ArticleJournal of neural engineering2019
Object stiffness recognition using haptic feedback delivered through transcutaneous proximal nerve stimulation.
Article in Journal of neural engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 35 citations in OpenAlex.
- Neuroenhancement of surgeons during robotic suturing.Surgical endoscopy · 2022Trial
- Vision-Based Grasping Method for Prosthetic Hands via Geometry and Symmetry Axis Recognition.Biomimetics (Basel, Switzerland) · 2025Article
- A novel portable device and validation procedure for transcutaneous electrical nerve stimulation.Wearable technologies · 2025Article
- Restoring Somatotopic Sensory Feedback in Lower Limb Amputees through Noninvasive Nerve Stimulation.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Compliant Grasp Control Method for the Underactuated Prosthetic Hand Based on the Estimation of Grasping Force and Muscle Stiffness with sEMG.Biomimetics (Basel, Switzerland) · 2024Article
- Eliciting tactile sensations in the hand through non-invasive proximal nerve stimulation: a feasibility study.Medical & biological engineering & computing · 2023Article
- A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition.Nano-micro letters · 2023Article
- Toward higher-performance bionic limbs for wider clinical use.Nature biomedical engineering · 2023Review
- Object stiffness recognition and vibratory feedback withoutFrontiers in neuroscience · 2023Article
- Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand.IEEE robotics and automation letters · 2022Article
- Closed-loop control of a prosthetic finger via evoked proprioceptive information.Journal of neural engineering · 2021Article
- Stiffness Perception using Transcutaneous Electrical Stimulation during Active and Passive Prosthetic Control.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Object Shape and Surface Topology Recognition Using Tactile Feedback Evoked through Transcutaneous Nerve Stimulation.IEEE transactions on hapticsArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveHaptic feedback is crucial when we manipulate objects. Information pertaining to an object's stiffness in particular can help facilitate fine motor control. In this study, we seek to determine whether objects of different stiffness levels can be recognized using haptic feedback provided by transcutaneous electrical stimulation of peripheral nerves. APPROACH: Using a stimulation electrode grid placed along the medial side of the upper arm, the median and ulnar nerve bundles were targeted to evoke haptic sensation on the palmar side of the hand. Stimulation current amplitude was modulated in real-time with the fingertip force recorded from a sensorized prosthetic hand. In order to evaluate which stimulation pattern was more critical, object stiffness was encoded either by the rate of change of the stimulus amplitude or the level of peak stimulus amplitude, as the prosthesis grasped the objects. MAIN
resultsBoth encoding methods allowed the subjects to differentiate objects of different stiffness levels with >90% accuracy. No significant difference was observed between the two encoding methods, which indicated that both the rate of change of the stimulation amplitude and the peak stimulation amplitude could effectively provide stiffness information of the objects. SIGNIFICANCE: The outcomes suggest that it is possible to elicit haptic sensations describing various object stiffness levels using transcutaneous nerve stimulation. The haptic feedback associated with object stiffness can facilitate object manipulation/interactions. It may also improve user experience during human-machine interactions, when object stiffness information is incorporated.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.