Sensors 2013, 13(5), 6109-6140; doi:10.3390/s130506109

A Wearable Mobile Sensor Platform to Assist Fruit Grading

1 NatalNet Laboratory, Technology Center, Federal University of Rio Grande do Norte (UFRN), 59078-900 Natal, RN, Brazil 2 Embrapa Instrumentation, Brazilian Agricultural Research Corporation, Rua Quinze de Novembro,1452, P.O. Box 741, 13560-970 São Carlos, SP, Brazil
* Author to whom correspondence should be addressed.
Received: 20 April 2013; in revised form: 24 April 2013 / Accepted: 26 April 2013 / Published: 10 May 2013
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Abstract: Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people’s attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruits.
Keywords: ubiquitous computing; mobile sensing; glove-based platform; fruit grading; wearable computing

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MDPI and ACS Style

Aroca, R.V.; Gomes, R.B.; Dantas, R.R.; Calbo, A.G.; Gonçalves, L.M.G. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors 2013, 13, 6109-6140.

AMA Style

Aroca RV, Gomes RB, Dantas RR, Calbo AG, Gonçalves LMG. A Wearable Mobile Sensor Platform to Assist Fruit Grading. Sensors. 2013; 13(5):6109-6140.

Chicago/Turabian Style

Aroca, Rafael V.; Gomes, Rafael B.; Dantas, Rummennigue R.; Calbo, Adonai G.; Gonçalves, Luiz M.G. 2013. "A Wearable Mobile Sensor Platform to Assist Fruit Grading." Sensors 13, no. 5: 6109-6140.

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