Individually Addressable Multitouch Sensors Using a Sweep Signal for Minimal Wiring Complexity

Lee, Dongyoung; Bae, Joonbum

doi:10.1109/tie.2023.3277074

Cited by 2 publications

(1 citation statement)

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“…They measure the force or touch applied to sensors by analyzing variations in the signal graph in the frequency domain. [50][51][52][53] However, these methods can detect only one type of stimuli.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%