Using an EeonTex Conductive Stretchable Elastic Fibre for Hand Action Recognition

Article Preview

Abstract:

Tactile sensors in wearable devices have gained attention for their potential applications in enhancing amenability, generation, and functionality for the human body, including sensing and control. This study elaborates on the design of a tactile sensor consisting of EeonTex conductive stretchable elastic fibre, which possesses a bi-directionally stretchable elastic fibre, and was formulated by coating nylon/spandex with a long-lasting conductive formulation. This fabric has proven to be beneficial for use in various different e-tactile applications. The authors systematically investigated the performance of the tactile sensor via 2 different manipulative gestures on a part of the upper limb of two different subjects. The tactile sensor was observed to change its electrical resistance when mechanical force was applied to its surface. It was also noted to be lightweight, inexpensive, stretchable, flexible, and easy to design and set up. This type of tactile sensor possesses the ability to recognise the intention of muscle movement and measure the muscle activities from the forearm. The prime objective of this study was to use such sensors as sleeves mounted on the forearms of the upper limbs. The reasoning behind this was that when muscle contract, they change their shape which in turn results in mechanical pressure being applied to the sensor. Experimental results showed that the tactile sensor’s feedback successfully detected open/closed hands when the sensor sleeve was worn on the forearm region.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3-10

Citation:

Online since:

October 2023

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2023 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] T. Stefanou; G. Chance; T. Assaf & S. Dogramadzi, Tactile signatures and hand motion intent recognition for wearable assistive: robotics and AI, Vol.6, pp.124-124, 2019.

DOI: 10.3389/frobt.2019.00124

Google Scholar

[2] Y. Chia, M. Rita, Soft robotic devices for hand rehabilitation and assistance: a narrative review. Journal of NeuroEngineering and Rehabilitation,2018.

DOI: 10.1186/s12984-018-0350-6

Google Scholar

[3] R.F. Shepherd; F. Ilievski; W.Choi; S.A. Morin; A.A. Stokes; A. D. Mazzeo; X. Chen; M. Wang; G. M. Whitesides, Multigait soft robot. Proceedings of the National Academy of Sciences. 118,20400-20403, USA 2011.

DOI: 10.1073/pnas.1116564108

Google Scholar

[4] D.B. Camarillo; C.R Carlson.; J.K. Salisbury, Configuration tracking for continuum manipulators with coupled tendon drive. IEEE Trans. Robot,25,798-808,2018.

DOI: 10.1109/tro.2009.2022426

Google Scholar

[5] K. Elgeneidy; N. Lohse; M. Jackson, Bending Angle Prediction and Control of Soft Pneumatic Actuators with Embedded Flex Sensors-A Data-driven Approach Mechatronics, Mechatronics 50,234,247,2018.

DOI: 10.1016/j.mechatronics.2017.10.005

Google Scholar

[6] G. Ponraj; S. K. Kirthinka; C. M. Lim, & H. Ren, Soft Tactile Sensors with Inkjet-Printing Conductivity and Hydrogel Biocompatibility for Retractors in Cadaveric Surgical Trials. Journal and Magazine, IEEE Sensors Journal, Volume 18, Issue:23,2018.

DOI: 10.1109/jsen.2018.2871242

Google Scholar

[7] T. Agcayazi; M. McKnight; H. Kausche; T. Ghosh and A. Bozkurt, A finger touch force detection method for textile based capacitive tactile sensor arrays, 2016 IEEE SENSORS, Orlando, FL, pp.1-3, 2016.

DOI: 10.1109/icsens.2016.7808528

Google Scholar

[8] H.K. Lee; S.I. Chang and E. Yoon, A Flexible Polymer Tactile Sensor: Fabrication and Modular Expandability for Large Area Deployment, in Journal of Microelectromechanical Systems, vol. 15, no. 6, pp.1681-1686, Dec. 2006.

DOI: 10.1109/jmems.2006.886021

Google Scholar

[9] T. Kasahara; M. Mizushima; H. Shinohara; T. Obata; T. Futakuchi; S. Shoji and J. Mizuno, Simple and Low-Cost Fabrication of Flexible Capacitive Tactile Sensors. In Japan Journal Applied Physics, vol. 50, pp.0165026016502-5, Jan. 2011.

