Abstract: A gait training machine includes a base, a driving module including a driving circuit, a motor and two moving platforms, a sensor module including a left pedal, a right pedal, a plurality of pressure sensors and a position sensor, a controller electrically connected to the driving circuit, each pressure sensor and the position sensor and a signal processing module disposed in the controller and including a gait detecting unit and a gait determining unit with a center-of-gravity calculation logic and a gait determining logic stored therein. Using the above gait training machine to determine whether the bearing weight of the left pedal and the right pedal is correct, and whether the center-of-gravity position is correct, so that the user can know the ankle joint movement and the center-of-gravity during gait training to adjust the health gait posture.

Abstract: A gait training machine includes a base, a driving module including a driving circuit, a motor and two moving platforms, a sensor module including a left pedal, a right pedal, a plurality of pressure sensors and a position sensor, a controller electrically connected to the driving circuit, each pressure sensor and the position sensor and a signal processing module disposed in the controller and including a gait detecting unit and a gait determining unit with a center-of-gravity calculation logic and a gait determining logic stored therein. Using the above gait training machine to determine whether the bearing weight of the left pedal and the right pedal is correct, and whether the center-of-gravity position is correct, so that the user can know the ankle joint movement and the center-of-gravity during gait training to adjust the health gait posture.

Abstract: In an embodiment, a motor module according to the present disclosure includes: a motor having a mover; a motor controller to control the motor; and a storage device in which motor fingerprint information that is unique to the motor and depends on manufacturing variations of the motor is recorded.

Abstract: A method for analyzing abnormal network behaviors and isolating computer virus attacks comprises network equipments controlled by an automatic program so as to have a serious of processes of a packet analyzing, an identity locking and an instant isolating. By using a network monitoring module or/and a network identity module involved in the automatic program to simultaneously deal with the processes of the packet analyzing and the identity locking, and then by using an automatic locking module also involved in the automatic program to execute the process of the instant isolating, the viruses are appropriately isolated and then antivirus softwares scan the infected computer so as to have a problem solving, thereby obtaining a restoring.