Name: protocol for data collection and analysis applied to automated facial expression analysis technology and temporal analysis for sensory evaluation
Uploaded: 2016-08-26T13:00:00
Description: Watch this Scientific Journal Video about Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation at JoVE.com

This project was funded, in part, by ConAgra Foods (Omaha, NE, USA), the Virginia Agricultural Experiment Station, the Hatch Program of the National Institute of Food and Agriculture, U.S. Department of Agriculture, and the Virginia Tech Water INTERface Interdisciplinary Graduate Education Program.

Etik Statement: Denne undersøgelse blev forhåndsgodkendt af Virginia Tech Institutional Review Board (IRB) (IRB 14-229) før du starter projektet. Forsigtig: Menneskelig emne forskning kræver informeret samtykke forud for deltagelse. Ud over IRB godkendelse, samtykke til brug af stille eller videobilleder er også påkrævet inden den overgår nogen billeder til tryk, video eller grafisk billedbehandling. Derudover er fødevareallergener oplyses før testning. Deltagerne bliver bedt om før panel start, hvis de har nogen intolera...

<ol>
	<li>De Wijk, R. A., Kooijman, V., Verhoeven, R. H. G., Holthuysen, N. T. E., De Graaf, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Autonomic+nervous+system+responses+on+and+facial+expressions+to+the+sight,+smell,+and+taste+of+liked+and+disliked+foods.">Autonomic nervous system responses on and facial expressions to the sight, smell, and taste of liked and disliked foods.</a> Food Qual Prefer. 26 (2), 196-203 (2012).</li><li>De Wijk, R. A., He, W., Mensink, M. G. J., Verhoeven, R. H. 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Optimization of a verbal measurement of odor-elicited emotions.</a> Food Qual Prefer. 21, 938-947 (2010).</li><li>Warrenburg, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effects+of+fragrance+on+emotions:+Moods+and+physiology.">Effects of fragrance on emotions: Moods and physiology.</a> Chem. Senses. 30, i248-i249 (2005).</li><li>Bredie, W. L. P., Tan, H. S. G., Wendin, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+comparative+study+on+facially+expressed+emotions+in+response+to+basic+tastes.">A comparative study on facially expressed emotions in response to basic tastes.</a> Chem. Percept. 7 (1), 1-9 (2014).</li><li>Wendin, K., Allesen-Holm, B. H., Bredie, L. 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Afea ansøgning i litteraturen relateret til mad og drikke er meget begrænset 1-11. Ansøgningen til fødevarer er nyt, hvilket skaber mulighed for etablering af metodologi og data fortolkning. Arnade (2013) 7 fundet høj individuel variation blandt individuelle følelsesmæssige respons på kakaomælk og hvid mælk ved hjælp areal under kurven analyse og analyse af varians. Men selv med deltageren variabilitet, deltagerne genererede en glad reaktion længere mens trist og væmmes havde kortere t...

