z A Gesture Recognition based on Accelerometer and Hidden Markov Model for Human Computer Communication

With the continuous improvement of information technology, remote controls are widely used in smart living, robot control, Sign language systems, and so on. However, the human-computer communication becomes more diversified in the future. In particular, users may not feel intuitive with a special application or in a remote control environment. This study uses the Nintendo Wii remote as a human-computer interface device to capture motion data by built-in three-axis accelerometer sensor. Hand Gestures are recognized by the Hidden Markov Model. Finally, this study had issued a Gesture Recognition approach for intelligent interactive system design and for future study.