Force applying auxiliary device and control method thereof

A force applying auxiliary device comprising:

• a sensor group comprising at least one first sensor and at least one second sensor, wherein the at least one first sensor is disposed on a first side of the force applying auxiliary device, and the at least one second sensor is disposed on a second side of the force applying auxiliary device;
• a processor coupled to the sensor group;
• a database, comprising a plurality of preset motion posture samples;
• and
• motor sets controlled by the processor,
• wherein the processor collects motion posture data of user according to the at least one first sensor and the at least one second sensor, and determines whether a motion of the user is unbalanced according to the motion posture data, and
• when determining that the motion of the user is unbalanced, the processor selects at least one of a plurality of preset abnormal patterns as a specific abnormal pattern according to the motion posture data, and controls the motor sets to provide a force by using the specific abnormal pattern, wherein the force is increased by a corresponding preset value,
• wherein a force difference between a first force applied to a first side foot of the user and a second force applied to a second side foot of the user is adjusted based on a difference between sampling values of the at least one first sensor and the at least one second sensor,
• wherein the processor compares the preset motion posture samples in the database with the motion posture data of the user to determine whether the motion of the user is unbalanced,
• wherein the preset motion posture samples are sensor information of the user in a normal walking mode,
• wherein when determining that the motion of the user is unbalanced, the processor further sorts the collected motion posture data of the user into abnormal posture samples, and stores the abnormal posture samples in the database,
• wherein the processor further compares the abnormal posture samples in the database with the motion posture data of the user to determine whether the motion of the user is unbalanced.