Comparison and characterization of a typical strain gage trace against another using the printed method

Quintero, Jairo; Mancosu, Rafael Drumond

doi:10.1109/esime.2010.5464553

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Electro-mechanical properties of the inkjet-printed strain sensors are comparable to the other commercially available strain gauges [62]. It is also possible to print sensor arrays (of strain gauges) using inkjet printing [56].…”

Section: Inkjet-printed Strain Sensorsmentioning

confidence: 98%

Strain Sensors in Wearable Devices

Farooq

Sazonov

2015

Smart Sensors, Measurement and Instrumentation

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Abstract. This chapter discusses the use of strain sensors in wearable devices. Strain sensors are used to monitor deformation under applied load. Various techniques for the fabrication of strain sensors are discussed and some example applications are presented. Special focus is placed on textile based and inkjet-printed strain sensors. Textile based strain sensors open new frontiers for wearable systems by integrating sensors into garments which can be used for extended periods of time. Inkjet printing along with conductive inkjet inks provides low cost, efficient, and rapid prototyping solution for implementation of strain sensors in wearable devices. Applications in the area of remote monitoring of physiological signals, vital signs, and human activity are presented.

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Section: Inkjet-printed Strain Sensorsmentioning

confidence: 98%

Strain Sensors in Wearable Devices

Farooq

Sazonov

2015

Smart Sensors, Measurement and Instrumentation

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Comparative testing of piezoelectric and printed strain sensors in characterization of chewing

Farooq

Sazonov

2015

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Results of recent research suggest that there may be a relationship between the eating rate and the total energy intake in a meal. The chewing rate is an indicator of the eating rate that may be measured by a sensor. A number of wearable solutions have been presented for the automatic detection of chewing, but little work has been done on counting chews automatically. With recent developments in printing technologies, it is possible to draw or print application specific sensors. This paper provides a comparison between an off the shelf piezoelectric strain sensor and a plotter drawn strain sensor for quantifying the number of chews for several food items. Piezoelectric strain sensor and plotter drawn strain sensors were able to achieve absolute mean error rates of 8.09 ± 7.16% and 8.26 ± 7.51% respectively for estimating the number of chew counts. This shows that a plotter drawn sensor can achieve similar performance while potentially providing an easily reconfigurable solution.

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