Reel-to-reel fabrication of strain sensing threads and realization of smart insole

Alaimo, Francesco; Sadeqi, Aydin; Nejad, Hojatollah Rezaei; Jiang, Yi-Wen; Wang, Wei; Demarchi, Danilo; Sonkusale, Sameer

doi:10.1016/j.sna.2019.111741

Cited by 22 publications

(11 citation statements)

References 30 publications

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“…The thread (Gütermann elastic thread: 64% Polyester, 36% Polyurethane; Made in Germany) is first manually coated with Carbon Resistive Ink (C-200 Carbon Resistive Ink; Applied Ink Solutions; Westborough, MA, USA). A more systematic procedure for reel-to-reel coating could also have been employed 21 . In order to ensure the thread is completely covered, the thread is first stretched to its maximum length then coated.…”

Section: Resultsmentioning

confidence: 99%

“…The thread presents a natural drift in resistance over time and over multiple uses due to displacement of conductive carbon particulate on the thread, and as a result of plastic deformation of the EcoFlex coating. This issue can be easily accounted for in the algorithm with periodic calibration and has been investigated in our past publication 21 .…”

Section: Resultsmentioning

confidence: 99%

“…Smart thread-based sensors would provide an alternative possibility to the current head motion monitoring methods with high flexibility and efficiency. Current thread-based sensors utilize manufacturing procedures that include use of materials that directly measure strain as well as others for which strain is inferred based on changes in the electrical conductivity of an extrinsically applied coating [11][12][13][14][15][16][17][18][19][20][21][22] . With their increasing popularity, thread-based sensors have been used as means for non-obtrusive data collection methods for sweat and respiration monitoring as well as for joint and finger motion detection [23][24][25] .…”

mentioning

confidence: 99%

“…Extrinsically coated sensor thread has been used for gas detection purposes 26 and electromagnetic devices like antennas [26][27][28] . Our group has developed a carbon-coated strain sensor and demonstrated its use in gait monitoring [20][21][22] . In this paper, we incorporate the use of thread-based sensors into the monitoring and collection of head motion.…”

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confidence: 99%

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Head motion classification using thread-based sensor and machine learning algorithm

Jiang

Sadeqi

Miller

et al. 2021

Sci Rep

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Human machine interfaces that can track head motion will result in advances in physical rehabilitation, improved augmented reality/virtual reality systems, and aid in the study of human behavior. This paper presents a head position monitoring and classification system using thin flexible strain sensing threads placed on the neck of an individual. A wireless circuit module consisting of impedance readout circuitry and a Bluetooth module records and transmits strain information to a computer. A data processing algorithm for motion recognition provides near real-time quantification of head position. Incoming data is filtered, normalized and divided into data segments. A set of features is extracted from each data segment and employed as input to nine classifiers including Support Vector Machine, Naive Bayes and KNN for position prediction. A testing accuracy of around 92% was achieved for a set of nine head orientations. Results indicate that this human machine interface platform is accurate, flexible, easy to use, and cost effective.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Head motion classification using thread-based sensor and machine learning algorithm

Jiang

Sadeqi

Miller

et al. 2021

Sci Rep

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“…Thread has been recently used as strain sensors [36], [37], colorimetric gas sensor [38] and antenna [39]- [43] for wearable applications due to its pliability. In this application, the dipole antenna is built with a conductive pliable thread [43], which is made of a polymer inner layer surrounded by a metal outer layer.…”

Section: B Foldable Antenna Designmentioning

confidence: 99%

Cost-Effective Wireless Sensors for Detection of Package Opening and Tampering

et al. 2020

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There is a need to develop a simple cost-effective approach for wireless detection of whether package is or was open en route during transportation. Existing approaches rely on electronic devices that need sensors with on-board and continuous power source for sensing and data logging. This paper presents three different battery-free, cost-effective, Radio-Frequency Identification (RFID)-based solutions for the detection of tampering or package opening. The first solution is for real-time opening detection. Opening or closing the package leads to unfolding or folding of the flexible-based antenna, which activates or deactivates the RFID tag. The second solution is for recording and memorizing package opening using a printed switch that shunts the antenna of the RFID tag. Opening causes a permanent disconnection of this switch activating the RFID. This change is irreversible; thus, the sensor memorizes the specific opening event without any additional electronic memory device. The third solution is for all-around package security using an RFID-based thread. Opening the package from any side allows changes in the radiation profile so the package condition can be wirelessly sensed. The approaches have been simulated and validated experimentally.

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Carbon Fiber‐Based Smart Plantar Pressure Mapping Insole System for Remote Gait Analysis and Motion Identification

Liu

Zeng

et al. 2023

Adv Materials Technologies

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Traditional approaches for monitoring human gait have severe spatial and temporal restrictions with complex analysis methods and high cost, which are powerless to promote the development of intelligent life involving fitness, sport training, and healthcare. Herein, a portable smart insole system with high spatial resolution and simple manufacturing process to measure plantar pressure distribution anytime, anywhere for gait analysis is proposed. An insole‐shaped array of 104 piezoresistive sensors with highly robust characteristics is assembled, exhibiting a good pressure‐sensing uniformity. The smart insole not only detects the subtle displacement of the center of gravity of the body, but also exhibits a real‐time, high‐resolution thermodynamic diagram of the plantar pressure distribution during human activities. More importantly, the function of motion intelligence identification can be realized by regionalizing and digitizing the whole plantar pressure distribution, achieving an average recognition accuracy of 83.32% among six predefined motions. These results imply that the carbon fiber‐based smart insole can provide an effective approach for convenient gait analysis and motion identification, which has a great potential in the application of future intelligent life.

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Reel-to-reel fabrication of strain sensing threads and realization of smart insole

Cited by 22 publications

References 30 publications

Head motion classification using thread-based sensor and machine learning algorithm

Head motion classification using thread-based sensor and machine learning algorithm

Cost-Effective Wireless Sensors for Detection of Package Opening and Tampering

Carbon Fiber‐Based Smart Plantar Pressure Mapping Insole System for Remote Gait Analysis and Motion Identification

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