Adaptation Physiology Group, Department of Animal Sciences, Wageningen University & Research, 6700 AH Wageningen, The Netherlands.
Sensors (Basel). 2021 Jan 14;21(2):553. doi: 10.3390/s21020553.
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.
理解动物的情感是解锁改善动物福利方法的关键。目前,尚无“基准”或任何科学评估方法可用于衡量和量化农场动物的情绪反应。使用传感器来收集生物计量数据作为衡量动物情绪的一种手段,是农业技术中日益受到关注的一个话题。在这里,我们回顾了基于传感器的方法在监测动物情绪方面的几个方面,首先介绍了动物的情绪。然后,我们回顾了一些现有的用于分析动物情绪的技术系统。这些系统包括各种传感器、用于处理来自这些传感器的生物计量数据的算法、面部表情和声音分析。我们得出的结论是,基于动物的面部特征或生理功能的单一情感表达测量不能准确地显示农场动物的情感变化,因此需要进行复合表达识别测量。我们提出了一些新的方法,通过传感器融合将传感器技术组合成有效的系统,用于监测和测量动物的复合情感表达。最后,我们探讨了该领域的未来展望,包括挑战和机遇。