Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications
2018
Аутори
Sorgini, FrancescaMassari, Luca
D'Abbraccio, Jessica
Palermo, Eduardo
Menciassi, Arianna
Petrović, Petar
Mazzoni, Alberto
Carrozza, Maria Chiara
Newell, Fiona N.
Oddo, Calogero Maria
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
We present a tactile telepresence system for real-time transmission of information about object stiffness to the human fingertips. Experimental tests were performed across two laboratories (Italy and Ireland). In the Italian laboratory, a mechatronic sensing platform indented different rubber samples. Information about rubber stiffness was converted into on-off events using a neuronal spiking model and sent to a vibrotactile glove in the Irish laboratory. Participants discriminated the variation of the stiffness of stimuli according to a two-alternative forced choice protocol. Stiffness discrimination was based on the variation of the temporal pattern of spikes generated during the indentation of the rubber samples. The results suggest that vibrotactile stimulation can effectively simulate surface stiffness when using neuronal spiking models to trigger vibrations in the haptic interface. Specifically, fractional variations of stiffness down to 0.67 were significantly discriminated with... the developed neuromorphic haptic interface. This is a performance comparable, though slightly worse, to the threshold obtained in a benchmark experiment evaluating the same set of stimuli naturally with the own hand. Our paper presents a bioinspired method for delivering sensory feedback about object properties to human skin based on contingency-mimetic neuronal models, and can be useful for the design of high performance haptic devices.
Кључне речи:
vibrotactile / telepresence / tactile perception / sensory augmentation / neuromorphic / haptics / contingency-mimeticsИзвор:
Sensors, 2018, 18, 1Издавач:
- MDPI, Basel
Финансирање / пројекти:
- Italian Ministry of Education, Universities and Research within the "Smart Cities and Social Innovation Under 30" program through the PARLOMA Project [SIN_00132]
- Tuscany Region [D66D16000120002
- National Institute for Insurance against Accidents at Work (INAIL) via the MOTU project
- Italian Ministry of Foreign Affairs and International Cooperation via the Italy-Serbia bilateral project Human-Robot Co-Working as a Key Enabling Technology for the Factories of Future [PGR00758/2017]
DOI: 10.3390/s18010261
ISSN: 1424-8220
PubMed: 29342076
WoS: 000423286300260
Scopus: 2-s2.0-85040905144
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Sorgini, Francesca AU - Massari, Luca AU - D'Abbraccio, Jessica AU - Palermo, Eduardo AU - Menciassi, Arianna AU - Petrović, Petar AU - Mazzoni, Alberto AU - Carrozza, Maria Chiara AU - Newell, Fiona N. AU - Oddo, Calogero Maria PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/2755 AB - We present a tactile telepresence system for real-time transmission of information about object stiffness to the human fingertips. Experimental tests were performed across two laboratories (Italy and Ireland). In the Italian laboratory, a mechatronic sensing platform indented different rubber samples. Information about rubber stiffness was converted into on-off events using a neuronal spiking model and sent to a vibrotactile glove in the Irish laboratory. Participants discriminated the variation of the stiffness of stimuli according to a two-alternative forced choice protocol. Stiffness discrimination was based on the variation of the temporal pattern of spikes generated during the indentation of the rubber samples. The results suggest that vibrotactile stimulation can effectively simulate surface stiffness when using neuronal spiking models to trigger vibrations in the haptic interface. Specifically, fractional variations of stiffness down to 0.67 were significantly discriminated with the developed neuromorphic haptic interface. This is a performance comparable, though slightly worse, to the threshold obtained in a benchmark experiment evaluating the same set of stimuli naturally with the own hand. Our paper presents a bioinspired method for delivering sensory feedback about object properties to human skin based on contingency-mimetic neuronal models, and can be useful for the design of high performance haptic devices. PB - MDPI, Basel T2 - Sensors T1 - Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications IS - 1 VL - 18 DO - 10.3390/s18010261 ER -
@article{ author = "Sorgini, Francesca and Massari, Luca and D'Abbraccio, Jessica and Palermo, Eduardo and Menciassi, Arianna and Petrović, Petar and Mazzoni, Alberto and Carrozza, Maria Chiara and Newell, Fiona N. and Oddo, Calogero Maria", year = "2018", abstract = "We present a tactile telepresence system for real-time transmission of information about object stiffness to the human fingertips. Experimental tests were performed across two laboratories (Italy and Ireland). In the Italian laboratory, a mechatronic sensing platform indented different rubber samples. Information about rubber stiffness was converted into on-off events using a neuronal spiking model and sent to a vibrotactile glove in the Irish laboratory. Participants discriminated the variation of the stiffness of stimuli according to a two-alternative forced choice protocol. Stiffness discrimination was based on the variation of the temporal pattern of spikes generated during the indentation of the rubber samples. The results suggest that vibrotactile stimulation can effectively simulate surface stiffness when using neuronal spiking models to trigger vibrations in the haptic interface. Specifically, fractional variations of stiffness down to 0.67 were significantly discriminated with the developed neuromorphic haptic interface. This is a performance comparable, though slightly worse, to the threshold obtained in a benchmark experiment evaluating the same set of stimuli naturally with the own hand. Our paper presents a bioinspired method for delivering sensory feedback about object properties to human skin based on contingency-mimetic neuronal models, and can be useful for the design of high performance haptic devices.", publisher = "MDPI, Basel", journal = "Sensors", title = "Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications", number = "1", volume = "18", doi = "10.3390/s18010261" }
Sorgini, F., Massari, L., D'Abbraccio, J., Palermo, E., Menciassi, A., Petrović, P., Mazzoni, A., Carrozza, M. C., Newell, F. N.,& Oddo, C. M.. (2018). Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications. in Sensors MDPI, Basel., 18(1). https://doi.org/10.3390/s18010261
Sorgini F, Massari L, D'Abbraccio J, Palermo E, Menciassi A, Petrović P, Mazzoni A, Carrozza MC, Newell FN, Oddo CM. Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications. in Sensors. 2018;18(1). doi:10.3390/s18010261 .
Sorgini, Francesca, Massari, Luca, D'Abbraccio, Jessica, Palermo, Eduardo, Menciassi, Arianna, Petrović, Petar, Mazzoni, Alberto, Carrozza, Maria Chiara, Newell, Fiona N., Oddo, Calogero Maria, "Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications" in Sensors, 18, no. 1 (2018), https://doi.org/10.3390/s18010261 . .