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Bioelastic state recovery for haptic sensory substitution

Abstract

The rich set of mechanoreceptors found in human skin1,2 offers a versatile engineering interface for transmitting information and eliciting perceptions3,4, potentially serving a broad range of applications in patient care5 and other important industries6,7. Targeted multisensory engagement of these afferent units, however, faces persistent challenges, especially for wearable, programmable systems that need to operate adaptively across the body8,9,10,11. Here we present a miniaturized electromechanical structure that, when combined with skin as an elastic, energy-storing element, supports bistable, self-sensing modes of deformation. Targeting specific classes of mechanoreceptors as the basis for distinct, programmed sensory responses, this haptic unit can deliver both dynamic and static stimuli, directed as either normal or shear forces. Systematic experimental and theoretical studies establish foundational principles and practical criteria for low-energy operation across natural anatomical variations in the mechanical properties of human skin. A wireless, skin-conformable haptic interface, integrating an array of these bistable transducers, serves as a high-density channel capable of rendering input from smartphone-based 3D scanning and inertial sensors. Demonstrations of this system include sensory substitution designed to improve the quality of life for patients with visual and proprioceptive impairments.

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Fig. 1: Multisensory feedback with a battery-powered array of biointegrated, bistable transducers.
Fig. 2: Mechanical features of the transducer and the role of skin in maintaining bistability.
Fig. 3: Vibrotactile and shear-force operation of the transducer.
Fig. 4: System-level implementation of an array of bistable transducers.

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Data availability

All data generated or analysed during this study are included in this published article (and its supplementary information files).

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Acknowledgements

M.F. acknowledges support from the National Institutes of Health (grant T32HL007909). H.J. acknowledges support from the National Natural Science Foundations of China (grant 12350003). H.J. and Z.G. thank the Research Center for Industries of the Future (RCIF) at Westlake University and Westlake Education Foundation for supporting this work. Z.X. acknowledges the support from the National Natural Science Foundation of China (grants 12472160 and 12072057), Liaoning Revitalization Talents Program (grant XLYC2007196) and Dalian Outstanding Young Talents in Science and Technology (grant 2021RJ06). We also thank R. Golemia and T. Bui from the machine shop at Northwestern University for CNC lathe and wire electrical discharge machining fabrication.

Author information

Authors and Affiliations

Authors

Contributions

M.T.F.: conceptualization, methodology, software, validation, formal analysis, investigation, visualization, resources, data curation, writing—review and editing, writing—original draft. K.-H.H.: methodology, investigation, formal analysis, visualization, writing—review and editing. Z.G.: methodology, investigation, formal analysis, visualization, writing—review and editing. S.L.: methodology, investigation, formal analysis, visualization, writing—review and editing. J.-T.K.: methodology, investigation, formal analysis, visualization, writing—review and editing. T.S.: investigation, formal analysis, visualization. D.S.: methodology, validation, visualization, data curation, writing—review and editing. F.A.-N.: investigation. Y.M.: investigation, visualization. S.B.: investigation. C.F.: investigation. D.B.: investigation. Z.Z.: investigation. Y.Z.: investigation, visualization. E.F.: formal analysis, writing—review and editing. K.E.M.: investigation, writing—review and editing. Y.H.: investigation. L.E.: investigation. J.Z.: investigation. J.-Y.Y.: methodology. M.P.: methodology. J.S.: writing—review and editing. A.G.H.: writing—review and editing. H.-S.S.: methodology. J.E.C.: methodology, formal analysis, writing—review and editing. Y.H.: funding acquisition, project administration, supervision, writing—review and editing. Z.X.: funding acquisition, project administration, supervision, writing—review and editing. H.J.: funding acquisition, project administration, supervision, writing—review and editing. J.A.R.: funding acquisition, project administration, supervision, writing—review and editing.

Corresponding authors

Correspondence to Yonggang Huang, Zhaoqian Xie, Hanqing Jiang or John A. Rogers.

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Nature thanks Kuanming Yao and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data figures and tables

Extended Data Fig. 1 Transducer design and fabrication.

a, Fabrication of the core on a motorized stage. Each coil was wound to eight layers along the 2.75-mm shaft of the bobbin to reach approximately 63% fill density. The resistance of each coil was measured to verify consistency and all transducers described in this article lie within 13–14 Ω (Rcoil = 13.39 ± 0.384 Ω; n = 18). b, Assembled transducer. c, Disassembled view of the transducer with key mechanical components labelled. d, Scale illustration of bistable transducer components and the variable harness system. e, 3D illustration of the three harness variants used in this study.