Automatiseret ansigtsudtryk analyse (Afea) er et prospektivt analytisk redskab til at karakterisere følelsesmæssige reaktioner på drikkevarer og fødevarer. Følelsesmæssig analyse kan tilføje en ekstra dimension til eksisterende sensoriske videnskab metoder, evaluering mad praksis og hedoniske skala ratings typisk anvendes både i indstillinger forskning og industri. Følelsesmæssig analyse kunne give en ekstra metrik, som afslører en mere præcis reaktion på fødevarer og drikkevarer. Hedoniske scoring kan omfatte deltager skævhed som følge af manglende optage reaktioner 1. Afea forskning er blevet brugt i mange forskningsansøgninger, herunder computerspil, brugeradfærd, uddannelse / pædagogik og psykologi undersøgelser af empati og bedrag. Det meste mad-associeret forskning har fokuseret på karakterisering af følelsesmæssig reaktion på fødevarekvalitet og menneskelig adfærd med mad. Med den seneste tendens i at få indsigt i fødevarer adfærd, en voksende mængde af litteratur rapporter bruger af Afeatil karakterisering af det menneskelige følelsesmæssige reaktion ved fødevarer, drikkevarer og lugtstoffer 1-12. Afea er afledt af Facial Action Coding System (FACS). Den facial handling kodesystem (FACS) diskriminerer ansigts bevægelser karakteriseret ved action enheder (AUS) på en 5-punkts intensitet skalaen 13. Den FACS tilgang kræver uddannede anmeldelse eksperter, manuel kodning, betydelig evaluering tid, og giver begrænsede data analysemuligheder. Afea blev udviklet som en hurtig evaluering metode til bestemmelse følelser. Afea software er afhængig af facial muskuløs bevægelse, ansigts databaser og algoritmer til at karakterisere den følelsesmæssige reaktion 14-18. Den Afea software, der anvendes i denne undersøgelse nåede et &quot;FACS indeks over aftalen af ​​0,67 i gennemsnit på både Warszawa Sæt af Emotional ansigtsudtryk Billeder (WSEFEP) og Amsterdam Dynamisk Facial Expression Set (ADFES), hvilket er tæt på en standardaftale på 0,70 til manuel kodning &quot;19 </sup&gt;. Universal følelser indgår i analysen er glade (positiv), trist (negativ), væmmes (negativ), overrasket (positivt eller negativt), vred (negativ), bange (negativ) og neutral hver på en separat skala fra 0 til 1 ( 0 = ikke udtrykkes, 1 = fuldt udtrykt) 20. Desuden psykologi litteratur omfatter glad, overrasket og vred som &quot;metode&quot; følelser (mod stimuli) og trist, bange, og væmmes som &quot;tilbagetrækning&quot; følelser (væk fra afskrækningsmiddel stimuli) 21. En begrænsning ved det nuværende Afea software til karakterisering følelser forbundet med fødevarer er interferens fra ansigts bevægelser er forbundet med at tygge og synke samt andre grovmotoriske bevægelser, såsom ekstreme hovedbevægelser. Softwaren er rettet mod mindre facial muskuløse bevægelser, der vedrører position og graden af bevægelse, baseret på over 500 muskel punkter på ansigtet 16,17. Chewing bevægelser forstyrrer klassificering af udtryk. Denne grænseation kan rettes ved hjælp af flydende fødevarer. Imidlertid kan andre metoder udfordringer også falde video følsomhed og Afea analyse, herunder dataindsamling miljø, teknologi, forsker instruktioner, deltager adfærd, og deltager attributter. En standardmetode er ikke blevet udviklet og kontrolleret for optimal videooptagelse og dataanalyse ved hjælp Afea for følelsesmæssig reaktion på fødevarer og drikkevarer i en sensorisk bedømmelse laboratorium indstilling. Mange aspekter kan påvirke videooptagelse miljøet, herunder belysning, shadowing grundet belysning, deltager retninger, deltager adfærd, deltager højde, samt, kamera højde, kamera lystfiskeri, og indstillinger udstyr. Desuden data analysemetoder er uforenelige, og mangler en standard metode til vurdering følelsesmæssig reaktion. Her vil vi demonstrere vores standardprocedure til at opfange emotionelle data og behandling af data i meningsfulde resultater ved hjælp af drikkevarer (aromatiseret mælk, unflavored mælk og unflavored vand) til evaluering. Til vores viden kun én peer reviewed publikation, fra vores laboratorium gruppe, har udnyttet tidsserier for data tolkning for følelser analyse 8; imidlertid har metoden blevet opdateret til vores foreliggende fremgangsmåde. Vores mål er at udvikle en forbedret og konsekvent metode til at hjælpe med reproducerbarhed i en sensorisk bedømmelse laboratorium indstilling. For demonstration, at formålet med undersøgelsen modellen er at vurdere, om Afea kan supplere traditionel hedoniske accept vurdering af aromatiseret mælk, unflavored mælk og unflavored vand. Hensigten med denne video protokol er at hjælpe med at etablere Afea metode, standardisere video capture kriterier i en sensorisk bedømmelse laboratorium (sensorisk kabine indstilling), og illustrere en metode til tidsmæssig følelsesmæssige dataanalyse af en population.

