Editing Face detection (section)

=== Emotional Inference ===
Face detection can be used as part of a software implementation of [[emotional inference]]. Emotional inference can be used to help people with autism understand the feelings of people around them.<ref>{{Cite journal |last1=Bathelt |first1=Joe |last2=Geurts |first2=Hilde M. |last3=Borsboom |first3=Denny |date=2022-06-01 |title=More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism |url=https://direct.mit.edu/netn/article/6/2/445/108771/More-than-the-sum-of-its-parts-Merging-network |journal=Network Neuroscience |language=en |volume=6 |issue=2 |pages=445–466 |doi=10.1162/netn_a_00222 |issn=2472-1751 |pmc=9207995 |pmid=35733421}}</ref>

AI-assisted emotion detection in faces has gained significant traction in recent years, employing various models to interpret human emotional states. OpenAI's CLIP model<ref>{{Citation |title=openai/CLIP |date=2024-08-16 |url=https://github.com/openai/CLIP |access-date=2024-08-16 |publisher=OpenAI}}</ref> exemplifies the use of deep learning to associate images and text, facilitating nuanced understanding of emotional content. For instance, combined with a network psychometrics approach, the model has been used to analyze political speeches based on changes in politicians' facial expressions.<ref>{{Cite journal |last1=Tomašević |first1=Aleksandar |last2=Major |first2=Sara |date=2024-08-01 |title=Dynamic exploratory graph analysis of emotions in politics |url=https://advances.in/psychology/10.56296/aip00021/ |journal=Advances.in/Psychology |language=en |volume=2 |pages=e312144 |doi=10.56296/aip00021 |issn=2976-937X}}</ref> Research generally highlights the effectiveness of these technologies, noting that AI can analyze facial expressions (with or without vocal intonations and written language) to infer emotions, although challenges remain in accurately distinguishing between closely related emotions and understanding cultural nuances.<ref>{{Cite journal |last1=Khare |first1=Smith K. |last2=Blanes-Vidal |first2=Victoria |last3=Nadimi |first3=Esmaeil S. |last4=Acharya |first4=U. Rajendra |date=2024-02-01 |title=Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations |url=https://www.sciencedirect.com/science/article/pii/S1566253523003354 |journal=Information Fusion |volume=102 |pages=102019 |doi=10.1016/j.inffus.2023.102019 |issn=1566-2535}}</ref>