Explore MATLAB source code curated for "人机交互" with clean implementations, documentation, and examples.
An exploration of Human-Computer Interaction (HCI) concepts and their significance in contemporary technology, including practical implementation considerations through interface design patterns and user-centered development methodologies.
FCM Fuzzy C-Means Clustering Algorithm. Usage Instructions: This interactive FCM algorithm allows users to select a rectangular region using mouse interaction, after which the algorithm automatically applies clustering to the target area. The implementation includes GUI components for region selection and handles coordinate transformation for pixel-to-data mapping. Key functions involve membership matrix initialization, centroid calculation iterations, and distance metric computations.
This design implements HMM-based speech signal recognition using MATLAB, capable of identifying digits 0-9 with a comprehensive GUI. The algorithm workflow includes: displaying original waveform, zoomed end-section waveform, short-term energy analysis, threshold setting, and endpoint detection. The system supports noise addition for accuracy comparison and allows secondary development into keypad-style telephone dial tone recognition.