Sökning: "Facial Action Units"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden Facial Action Units.
1. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. LÄS MER
2. Facial Expression Recognition for Clinical Trial Self-recordings
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Facial expressions have long been linked to human emotions, physiology, and behavior. Novel work suggests that clinical trial subject facial expression relates to self-reported quality of life. LÄS MER
3. Effekt av sederande läkemedel på hästars smärtansikte
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Anatomy, Physiology and BiochemistrySammanfattning : Det är viktigt att kunna smärtbedöma hästar korrekt för att de ska få korrekt vård. Det finns flera beprövade metoder, bland annat genom att mäta fysiologiska parametrar eller genom att använda sig av enkla och sammansatta smärtskalor. LÄS MER
4. Automated Facial Action Unit Recognition in Horses
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, with the development of deep learning and the applications of deep learning models, computer vision tasks such as human facial action unit recognition have made significant progress. Inspired by these works, we have investigated the possibility of training a model to recognize horse facial action units automatically. LÄS MER
5. Klassificering av engagemangsnivå hos en samtalsdeltagare med hjälp av maskininlärning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The work presented in this study is based on the long-term goal of developing a social robot that can be involved in leading a conversation in a language café. In detail, the study has investigated whether it is possible to classify involvement with a conversation participant based on its facial expression and gaze two factors that previous studies have shown to be central to human engagement. LÄS MER