Extended Data Fig. 2 Transducer array design and mechanical testing.

a, Schematic illustration of the mesh-reinforced regions of the adhesive layer. b, Integration of the array with skin using the adhesive layer. c, Layer-by-layer fabrication of the adhesive coupling, schematic illustrations and photographs. d, Photograph of two transducer units positioned inside the controller module and schematic illustrations demonstrating how each modular interconnect layer routes signals through the hexagonal array. During assembly, the internal contacts fold into the core, in which they can be soldered to the coil. ek, Mechanical response testing for the array. e, Model geometry for mechanical simulation of strain under a unit actuator during skin bending (50 mm radius). f, Simulated strain using a substrate without mesh. g, Simulated strain with a mesh-reinforced substrate. h, Photograph of the haptic array under 20% lateral stretching. i, Numerical simulation of strain within the Dragon Skin/mesh adhesive layer, polyimide interconnects (fracture strain, >7%; ref. 38) and copper traces (fracture strain, >1%; ref. 39) of the array during 20% lateral stretching. j, Photograph of the haptic array under 50-mm bending radius. k, Numerical simulation of strain within the Dragon Skin/mesh adhesive layer, polyimide interconnects and copper traces of the array during bending (50 mm radius). l, Transducer resonance measured across the array periodically by the embedded inductance measurement unit during cyclic deformations of stretching and bending (mean across 19 transducers; bars, standard deviation). m, Torsion angle induced by a kirigami structure (8.5 mm initial height) on a skin phantom (E = 31 kPa) measured periodically during cyclical translation of the top panel by 3 mm (setup shown in inset).

Extended Data Fig. 3 Finite element modelling of electromagnetic and solid mechanical processes.

a, Demagnetization curve of an N48 neodymium magnet. Arnold Magnetic Technologies N48 from the ANSYS material library was used for the permanent magnet part of the armature with a modification of Br to 1 T in its BH curve. b, BH curve of iron–cobalt (VACOFLUX 50 Solid) and PDMS–MNP. The PDMS–MNP diaphragm used a self-defined material with a relative permeability of 1.04 and a bulk conductivity of 4 S m−1. c, Example quasi-magnetostatic simulation showing the magnetic field strength and direction as a colour map and quiver plot (Icoil = 400 mA) for the compressed and relaxed states (*||B|| = 7.4 mT, stray magnetic field at 6.6 mm radial distance from central axis). d, Model geometry and boundary conditions for solid mechanical processes. A downward displacement was applied to the armature and the corresponding reaction forces from the skin phantoms were evaluated. e, Example simulations showing strain distribution within a skin phantom (45:1, E = 43 kPa) for the relaxed and compressed states (2 mm effective indentation). f, Schematic of the mass–spring–damper vibration model for the transducer and the periodic loading force applied to it. g, Stress distribution within the kirigami structure in the relaxed state (PET yield stress, 80 MPa). h, Stress distribution within the kirigami structure in the compressed state. i, In-plane strain of the skin phantom in the compressed state. A stiff skin phantom was used here to evaluate the upper bound of stress in the structure (E = 5.1 MPa). j, In-plane deformation of the skin phantom in the compressed state.

Extended Data Fig. 4 Mechanical characterization of transducers, skin phantoms and human skin.

