Supporting data for "Development of Generative Adversarial Tri-model (GAT model) Methods for Multi-modal Sensing"

This dataset contains the data collected during the development of the balance sensor and skin sensor, as well as the corresponding script files to reproduce those results in the thesis. This dataset consists of 5 parts, including "Comprehensive Skin Properties Analysis", "Fisheye Camera Calibration", "GAT Model for Human Balancing Evaluation", "GAT Model for Sensor Calibration", and "Human Motion Recognition with 3D CNN". This dataset should be interpreted with the thesis "Development of Generative Adversarial Tri-model (GAT model) Methods for Multi-modal Sensing".