ArticleSensors (Basel, Switzerland)2018
Neuromorphic Vibrotactile Stimulation of Fingertips for Encoding Object Stiffness in Telepresence Sensory Substitution and Augmentation Applications.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Uneven Terrain Recognition Using Neuromorphic Haptic Feedback.Sensors (Basel, Switzerland) · 2023Article
- An Overview of Wearable Haptic Technologies and Their Performance in Virtual Object Exploration.Sensors (Basel, Switzerland) · 2023Review
- A Mechatronic Platform for Computer Aided Detection of Nodules in Anatomopathological Analyses via Stiffness and Ultrasound Measurements.Sensors (Basel, Switzerland) · 2019Article
- Haptic Glove and Platform with Gestural Control For Neuromorphic Tactile Sensory Feedback In Medical TelepresenceSensors (Basel, Switzerland) · 2019Article
- Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm.Sensors (Basel, Switzerland) · 2018Article
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Authors and funding
10 authors.
Funding
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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.
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