Method for recognizing gesture based on acceleration sensor

Abstract

The invention discloses a method for recognizing a gesture based on an acceleration sensor. The method for recognizing the gesture based on the acceleration sensor comprises the steps that firstly, signals of the three-axis acceleration sensor is collected, a smooth denoising filter is designed and used for preprocessing the signals, and detection of the boundary of a gesture signal is automatically achieved; with the combination of a non-gesture filtering strategy, non-gesture data are filtered out before template matching; by the adoption of dynamic planning and a DTW algorithm, matching calculation is conducted on gesture data to be recognized and stored template data, and therefore a template gesture which is the most similar to the gesture to be recognized is found; through the strategies such as curve path limitation conducted by a slope, path area limitation and setting of a distorted threshold value, the template matching calculation amount is reduced, and the recognizing cost is reduced; through the template self-adaption strategy, a sample template base is updated automatically, and the gesture recognizing accuracy is improved. According to the method for recognizing the gesture based on the acceleration sensor, on the premise that energy consumption of a terminal is not obviously increased, better user experience is provided through high recognition efficiency and high recognition accuracy, and freer man-machine interaction is facilitated.

Description

technical field [0001] The invention relates to a gesture recognition method based on an acceleration sensor, which belongs to the technical field of human-computer interaction. Background technique [0002] In recent years, with the development of computer technology and communication technology, users have higher and higher requirements for computer convenience and human-computer interaction. Especially in the field of virtual reality and wearable computing, traditional human-computer interaction methods such as mouse and keyboard are increasingly show their limitations. As a natural and intuitive way of communication commonly used in daily life, gestures can express specific meanings in many specific scenarios. Compared with keyboards and mice in traditional human-computer interaction, gestures can interact with machines in a more free and natural form . At present, there are three main research methods of gesture recognition: the method based on vision, the method base...

AI Technical Summary

Problems solved by technology

[0003] The recognition accuracy and recognition efficiency of gesture recognition based on acceleration sensors are constantly improving, but there are still the following deficiencies: 1. Most of the research work is based on dedicated sensor devices. In the application of gesture recognition, users need to carry special equipment , not suitable for large-scale application

2. In the process of gesture recognition, additional operations such as user control buttons are required to indicate the start and end of the gesture, which brings additional operational burden to the user and reduces the user experience

3. One-sided pursuit of precision, excessive overhead, did not take into account that smart terminals are still resource-constrained devices, especially battery life

4. During the processing of gesture data, there is no effective distinction between gesture data and non-gesture data, and non-gesture data is not eliminated before the recognition algorithm, which reduces the efficiency of gesture recognition and is not conducive to the long-term use of smart terminals

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