a, Mechanical bistability evaluation in healthy individuals. Measurements were performed in five skin locations (depicted on the left). The absolute value of current required to transition the armature between relaxed and compressed states was measured for n = 6 participants (three males, three females, ages 20–36 years). The indentation depth was adjusted by performing experiments with harnesses of varying heights. bi, Characterization of force as a function of extension was performed using a motorized stage (ESM303, Mark-10) and a force gauge (M5-2, Mark-10) with a 10 N capacity. b, Experimental and simulated forces measured as a function of the longitudinal position of the armature for several applied current values (excluding PDMS–MNP diaphragm and skin compressive force). We defined the origin as where the base of the armature and the core are in contact and we determined this using the force meter. For experimental results, the solid lines and shaded areas correspond to the means and standard deviations, respectively (n = 8). The square markers correspond to the maximum recorded force for each current, averaged across all transducers. The inset shows the experimental setup. c, Forces measured as a function of the longitudinal position of the armature rod (excluding force from core) for 40:1, 45:1, 50:1 and 55:1 skin phantoms with thicknesses of d = 2 mm (inset shows experimental setup). d, Forces measured as a function of the longitudinal position of the armature rod for 35:1, 40:1, 45:1, 50:1 and 55:1 skin phantoms with thicknesses of d = 5 mm. e, Skin reactive forces measured as a function of the longitudinal position of the armature rod (excluding force from core) for the ventral aspect of the forearm for n = 6 subjects (three males, three females, ages 20–36 years; experimental setup shown in inset). f, Skin reactive forces measured for the dorsal aspect of the palm above the adductor pollicis for n = 6 subjects (three males, three females, ages 20–36 years; ___location indicated in inset). g, Skin reactive forces measured for the dorsal aspect of the palm above metacarpal III for n = 6 subjects (three males, three females, ages 20–36 years; ___location indicated in inset). h, Tensile-peeling-force measurements of the harness attached to the silicone–mesh composite adhesive mounted on the forearm of n = 4 subjects (two males, two females, ages 26–32 years). The horizontal line shows the holding force of the indentation actuator. i, Tensile peeling force for a Ø7 mm disc pre-rotated to 30° and mounted on the forearm of n = 4 subjects (two males, two females, ages 26–32 years) with 3M 9699 double-sided adhesive. The horizontal line shows the holding force of the torsion actuator.

Extended Data Fig. 5 3D DIC evaluation of vibrotactile deformation.

a, Photograph of the experimental setup. b, Representative photograph of image sequence showing speckle pattern. c, 3D-reconstructed points versus true points. d, Normal deformation of skin phantoms measured in the relaxed and compressed states with DIC. eg, Temporal profiles (top) and frequency-___domain transformations (bottom) of skin phantom indentation (45:1 PDMS phantom, E = 43 kPa; Icoil-pk = 250 mA) measured at the centre of the contacting rod of the transducer with DIC during square-wave perturbation of the coil. e, Relaxed-state perturbation. f, Compressed-state perturbation. g, Full-transition vibration.

Extended Data Fig. 6 Design and fabrication of the kirigami transmission structure.

a, Basic split-crease unit cell design and fully folded Kresling-pattern-inspired kirigami structure. Parameters α and β are discussed in the Supplementary Methods. b, Design of a variant cell that uses a combination of straight and curved creases, which further increases the internal space. c, Curved crease design using the Bézier curve method, in which P1–P5 are control points (discussed in the Supplementary Methods). d, Kirigami structure with only straight valley creases in the folded state (h = 6.75 mm). e, Variant kirigami structure with 2 mm straight crease length (h = 6.75 mm; folded state). f, Crease length, 4 mm. g, Two-tiered kirigami structure illustrating switchable motion states. h, Bottom view of the contacting elements (ring and disc). i, 2D patterns of the lower and upper tier kirigami modules for fabrication. j, Panels used to make the kirigami structure, consisting of one layer of PET plastic sheet and two layers of PU thin-film tape. k, Photograph of the flat kirigami panel used for fabricating the 3D structure. l, Photograph of the assembled lower and upper tier kirigami modules.

Extended Data Fig. 7 Perceptual intensity of vibration and torsion.

a,b, Vibration current amplitudes of perception thresholds (n = 12, six males, six females, ages 20–36 years). a, Compressed-state vibration. b, Relaxed-state vibration. c, Relative perception of vibration in the transducer with respect to a commercial LRA (dotted line, equivalent perception; n = 12, six males, six females, ages 20–36 years). dg, Perceptual intensity evaluated according to its definition in Methods for n = 14 human participants (eight males, six females, ages 23–31 years) under four ring–disc configurations. The left column shows mean values reported by each subject (n = 5 repeat measurements; bars, standard deviation) and the right column reflects all subjects (n = 14; bars, 1.5 interquartile range; shaded box, range between 25th and 75th percentiles; horizontal line, median; ×, mean; , outliers from 1.5 interquartile range). According to the Friedman test, a statistically significant difference can be seen within each ring–disc configuration (P < 0.0001) and each showed a moderate positive correlation between ratings and rotation angles (Spearman correlation, ρ ≥ 0.58), which was highly statistically significant (P < 0.0001). d, Outcomes reported for rotation and indentation of the ring, in which the ring was rotated to angles of 0.33°, 0.66° and 1° with a static indentation of 0.2 mm. e, Outcomes reported for rotation of the disc, in which the disc was rotated to angles of 5°, 10° and 15° with a static indentation of 0 mm. f, Outcomes reported for rotation and indentation of the disc, in which the disc was rotated to angles of 5°, 10° and 15° with a static indentation of −0.4 mm. g, Outcomes reported for rotation and indentation of the ring and disc, in which the ring and disc were rotated to angles of (0.33°, 5°), (0.66°, 10°) and (1°, 15°) with a static indentation of (0.2 mm, −0.4 mm). hj, Torsion and indentation array discrimination experiments. h, Illustration and photograph of the apparatus setup, which includes three torsion actuators (A, D and E) and two indentation actuators (B and C). i, Discrimination between indentation and torsion, combined results for 15 healthy participants (seven males, eight females, ages 23–31 years). Accuracy was averaged over 15 subjects with ten repeated trials (n = 150). j, Discrimination between patterns of torsion, combined results for 12 healthy participants (seven males, five females, ages 23–31 years).

