Auckland university of Technology
PhD student, computer science
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Hello I am currently a Ph.D. student specializing in computer vision. My research focuses on developing innovative solutions for real-world challenges through advanced visual recognition technologies. I have taken the initiative to independently collect and annotate several datasets across diverse domains to support my work. Golf Swing Defect Detection Dataset: I designed and labeled this dataset to analyze and detect defects in golf swing techniques, aiming to assist athletes and coaches in improving their performance. Healthcare Knee Exercise Dataset: This dataset focuses on tracking and evaluating knee joint exercises to support physical rehabilitation and promote better health outcomes. Facial Expression Dataset for Depression and Suicide Risk Detection: I curated this dataset to explore the potential of emotion recognition in identifying mental health risks, contributing to early detection and intervention strategies. Factory Torque Defect Detection Dataset: This dataset targets the detection of torque tightening defects in industrial environments, addressing quality control challenges in manufacturing processes.
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PhD student, computer science
Master's in Computer Science, computer science
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