<table border="0" cellpadding="0" cellspacing="0" width="1087">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">2% Reduced Fat Milk</td>
			<td style="width:436px;">Kroger Brand, Cincinnati, OH or DZA Brands, LLC, Salisbury, NC</td>
			<td style="width:119px;">na</td>
			<td style="width:316px;">for solutions</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Drinking Water</td>
			<td>Kroger Brand, Cincinnati, OH</td>
			<td style="width:119px;">na</td>
			<td>for solutions</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Imitation Clear Vanilla Flavor</td>
			<td>Kroger Brand, Cincinnati, OH</td>
			<td style="width:119px;">na</td>
			<td>for solutions</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Iodized Salt</td>
			<td>Kroger Brand, Cincinnati, OH</td>
			<td style="width:119px;">na</td>
			<td>for solutions</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">FaceReader 6</td>
			<td style="width:436px;">Noldus Information Technology, Wageningen, The Netherlands</td>
			<td style="width:119px;">na</td>
			<td>For Facial Analysis</td>
		</tr>
		<tr height="63">
			<td height="63" style="height:63px;width:216px;">Sensory Information Management System (SIMS) 2000</td>
			<td style="width:436px;">Sensory Computer Systems, Berkeley Heights, NJ</td>
			<td style="width:119px;">Version 6</td>
			<td>For Sensory Data Capture</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Rhapsody</td>
			<td style="width:436px;">Acuity Brands Lighting, Inc., Conyers, GA</td>
			<td style="width:119px;"></td>
			<td>For Environment Illumination</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">R Version&#160;</td>
			<td style="width:436px;">R Core Team 2015</td>
			<td style="width:119px;">3.1.1</td>
			<td>For Statistical Analysis</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Microsoft Office</td>
			<td style="width:436px;">Microsoft</td>
			<td style="width:119px;">na</td>
			<td>For Statistical Analysis</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">JMP</td>
			<td style="width:436px;">Statistical Analysis Software (SAS) Version 9.2, SAS Institute, Cary, NC</td>
			<td style="width:119px;">na</td>
			<td>For Statistical Analysis</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Media Recorder 2.5</td>
			<td style="width:436px;">Noldus Information Technology, Wageningen, The Netherlands</td>
			<td style="width:119px;">na</td>
			<td>For capturing participants sensory evaluation</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Axis M1054 Camera</td>
			<td style="width:436px;">Axis Communications, Lund, Sweden</td>
			<td style="width:119px;">na</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Beverage</td>
			<td style="width:436px;"></td>
			<td style="width:119px;">na</td>
			<td>Beverage or soft food for evaluation</td>
		</tr>
	</tbody>
</table>

protocol for data collection and analysis applied to automated facial expression analysis technology and temporal analysis for sensory evaluation

We demonstrate a method for capturing emotional response to beverages and liquefied foods in a sensory evaluation laboratory using automated facial expression analysis (AFEA) software. Additionally, we demonstrate a method for extracting relevant emotional data output and plotting the emotional response of a population over a specified time frame. By time pairing each participant's treatment response to a control stimulus (baseline), the overall emotional response over time and across multiple participants can be quantified. AFEA is a prospective analytical tool for assessing unbiased response to food and beverages. At present, most research has mainly focused on beverages. Methodologies and analyses have not yet been standardized for the application of AFEA to beverages and foods; however, a consistent standard methodology is needed. Optimizing video capture procedures and resulting video quality aids in a successful collection of emotional response to foods. Furthermore, the methodology of data analysis is novel for extracting the pertinent data relevant to the emotional response. The combinations of video capture optimization and data analysis will aid in standardizing the protocol for automated facial expression analysis and interpretation of emotional response data.

