Feature Extraction Based on Sparse Coding Approach for Hand Grasp Type Classification
Jirayu Samkunta,
Patinya Ketthong,
Nghia Thi Mai
et al.
Abstract:The kinematics of the human hand exhibit complex and diverse characteristics unique to each individual. Various techniques such as vision-based, ultrasonic-based, and data-glove-based approaches have been employed to analyze human hand movements. However, a critical challenge remains in efficiently analyzing and classifying hand grasp types based on time-series kinematic data. In this paper, we propose a novel sparse coding feature extraction technique based on dictionary learning to address this challenge. Ou… Show more
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