Aplikasi Deteksi Ekspresi Wajah Dengan Mesin Learning
Year: 2024
Type: article
Abstract: Often, humans interact using facial expressions that can reveal emotions as evidence of whether someone is telling the truth or not. This research aims to help identify a person's expressions, such as silence, laughter, and smiling. Research using quantitative methods with Android Studio applications and real-time machine learning, displaying accuracy parameters on expressions. The results show the success of the application in detecting facial expressions and displaying accuracy parameters for expressions such as wide-eyed, closed eyes, smile, neutral, and laughter in real-time.
Source: Jurnal Sintaks Logika
Authors: Nur Anjani, Hasnawati Hasnawati, Sudirman Sahidin
Institution: Universitas Muhammadiyah Parepare
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409694479