FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379231153> ?p ?o ?g. }

• W4379231153 endingPage "5304" @default.
• W4379231153 startingPage "5304" @default.
• W4379231153 abstract "With the advancement of computer hardware and communication technologies, deep learning technology has made significant progress, enabling the development of systems that can accurately estimate human emotions. Factors such as facial expressions, gender, age, and the environment influence human emotions, making it crucial to understand and capture these intricate factors. Our system aims to recommend personalized images by accurately estimating human emotions, age, and gender in real time. The primary objective of our system is to enhance user experiences by recommending images that align with their current emotional state and characteristics. To achieve this, our system collects environmental information, including weather conditions and user-specific environment data through APIs and smartphone sensors. Additionally, we employ deep learning algorithms for real-time classification of eight types of facial expressions, age, and gender. By combining this facial information with the environmental data, we categorize the user’s current situation into positive, neutral, and negative stages. Based on this categorization, our system recommends natural landscape images that are colorized using Generative Adversarial Networks (GANs). These recommendations are personalized to match the user’s current emotional state and preferences, providing a more engaging and tailored experience. Through rigorous testing and user evaluations, we assessed the effectiveness and user-friendliness of our system. Users expressed satisfaction with the system’s ability to generate appropriate images based on the surrounding environment, emotional state, and demographic factors such as age and gender. The visual output of our system significantly impacted users’ emotional responses, resulting in a positive mood change for most users. Moreover, the system’s scalability was positively received, with users acknowledging its potential benefits when installed outdoors and expressing a willingness to continue using it. Compared to other recommender systems, our integration of age, gender, and weather information provides personalized recommendations, contextual relevance, increased engagement, and a deeper understanding of user preferences, thereby enhancing the overall user experience. The system’s ability to comprehend and capture intricate factors that influence human emotions holds promise in various domains, including human–computer interaction, psychology, and social sciences." @default.
• W4379231153 created "2023-06-04" @default.
• W4379231153 creator A5000045048 @default.
• W4379231153 creator A5031270663 @default.
• W4379231153 creator A5084897975 @default.
• W4379231153 date "2023-06-02" @default.
• W4379231153 modified "2023-09-27" @default.
• W4379231153 title "Image Recommendation System Based on Environmental and Human Face Information" @default.
• W4379231153 cites W2023425620 @default.
• W4379231153 cites W2978440366 @default.
• W4379231153 cites W3196757325 @default.
• W4379231153 cites W3198137113 @default.
• W4379231153 cites W4243801427 @default.
• W4379231153 cites W4302290918 @default.
• W4379231153 doi "https://doi.org/10.3390/s23115304" @default.
• W4379231153 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37300029" @default.
• W4379231153 hasPublicationYear "2023" @default.
• W4379231153 type Work @default.
• W4379231153 citedByCount "0" @default.
• W4379231153 crossrefType "journal-article" @default.
• W4379231153 hasAuthorship W4379231153A5000045048 @default.
• W4379231153 hasAuthorship W4379231153A5031270663 @default.
• W4379231153 hasAuthorship W4379231153A5084897975 @default.
• W4379231153 hasBestOaLocation W43792311531 @default.
• W4379231153 hasConcept C107457646 @default.
• W4379231153 hasConcept C119857082 @default.
• W4379231153 hasConcept C144024400 @default.
• W4379231153 hasConcept C154945302 @default.
• W4379231153 hasConcept C15744967 @default.
• W4379231153 hasConcept C195704467 @default.
• W4379231153 hasConcept C2779304628 @default.
• W4379231153 hasConcept C2780733359 @default.
• W4379231153 hasConcept C3017893058 @default.
• W4379231153 hasConcept C36289849 @default.
• W4379231153 hasConcept C41008148 @default.
• W4379231153 hasConcept C49774154 @default.
• W4379231153 hasConcept C77805123 @default.
• W4379231153 hasConcept C94124525 @default.
• W4379231153 hasConceptScore W4379231153C107457646 @default.
• W4379231153 hasConceptScore W4379231153C119857082 @default.
• W4379231153 hasConceptScore W4379231153C144024400 @default.
• W4379231153 hasConceptScore W4379231153C154945302 @default.
• W4379231153 hasConceptScore W4379231153C15744967 @default.
• W4379231153 hasConceptScore W4379231153C195704467 @default.
• W4379231153 hasConceptScore W4379231153C2779304628 @default.
• W4379231153 hasConceptScore W4379231153C2780733359 @default.
• W4379231153 hasConceptScore W4379231153C3017893058 @default.
• W4379231153 hasConceptScore W4379231153C36289849 @default.
• W4379231153 hasConceptScore W4379231153C41008148 @default.
• W4379231153 hasConceptScore W4379231153C49774154 @default.
• W4379231153 hasConceptScore W4379231153C77805123 @default.
• W4379231153 hasConceptScore W4379231153C94124525 @default.
• W4379231153 hasIssue "11" @default.
• W4379231153 hasLocation W43792311531 @default.
• W4379231153 hasLocation W43792311532 @default.
• W4379231153 hasOpenAccess W4379231153 @default.
• W4379231153 hasPrimaryLocation W43792311531 @default.
• W4379231153 hasRelatedWork W2007669807 @default.
• W4379231153 hasRelatedWork W2125340073 @default.
• W4379231153 hasRelatedWork W2126394579 @default.
• W4379231153 hasRelatedWork W2365213443 @default.
• W4379231153 hasRelatedWork W2961085424 @default.
• W4379231153 hasRelatedWork W4200112647 @default.
• W4379231153 hasRelatedWork W4311723381 @default.
• W4379231153 hasRelatedWork W4380086463 @default.
• W4379231153 hasRelatedWork W62644768 @default.
• W4379231153 hasRelatedWork W1804171504 @default.
• W4379231153 hasVolume "23" @default.
• W4379231153 isParatext "false" @default.
• W4379231153 isRetracted "false" @default.
• W4379231153 workType "article" @default.