Metoden foreslår en standard protokol for Afea dataindsamling. Hvis følges foreslåede protokol trin, ubrugelig følelsesmæssig data output (figur 1) som følge af dårlig dataindsamling (Figur 2: A; Venstre Picture) kan være begrænset. Tidsserieanalyse ikke kan udnyttes, hvis logfiler (.txt) overvejende indeholde &quot;FIT_FAILED&quot; og &quot;FIND_FAILED&quot;, da dette er dårlige data (Figur 1). Endvidere indbefatter fremgangsm...

Watch this Scientific Journal Video about Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation at JoVE.com

Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

En protokol til at opfange og statistisk analyse af følelsesmæssig reaktion af en befolkning til drikkevarer og flydende fødevarer i en sensorisk bedømmelse laboratorium ved hjælp automatiseret ansigtsudtryk analyse software er beskrevet.

Protokol for Dataindsamling og analyse Anvendt til Automatiseret Facial Expression Analyse Teknologi og Temporal Analyse for Sanse Evaluering

We demonstrate a method for capturing emotional response to beverages and liquefied foods in a sensory evaluation laboratory using automated facial ...

Research

JoVE Journal

Behavior

Contextual and Cued Fear Conditioning Test Using a Video Analyzing System in Mice

Kontekstuelle og spolet frem Frygt Conditioning test med en Video Analyse System i mus

The contextual and cued fear conditioning test is one of the behavioral tests that assesses the ability of mice to learn and remember an association ...

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Måling af Fronto-limbiske aktivitet Brug af en følelsesmæssig Oddball Opgave i børn med Familiær høj risiko for skizofreni

Adolescence is a critical developmental period where the early symptoms of schizophrenia frequently emerge. First-degree relatives of people with ...

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

Optagelse Mouse Ultrasonic vocalizations at vurdere Social Kommunikation

Mice emit ultrasonic vocalizations in different contexts throughout development and in adulthood. These vocal signals are now currently used as proxies ...

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Måling Opmærksomhed og Visual Processing Speed ​​af Modelbaseret analyse af Temporal ordens Domme

This protocol describes how to conduct temporal-order experiments to measure visual processing speed and the attentional resource distribution. The ...

Automated Analysis of a Nematode Population-based Chemosensory Preference Assay

Automatiseret analyse af en Nematode Befolkningsbaseret Chemosensory Preference Assay

The nematode, Caenorhabditis elegans' compact nervous system of only 302 neurons underlies a diverse repertoire of behaviors. To facilitate the dissection ...

Virtual Reality Experiments with Physiological Measures

Virtual Reality eksperimenter med fysiologiske foranstaltninger

Virtual reality (VR) experiments are increasingly employed because of their internal and external validity compared to real-world observation and ...

Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

Biomekaniske analysemetoder til at vurdere professionelle badminton Players ' lunge performance

Under the condition of simulating a badminton court in the laboratory, this study used the injury mechanism model to analyze the maximal right lunge ...

Low-cost Protocol of Footprint Analysis and Hanging Box Test for Mice Applied the Chronic Restraint Stress

Low-cost protokol fodaftryk analyse og hængende boks Test for mus anvendes kronisk tilbageholdenhed Stress

Gait disturbance is frequently observed in patients with movement disorders. In mouse models used for movement disorders, gait analysis is important ...

Modified Blood Collection from Tail Veins of Non-anesthetized Mice with a Vacuum Blood Collection System and Eyeglass Magnifier

Modificerede blod samling fra hale vener af ikke-bedøvede mus med en vakuum blod System til indsamling og monokel Forstørrelsesglas

Blood sample collection is the basis of experimental animal research. It is of importance to obtain adequate blood samples for various research purposes. ...

Using Facial Electromyography to Assess Facial Muscle Reactions to Experienced and Observed Affective Touch in Humans

Ved hjælp af Facial Elektromyografi at vurdere Facial muskel reaktioner til erfarne og observerede affektive Touch hos mennesker

"Affective" touch is believed to be processed in a manner distinct from discriminatory touch and to involve activation of C-tactile (CT) afferent fibers. ...