Gesture recognition method based on acceleration sensor

Abstract

The invention discloses a gesture recognition method based on an acceleration sensor. The gesture recognition method based on an acceleration sensor comprises the following steps: automatically collecting gesture acceleration data, preprocessing, calculating the similarity of all gesture sample data so as to obtain a similarity matrix, extracting a gesture template, constructing a gesture dictionary by utilizing the gesture template, and carrying out sparse reconstruction and gesture classification on the gesture sample data to be recognized by adopting an MSAMP (modified sparsity algorithm adaptive matching pursuit) algorithm. According to the invention, the compressed sensing technique and a traditional DTW (dynamic time warping) algorithm are combined, and the adaptability of the gesture recognition to different gesture habits is improved, and by adopting multiple preprocessing methods, the practicability of the gesture recognition method is improved. Additionally, the invention also discloses an automatic collecting algorithm of the gesture acceleration data; the additional operation of traditional gesture collection is eliminated; the user experience is improved; according to the invention, a special sensor is not required, the gesture recognition method based on the acceleration sensor can be used for terminals carried with the acceleration sensor; the hardware adaptability is favorable, and the practicability of the recognition method is enhanced. The coordinate system is uniform, and can be adaptive to different multiple gesture habits.

Description

technical field [0001] The invention relates to a gesture recognition technology based on a motion sensor, more precisely, to a gesture recognition method based on an acceleration sensor, and belongs to the technical field of pattern recognition and human-computer interaction. Background technique [0002] Human-computer interaction is a technology that studies the interaction between human and computer and the interaction between the two, and studies the process of a certain form of information exchange between human and computer through the human-computer interface to complete specific tasks. With the rapid development of computer hardware, the computing power of machines is becoming more and more powerful, and the available resources are becoming more and more abundant. Human body posture and psychological feelings have become important issues that need to be considered in design. Human-computer interaction is gradually getting rid of the computer-centered interaction mod...

AI Technical Summary

Problems solved by technology

[0025] It can be seen from the current status of the above research work that in recent years, the gesture recognition technology based on the acceleration sensor has been continuously improved and developed, but the following deficiencies still exist: 1. Most of the research work is based on specially designed sensor devices. Expensive, single function, not conducive to popularization and promotion

This extra operation degrades the user experience and is not in line with the goal of free and natural human-computer interaction

3. The anti-interference ability is poor. When the upper limit of the sampling amplitude of the acceleration sensor is small, it is easy to cause gesture waveform distortion

4. Poor adaptability to the usage habits of different users, especially when the user does not participate in the training, the gesture recognition efficiency drops significantly

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