Literature DB >> 24111231

Performances evaluation of piezoresistive fabric sensors as function of yarn structure.

M Pacelli, L Caldani, R Paradiso.   

Abstract

This work focus on the characterization of piezoresistive fabric sensors, realized with conductive yarns that are similar in term of conductive components, but different only in term of geometry, the yarns have been realized according two different production processes while the sensors have been produced following the same process, fabric structure and same materials. The different geometry of the yarns affects dramatically conductivity and functionality of the sensors in term of sensitivity and hysteresis minimization. This result confirms that the functional components can be engineered during the different phases of the process production; to get new properties and new applications. Small changes at fibers level can be fundamental to improve the properties of the fabric sensors.

Mesh:

Year:  2013        PMID: 24111231     DOI: 10.1109/EMBC.2013.6611044

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  A bi-articular model for scapular-humeral rhythm reconstruction through data from wearable sensors.

Authors:  Federico Lorussi; Nicola Carbonaro; Danilo De Rossi; Alessandro Tognetti
Journal:  J Neuroeng Rehabil       Date:  2016-04-23       Impact factor: 4.262

2.  A Synergy-Based Optimally Designed Sensing Glove for Functional Grasp Recognition.

Authors:  Simone Ciotti; Edoardo Battaglia; Nicola Carbonaro; Antonio Bicchi; Alessandro Tognetti; Matteo Bianchi
Journal:  Sensors (Basel)       Date:  2016-06-02       Impact factor: 3.576

Review 3.  Fabrics and Garments as Sensors: A Research Update.

Authors:  Sophie Wilson; Raechel Laing
Journal:  Sensors (Basel)       Date:  2019-08-15       Impact factor: 3.576

4.  New generation of wearable goniometers for motion capture systems.

Authors:  Alessandro Tognetti; Federico Lorussi; Gabriele Dalle Mura; Nicola Carbonaro; Maria Pacelli; Rita Paradiso; Danilo De Rossi
Journal:  J Neuroeng Rehabil       Date:  2014-04-11       Impact factor: 4.262

5.  Inference of human affective states from psychophysiological measurements extracted under ecologically valid conditions.

Authors:  Alberto Betella; Riccardo Zucca; Ryszard Cetnarski; Alberto Greco; Antonio Lanatà; Daniele Mazzei; Alessandro Tognetti; Xerxes D Arsiwalla; Pedro Omedas; Danilo De Rossi; Paul F M J Verschure
Journal:  Front Neurosci       Date:  2014-09-24       Impact factor: 4.677

6.  Wearable Textile Platform for Assessing Stroke Patient Treatment in Daily Life Conditions.

Authors:  Federico Lorussi; Nicola Carbonaro; Danilo De Rossi; Rita Paradiso; Peter Veltink; Alessandro Tognetti
Journal:  Front Bioeng Biotechnol       Date:  2016-03-23
  6 in total

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