Extended Data Fig. 8 Miniaturization of indentation and torsional transducers.

ae, Miniaturization of the indentation structure. The coil was wound to 12 Ω. a, Photograph of the original and miniaturized transducers. b, Scale illustration of the miniaturized transducer. c, Experimental and simulated forces measured as a function of the longitudinal position of the armature for several applied current values. Measurements were performed using a motorized stage (ESM303, Mark-10) and a force gauge (M5-2, Mark-10) with a 10 N capacity. d, Simulated phase diagram for Icoil → ∞ showing regions across the parameter space of skin modulus and indentation depth for successful bistability. The shaded regions correspond to the boundaries of bistability, outside which only one state is attainable (monostable, compressed or relaxed). e, The minimum applied current required to overcome the energy barrier between each state plotted against the total indentation depth for a range of Young’s moduli, E (simulated). fk, Miniaturization of the torsion structure. f, Photograph of the single-tiered kirigami structure. g, Scale illustration of the one-tiered kirigami structure. h, Volumetric illustration of freely moving mechanical elements of the one-tiered structure. i, Photograph of a haptic array incorporating units for both indentation and torsion. j, Finite element analysis of stress driven by creasing within the kirigami structure (PET yield stress, 80 MPa; E = 31 kPa, skin). k, DIC out-of-plane (left) and in-plane (right) strains on a skin phantom during the compressed state of the single-tier transducer (E = 31 kPa; arrows, direction and magnitude of in-plane deformation). The inner disc rotated 7.5° and translated 0.25 mm vertically relative to the outer ring.

Extended Data Fig. 9 Visual and balance sensory substitution tasks.

ah, Visual sensory substitution task. Confusion matrix of participant performance on object identification task (n = 7), with the colour map indicating the frequency of occurrence. The P-value was P = 0.0178, testing the null hypothesis that selections were made at random between six possible choices (Wilcoxon signed-rank test; n = 7). The effect size was large, r = 0.896, according to rank-biserial correlation. a, Experimental setup of the visual sensory substitution task. b, Subject 1, female, age 21 years. c, Subject 2, female, age 23 years. d, Subject 3, female, age 19 years. e, Subject 4, male, age 37 years. f, Subject 5, male, age 32 years. g, Subject 6, male, age 30 years. h, Subject 7, male, age 31 years. is, Balance sensory substitution task. Participant performance on sharpened Romberg task, measured as the time duration before losing balance. The P-value across repeated trials and subjects was P = 0.00103, testing the null hypothesis that that no differences exist in group means. The vertical bars indicate standard deviation, shaded boxes indicate the interquartile range, the horizontal lines above each box indicate medians and filled circles correspond to the means. i, Stimulation patterns superimposed on smartphone display during rotation around the forward axis for the balance sensory substitution task. The virtual mesh highlights the LiDAR-reconstructed surface. j, Subject 1, female, age 35 years. k, Subject 2, female, age 35 years. l, Subject 3, female, age 20 years. m, Subject 4, female, age 29 years. n, Subject 5, female, age 32 years. o, Subject 6, male, age 36 years. p, Subject 7, male, age 20 years. q, Subject 8, male, age 34 years. r, Subject 9, male, age 33 years. s, Subject 10, male, age 24 years.

Extended Data Fig. 10 Foot-strike sensory substitution task.

