Intelligent interactive walking training system and implementation method thereof

Abstract

The invention discloses an intelligent interactive walking training system. The system comprises a lower limb motion capture sensor combination, a gait processor connected with the lower limb motion capture sensor combination, a feedback controller connected with the gait processor, and a prompt module connected with the feedback controller. The invention further discloses an implementation methodof the intelligent interactive walking training system. The method comprises the following steps: a gait model is established in a gait recognition module, and a training target value is set in a training setting module; and the lower limb motion capture sensor combination acquires magnetic field intensity, angular velocity and acceleration values of a left lower limb and a right lower limb in the motion process in real time. According to the adopted gait recognition method, each step is decomposed into four gaits, the duration time of each gait is very short, and therefore, the abnormal gaitrecognition speed is high; once an abnormal gait is found, a prompt of correction is immediately made when the abnormal gait is repeated next time; the responsiveness is high; and the method is similar to the actual guidance scene of a rehabilitation therapist.

Description

technical field [0001] The invention relates to the field of walking rehabilitation training equipment, in particular to a walking rehabilitation training system capable of intelligently identifying abnormal gait and correcting the abnormal gait in an interactive manner and a method for using the same. Background technique [0002] Walking ability is an important evaluation index of human transfer function. Every walking action of human lower limbs is completed by multiple organs and limb parts, including brain control, nerve conduction, lower limb muscle contraction, lower limb joint flexion and extension, etc. Problems in any one of these links will lead to walking impairment, so a large number of diseases and sequelae may be related to it, including nerve center injury, spinal cord injury, muscle injury, orthopedic disease, long-term immobilization after surgery, etc. Nerve center damage, mainly caused by stroke, accounts for the majority of patients with walking disabili...

AI Technical Summary

Problems solved by technology

An intelligent home interactive walking training system must comprehensively consider the following factors: First, the home environment cannot deploy large body weight support equipment, and cannot implement facility renovation similar to that of the hospital rehabilitation department. For safety reasons, walking Training should be based on active training, mainly for patients with preliminary walking and supporting abilities; second, the home environment is not limited to indoors, but includes homes, communities, parks and other places suitable for walking training, and the target equipment should be portable and environmental adaptability; third, the main external manifestation of the walking process is the periodic flexion and extension changes of the hip joint, knee joint and ankle joint. Effective gait monitoring must not only obtain the real-time angles of these three joints, but also consider these three joints. The linkage relationship of the three joints; Fourth, the interaction of walking training cannot come from vision, because the user must observe the road conditions under the feet during training, not the screen, so the interaction should be based on voice and body surface sensation

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