILITATION MAGAZINE}, year = {2011}, pages = {39{\textendash}40}, issn = {1784-9926}, author = {A. Tognetti and E. P. Scilingo and G. Anania and N. Carbonaro and A Lanata and F. Lorussi and D. Mazzei and G. Valenza and D. De Rossi} } @article {2015, title = {Heart Rate and Accelerometer data fusion for activity assessment of rescuers during emergency interventions}, journal = {IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE}, volume = {14}, year = {2010}, pages = {702{\textendash}710}, issn = {1089-7771}, doi = {10.1109/TITB.2010.2047727}, url = {http://dx.medra.org/10.1109/TITB.2010.2047727}, author = {Curone, D. and A. Tognetti and Secco, E. L. and G. Anania and N. Carbonaro and D. De Rossi and G. Magenes} } @conference {2024, title = {Interreality: The use of advanced technologies in the assessment and treatement of psychological stress}, booktitle = {Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications ISDA{\textquoteright}10}, year = {2010}, month = {29 Nov- 1 Dec}, pages = {1047{\textendash}1051}, doi = {10.1109/ISDA.2010.5687047}, url = {http://dx.medra.org/10.1109/ISDA.2010.5687047}, author = {G. Pioggia and N. Carbonaro and G. Anania and A. Tognetti and Tartarisco, G. and M. Ferro and D. De Rossi and G. Riva} } @conference {2027, title = {ntegrating hands-free interface into 3d virtual reality environments}, booktitle = {ARO Non-Manual Control Devices Symposium}, year = {2009}, pages = {{\textendash}}, author = {A. Tognetti and Gulrez, T and N. Carbonaro and G. Dalle Mura and G. Zupone and D. De Rossi} } @article {2026, title = {A SENSING SEAT FOR HUMAN AUTHENTICATION}, journal = {IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY}, volume = {4}, year = {2009}, pages = {451{\textendash}459}, issn = {1556-6013}, author = {M. Ferro and G. Pioggia and A. Tognetti and N. Carbonaro and D. De Rossi} } @conference {2031, title = {A sensorized glove for hand rehabilitation}, booktitle = {Proceedings of the Annual Northeast Bioengineering Conference}, year = {2009}, month = {3-5 April}, pages = {139{\textendash}140}, doi = {10.1109/NEBC.2009.4967775}, url = {http://dx.medra.org/10.1109/NEBC.2009.4967775}, author = {F. Cutolo and C. Mancinelli and S. Patel and N. Carbonaro and M. Schmid and A. Tognetti and D. De Rossi and P. Bonato} }