DOI: 10.7567/jjap.50.016502

Google Scholar

[10] J.G. Rocha; C. Santos; J.M Cabral and S. Lanceros-Mendez, 3 Axis Capacitive Tactile Sensor and Readout Electronics, 2006 IEEE International Symposium on Industrial Electronics, Montreal, Que., pp.2767-2772, 2006.

DOI: 10.1109/isie.2006.296052

Google Scholar

[11] Kim, W.S.; Lee, H.D.; Lim, D.H.; Han, J.S.; Shin, K.S.; Han, C.S. Development of a muscle circumference sensor to estimate torque of the human elbow joint. Sens. Actuators A 2014, 208, 95–103.

DOI: 10.1016/j.sna.2013.12.036

Google Scholar

[12] Han, H.; Kim, J. Active muscle stiffness sensor based on piezoelectric resonance for muscle contraction estimation. Sens. Actuators A 2013, 194, 212–219.

DOI: 10.1016/j.sna.2013.01.054

Google Scholar

[13] Guo, J.Y.; Zheng, Y.P.; Xie, H.B.; Chen, X. Continuous monitoring of electromyography (EMG), mechanomyography (MMG), sonomyography (SMG) and torque output during ramp and step isometric contractions. Med. Eng. Phys. 2010, 32, 1032–1042.

DOI: 10.1016/j.medengphy.2010.07.004

Google Scholar

[14] Kenney, L.P.; Lisitsa, I.; Bowker, P.; Heath, G.H.; Howard, D. Dimensional change in muscle as a control signal for powered upper limb prostheses: A pilot study. Med. Eng. Phys. 1999, 21, 589–597.

DOI: 10.1016/s1350-4533(99)00089-2

Google Scholar

[15] Jung, P.G.; Lim, G.; Kim, S.; Kong, K. A Wearable Gesture Recognition Device for Detecting Muscular Activities Based on Air-Pressure Sensors. IEEE Trans. Ind. Inform. 2015, 11, 485–494.

DOI: 10.1109/tii.2015.2405413

Google Scholar

[16] Bansal, A.K.; Hou, S.; Kulyk, O.; Bowman, E.M.; Samuel, I.D.W. Wearable Organic Optoelectronic Sensors for Medicine. Adv. Mater. 2015, 27, 1521–4095.

DOI: 10.1002/adma.201403560

Google Scholar

[17] Gargiulo, G.D.; Bifulco, P.; Cesarelli, M.; Jin, C.; McEwan, A.; van Schaik, A. Wearable dry sensors with Bluetooth connection for use in remote patient monitoring systems. Stud. Health Technol. Inform. 2010, 161, 57–65.

Google Scholar

[18] Lebosse, C.; Renaud, P.; Bayle, B.; de Mathelin, M. Modelling and Evaluation of Low-Cost Force Sensors. IEEE Trans. Robot. 2011, 27, 815–822.

DOI: 10.1109/tro.2011.2119850

Google Scholar

[19] Tiwana, M.; Redmond, S.; Lovell, N. A review of tactile sensing technologies with applications in biomedical engineering. Sens. Actuators A Phys. 2012, 179, 17–31.

DOI: 10.1016/j.sna.2012.02.051

Google Scholar

[20] Y. Kadowaki; T. Noritsugu; M.Takaiwa; D.Sasaki; & M. Kato, Development of soft power- assist glove and control based on human intent. Journal of Robotics and Mechatronics, 23(2), 281, 2011.

DOI: 10.20965/jrm.2011.p0281

Google Scholar

[21] D. Sasaki; T. Noritsugu,; M. Takaiwa,& H. Konishi, Control Method Based on EMG for power Assist Glove Using Self-Organizing Maps. Journal-ref: International Journal of Automation Technology, 8(2), 177-185, 2014.

DOI: 10.20965/ijat.2014.p0177

Google Scholar

[22] K.C. Galloway; J.E. Clark, & D.E. Koditschek, Variable stiffness leg for robust, efficient, and stable dynamic running. Journal of Mechanisms and Robotics, 5(1), 011009, (2013)

DOI: 10.1115/1.4007843

Google Scholar