Massage chair control device and method based on gesture recognition

Abstract

The invention discloses a massage chair control device and method based on gesture recognition. The massage chair control device comprises a remote control handle, and further comprises a three-axis acceleration sensor for calculating the movement variation of gesture actions, an action recognition processor for recognizing the gesture actions according to the movement variation of the gesture actions and determining massage chair action types corresponding to the gesture actions, and a controller capable of controlling a massage chair to execute corresponding actions according to the determined massage chair action types. The three-axis acceleration sensor and the action recognition processor are arranged on the remote control handle and are in data communication. The action recognition processor is in data communication with the controller. The controller is connected with an electric control executing unit of the massage chair to control the electric control executing unit to execute corresponding actions. The problem of distance limitation of an infrared sensing and recognizing scheme can be solved, and the high cost required by image algorithm recognition can be greatly reduced.

Description

technical field [0001] The invention relates to the massage field, in particular to a massage chair control device and method based on gesture recognition. Background technique [0002] Gesture recognition has always had its place in today's artificial intelligence environment. Controlling the machine through hand movements (such as: waving to the left, waving to the right, or drawing a circle, etc.) has become a good choice to replace the traditional button scheme. At present, the existing gesture recognition on the market can be roughly divided into two categories: 1. Recognition through infrared sensors; 2. Recognition using image algorithms after collecting images through cameras. However, the recognition of the infrared sensor must be recognized within the specified detection distance range, which can easily lead to inability to recognize or misrecognize when the distance is far away; and image algorithm recognition must be equipped with a camera, through which the cam...

AI Technical Summary

Problems solved by technology

However, the recognition of the infrared sensor must be recognized within the specified detection distance range, which can easily lead to inability to recognize or misrecognize when the distance is far away; and image algorithm recognition must be equipped with a camera, through which the camera collects pictures, and then through Image algorithms to analyze photos to identify actions obviously greatly increase the cost and increase the amount of calculation of MUC

Therefore, among these two solutions, the former has a distance limit, while the latter has high cost, complex algorithm and heavy MCU load. Neither of these two solutions is the best solution.

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