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

被引:14
作者
Crist, Courtney A. [1 ]
Duncan, Susan E. [1 ]
Gallagher, Daniel L. [2 ]
机构
[1] Virginia Tech, Food Sci & Technol, Blacksburg, VA 24061 USA
[2] Virginia Tech, Civil & Environm Engn, Blacksburg, VA 24061 USA
来源
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS | 2016年 / 114期
基金
美国食品与农业研究所;
关键词
Behavior; Issue; 114; Facial Expression Analysis; Sensory Evaluation; Emotion; Beverage; Food Science; Time Series Analysis; Dairy; NERVOUS-SYSTEM RESPONSES; FOODS; EMOTIONS; ADULTS;
D O I
10.3791/54046
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:15
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