zPatch

Strohmeier, Paul; Knibbe, Jarrod; Boring, Sebastian; Hornbæk, Kasper

doi:10.1145/3173225.3173242

Cited by 43 publications

(10 citation statements)

References 42 publications

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“…In order to evaluate if the waveform could be used for rudimentary detection of distortion, we also calculated Width/Amplitude. Being able to differentiate these conditions also shows a basic ability towards identifying the shape, providing information beyond the current state of the art [29]. Thus, we determine that our proof of concept identifies basic electrical components.…”

Section: Verifying Functionalitymentioning

confidence: 85%

“…Resistive sensing can be augmented with capacitive measurements. This hybrid sensing has been utilised in zPatch, where these two approaches are combined by alternating between capacitive sensing and resistance measurement [29]. zPatch also sets the reference for comparison; the ability to detect hover, and different strength touch by pressing a textile against a flat surface.…”

Section: Using Resistance and Capacitancementioning

confidence: 99%

“…Alternatively, the sensor might require a flat surface to function (e.g. [22,29]), or the interaction would require a specific textile deformation (e.g. [15]).…”

Section: Standards Laboratory and Real-worldmentioning

confidence: 99%

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Frequency-Based Design of Smart Textiles

Mikkonen

Townsend

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Section: Verifying Functionalitymentioning

confidence: 85%

Section: Using Resistance and Capacitancementioning

confidence: 99%

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Frequency-Based Design of Smart Textiles

Mikkonen

Townsend

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…We built our sensors according to Donneaud et al [6], however, we created the electrodes following instructions by Strohmeier et al [31]: We used conductive ripstop [38] for creating the sensing electrodes. We prepared it by ironing the Ripstop to dual-sided fabric bonding.…”

Section: Methodsmentioning

confidence: 99%

“…While any sensor design would be subject to such problems, and we therefore believe that our design recommendations still hold, it is possible that some algorithms perform better than others when subject to noise. Hybrid sensing has been suggested as a way to minimize such problems [31].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Optimizing Pressure Matrices

Strohmeier

Håkansson

Honnet

et al. 2019

Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction

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This paper provides resources and design recommendations for optimizing position input for pressure sensor matrices, a sensor design often used in eTextiles. Currently applications using pressure matrices for precise continuous position control are rare. One reason designers opt against using these sensors for continuous position control is that when the finger transitions from one sensing electrode to the next, jerky motion, jumps or other non-linear artifacts appear. We demonstrate that interdigitation can improve transition behavior and discuss interpolation algorithms to best leverage such designs. We provide software for reproducing our sensors and experiment, as well as a dataset consisting of 1122 swipe gestures performed on 17 sensors.

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Multi‐Modal Modular Textile Sensor for Physical Human–Robot Interaction Using Band‐Stop Filters

Kim,

Park

2023

Adv Funct Materials

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For safe coexistence between robots and humans, it is important for robots to detect the presence of nearby humans as well as any physical contacts made to its body. The design of a modular textile sensor array and an algorithm for multi‐modal sensing of human touches and other contacts with their contact forces proposed. Each sensor module in the array is capable of multi‐modal sensing, and the entire array with multiple modules requires only two wires to read the outputs from all the modules using band‐stop filter circuits. The proposed sensor system shows the structural modularity, achieved by simple fabrication of sequential lamination of conductive and non‐conductive textile materials, realizing electrical connections through conductive snap buttons that connect the modules to the circuit. The functional modularity is also achieved through the compensation algorithm, derived from the analysis of the transfer function in the frequency domain. The algorithm significantly reduces signal interferences between modules. The multi‐modality, the textile‐based design, and the structural and functional modularity of the proposed system enable practical applications to various robotic systems, including robotic skin for a collaborative robot, a wearable sensor, a robot hand sensor, and a human–computer interface, as demonstrated in this study.

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zPatch

Abstract: Figure 1-Hand approaching and pressing a zPatch: (a) initially, the patch does not detect the hand, (b, c) as the hand approaches the sensor, hover is detected, (d, e) once the hand touches the sensor, the exerted pressure is reported.

Cited by 43 publications

References 42 publications

Frequency-Based Design of Smart Textiles

Frequency-Based Design of Smart Textiles

Optimizing Pressure Matrices

Multi‐Modal Modular Textile Sensor for Physical Human–Robot Interaction Using Band‐Stop Filters

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