Game type remote upper limb rehabilitation training system and method based on Kinect

Abstract

The invention discloses a game type remote upper limb rehabilitation training system and method based on Kinect, and belongs to the technical field of medical rehabilitation. The game type remote upper limb rehabilitation training system comprises a mode selection module, a Kinect data acquisition and bone recognition module, a limb operation interaction module, a monitoring feedback end, a remote data transmission module and a training result feedback module. The mode selection module is used for selecting a rehabilitation action range mode; the Kinect data acquisition and bone recognition module is used for analyzing upper limb rehabilitation action; the limb operation interaction module is used for giving a game command when the upper limb rehabilitation action of a user meets a preset action standard corresponding to the mode selection module, and triggering a Russian grid game to conduct corresponding action in response to the game command; the monitoring feedback end is connected with the limb operation interaction module and used for enabling a doctor to view relevant data of the upper limb rehabilitation action and the Russian grid game and input feedback opinion data; the remote data transmission module is used for transmitting the relevant data and the feedback opinion data; the training result feedback module is used for feeding the relevant data and the feedback opinion data back to the user.

Description

technical field [0001] The invention relates to the technical field of medical rehabilitation, in particular to a Kinect-based remote upper limb rehabilitation training system and method. Background technique [0002] Due to accidents, old age and infirmity, or cerebrovascular diseases, which will cause upper limb dysfunction, early rehabilitation training will increase the probability of rehabilitation, so that the upper limbs can achieve normal people's activities in all directions. Traditional medical care uses one-on-one rehabilitation training, and the cost of patient rehabilitation is expensive, and the rehabilitation effect is affected by the level of therapists. Hospitals need to train a large number of therapists and build corresponding auxiliary training facilities. This kind of traditional rehabilitation training is inefficient and boring, which will cause patients to resist and not actively cooperate with the treatment, which will affect the treatment effect. Tr...

AI Technical Summary

Problems solved by technology

However, mechanical arm-assisted therapy is still a passive treatment method. Patients need to wear rehabilitation equipment, and their movements are limited. There are problems such as inconvenient purchase of equipment, large volume and high price.

With the emergence of Kinect, the Kinect-based upper limb rehabilitation system has also become popular, but the training is still boring and repetitive rehabilitation actions, or the use of games does not have a systematic action design and stage training mode, which cannot be given intuitively. data analysis

[0004] The imperfection of the existing rehabilitation training system is mainly manifested in: one-to-one rehabilitation training is expensive, low in efficiency and boring, wearable auxiliary rehabilitation equipment is bulky and expensive, inconvenient to wear, and inflexible in movement

Phased training cannot be carried out, and systematic and intuitive training data feedback cannot be given after the training, which reduces the enthusiasm of patients for rehabilitation

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