To learn a set of HMM models to recognize different arm motion gestures using IMU sensor readings from gyroscopes and accelerometers.
To detect and estimate the depth of a red barrel using color segmentation and probabilistic models.
Applied machine learning algorithms include SVM, Decision Tree, Naïve Bayes, KNN, Linear regression, PCA
Exhibited in the Beijing Inertial Technology Exhibition