scholarly journals Expression Measurement Array

2020 ◽  
Author(s):  
Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 553
Author(s):  
Suresh Neethirajan ◽  
Inonge Reimert ◽  
Bas Kemp

Understanding animal emotions is a key to unlocking methods for improving animal welfare. Currently there are no ‘benchmarks’ or any scientific assessments available for measuring and quantifying the emotional responses of farm animals. Using sensors to collect biometric data as a means of measuring animal emotions is a topic of growing interest in agricultural technology. Here we reviewed several aspects of the use of sensor-based approaches in monitoring animal emotions, beginning with an introduction on animal emotions. Then we reviewed some of the available technological systems for analyzing animal emotions. These systems include a variety of sensors, the algorithms used to process biometric data taken from these sensors, facial expression, and sound analysis. We conclude that a single emotional expression measurement based on either the facial feature of animals or the physiological functions cannot show accurately the farm animal’s emotional changes, and hence compound expression recognition measurement is required. We propose some novel ways to combine sensor technologies through sensor fusion into efficient systems for monitoring and measuring the animals’ compound expression of emotions. Finally, we explore future perspectives in the field, including challenges and opportunities.


2003 ◽  
Vol 24 (3) ◽  
pp. 458-465 ◽  
Author(s):  
Hiroko Matsunaga ◽  
Takashi Anazawa ◽  
Edward S. Yeung

Author(s):  
Mehdi Zouiouich ◽  
Morgane Gossez ◽  
Fabienne Venet ◽  
Thomas Rimmelé ◽  
Guillaume Monneret

2007 ◽  
Vol 1 (S1) ◽  
Author(s):  
Richard Pearson

2009 ◽  
Vol 364 (1535) ◽  
pp. 3505-3513 ◽  
Author(s):  
Maja Pantic

This article introduces recent advances in the machine analysis of facial expressions. It describes the problem space, surveys the problem domain and examines the state of the art. Two recent research topics are discussed with particular attention: analysis of facial dynamics and analysis of naturalistic (spontaneously displayed) facial behaviour. Scientific and engineering challenges in the field in general, and in these specific subproblem areas in particular, are discussed and recommendations for accomplishing a better facial expression measurement technology are outlined.


Author(s):  
John Daly ◽  
Mark Davies

The Polymerase Chain Reaction (PCR) has been used extensively to amplify targeted nucleic acids for many applications in molecular biology and, increasingly, in medical diagnostics. Outlined in this paper is a PCR device which takes account of the advantages offered by free convection. The design is, in it fundamental format a time-wise isothermal well-based thermocycler. A temperature gradient induced across the well causes convection forces to circulate the sample through the required temperatures necessary for amplification. Quantitative amplification is demonstrated with real time measurements of SYBR Green I fluorescence within the free convective DNA amplifier. Amplification of an 86-bp fragment of the pGEM®-T vector (Promega) is performed in a 25μl volume in eight minutes. A 10-fold dilution series and methods for calculating effective cycle times are presented. Also detailed within this paper are PIV and thermal imaging results of the free convection cavity. This device presents an opportunity for the development of a practical and inexpensive gene-expression measurement system.


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