Evaluation of the foot-strike sensory substitution system. a, Experimental setup depicting reference axes. As part of the task, four separate surfaces were presented at orientations (ψ, φ)  {(0°, 0°), (15°, 60°), (15°, −60°), (30°, 0°)}. b, Stimulation patterns superimposed on smartphone display during rotation around the forward axis. The virtual mesh highlights the LiDAR-reconstructed surface. ce, Unit normal vectors of foot and variable surface centred on a common origin during task with feedback. The significance of the results for each individual was evaluated using the Wilcoxon signed-rank test over repeat trials (across all three phases), given the null hypothesis that the median of the data is identical to the control. Effect size was characterized according to rank-biserial correlation. c, Subject 1, male, age 37 years (n = 57, P < 0.0001, r = −0.59). d, Subject 2, female, age 35 years (n = 55, P < 0.0001, r = −0.75). e, Subject 3, male, age 21 years (n = 60, P = 0.00027, r = −0.47). fh, Unit normal vectors of foot and variable surface centred on a common origin during task without feedback (control). f, Subject 1, male, age 37 years. g, Subject 2, female, age 35 years. h, Subject 3, male, age 21 years.

Supplementary information

Supplementary information

This file includes Supplementary Methods; Supplementary Figs. 1–7; Supplementary Tables 1–18; and Supplementary References 1–14.

Reporting Summary

Supplementary Video 1

Principles of operation of the bistable transducer, visualized over a complete cycle. Animated diagram (left) and 3D DIC (0.004× playback speed) results (right) illustrating operation of the bistable structure (Fskin, the reactive force of skin; Fhold, the holding force from the permanent magnet; Fcontact, the force of contact between the armature and opposing surfaces; Fcoil, the force applied by driving the coil with current).

Supplementary Video 2

Bimodal vibrotactile actuation. 3D DIC measurements of vibrotactile stimuli (Icoil-pk = 250 mA, f = 50 Hz; 500 Hz sample rate; 0.05× playback speed) on a skin phantom (45:1 PDMS, E = 43 kPa). Left, relaxed-state vibration. Middle, compressed-state vibration. Right, full-transition vibration (Icoil-pk = 300 mA).

Supplementary Video 3

Principles of operation of a bistable transducer and kirigami transmission structure. Two-tiered, counter-rotating kirigami transducer operating on human skin (forearm). A current amplitude of Icoil = 500 mA was applied for transitions to and from the compressed state.

Supplementary Video 4

Shear force delivered with a kirigami transmission structure. 3D DIC measurements of the kirigami transducer delivering shear force (Icoil = 500 mA) on a skin phantom (50:1 PDMS, E = 31 kPa).

Supplementary Video 5

Thermal characteristics of a bistable transducer array. Temperature colour map of the haptic array, imaged from the adhesive, skin-facing surface using an infrared camera (a6255sc, FLIR Systems). During imaging, the array was driven with conditions matching continuous operation during the visual sensory substitution task (7 transitions s−1 over the entire array, max 0.7 transitions s−1 on individual transducers, 100 mJ per transition). The video was recorded over 15 min (3× playback speed).

Supplementary Video 6

Operating principles of a visual sensory substitution system. Annotated demonstration of the haptic transducer array as sensory substitution for visual impairment.

Supplementary Video 7

Visual sensory substitution for obstacle-course navigation. Example demonstration of navigation strategies used by a blindfolded participant (male) traversing an obstacle course with feedback from the visual sensory substitution system. The participant wore a LiDAR-enabled smartphone around their neck to continuously map their physical surroundings. Apart from the haptic device, rendering smartphone-derived sensory information as patterns of indentation on the back of their neck, no other feedback was given to the participant. The participant was given no previous information on the path configured in this video before recording.

Supplementary Video 8

Visual sensory substitution for object identification. Example demonstration of navigation strategies used by a blindfolded participant (female) locating a chair with feedback from the visual sensory substitution system. The participant wore a LiDAR-enabled smartphone around their neck to map and classify their physical surroundings. Coloured surfaces on the smartphone indicate object classification (blue, chairs; purple, desks; grey, doors). The haptic array included a torsional unit that informed the user when they were facing a chair. The participant was given no previous information on the ___location of the chair before recording and they were given no other feedback apart from torsion and indentation from the haptic array.

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Flavin, M.T., Ha, KH., Guo, Z. et al. Bioelastic state recovery for haptic sensory substitution. Nature 635, 345–352 (2024). https://doi.org/10.1038/s41586-024-08155-9

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