Sökning: "facial emotion recognition"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden facial emotion recognition.

  1. 1. Analyzing How Blended Emotions are Expressed using Machine Learning Methods

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Disen Ling; [2023]
    Nyckelord :Blended emotion; Supervised learning; Model generalization capability; Ablation study; Blandade känslor; Övervakad inlärning; Modellens generaliseringsförmåga; Ablationsstudie;

    Sammanfattning : Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individual’s emotional experience. LÄS MER

  3. 2. The effectiveness of using light to elicit a response in Amnesia: The Dark Descent

    Kandidat-uppsats, Uppsala universitet/Institutionen för speldesign

    Författare :Ryan Hellgren; Alexander Sokolov; [2023]
    Nyckelord :Light; Attributes; Light mechanics; Response; Fear; Anxiety; Horror;

    Sammanfattning : Player response in the horror video game genre is primary to its success allowing players to experience emotional arousal through elaborate game design. This thesis aims to investigate how, specifically light mechanics, can help elicit responses in Amnesia: The DarkDescent to bring attention to the light techniques that can be used by game designers to elicit such emotional reactions. LÄS MER

  4. 3. Emotion recognition with Deep Learning and its correlation with veracity

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Emma Goodwin; [2022]
    Nyckelord :;

    Sammanfattning : Emotion recognition is an interesting and important field of study in many professional fieldssuch as medicine and law enforcement. This topic of study has many different challenges toexplore and we chose a few of these to expand upon. LÄS MER

  5. 4. Facial Emotion Recognition using Convolutional Neural Network with Multiclass Classification and Bayesian Optimization for Hyper Parameter Tuning.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lokesh Bejjagam; Reshmi Chakradhara; [2022]
    Nyckelord :Computing Methodologies; Machine Learning; Machine Learning Approaches; Convolutional Neural Network; Facial Emotion Recognition.;

    Sammanfattning : The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset. LÄS MER

  7. 5. IN THE PRESENCE OF HUMAN-LIKENESS An Exploratory Study on How Humans Experience Artificial Agents

    Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Anna Johansson; Elin Örnberg; [2021-09-21]
    Nyckelord :Human-likeness; Human-robot-interaction; Uncanny valley; Physical presence; Expectations; Emotional reactions; Furhat;

    Sammanfattning : Interactions with artificial agents are increasing in everyday situations, and social agents might become the next generally adopted interface. However, whether these agents should appear human-like or not is debated as it is still uncertain what effects human-like agents have on humans in an interactive setting. LÄS MER