Dance movement teaching auxiliary method and system based on 3D somatosensory camera
A somatosensory camera and motion technology, applied in the field of computer vision and image processing technology and tools, can solve problems such as delaying dance practice and extremely high requirements for dance teachers to observe and judge, and achieve accuracy, improve enthusiasm and effectiveness, and improve performance. efficiency effect
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Embodiment 1
[0033] Such as figure 1 As shown, a dance posture teaching assistant system and method based on a 3D somatosensory camera, the system can be divided into student end or teacher end according to the user, such as figure 2 As shown, in fact, the two system structures can be the same. The student side and the teacher side are common, and both include a 3D motion sensing camera, a skeleton extraction module, a processing module, a communication module, a storage module, and a display module;
[0034] The 3D motion sensing camera is used to obtain the depth map data of the dance process and obtain the dance video data;
[0035] The skeleton extraction module is used to extract the skeleton of the depth map data.
[0036] The processing module on the student side is used to divide the dance action period, that is, the key period of dance action change, and calculate the characteristic rotation of each joint point at each moment in the target action period according to the coordinates of ea...
Embodiment 2
[0063] The technical solution of this embodiment is basically the same as that of embodiment 1, and the difference is that step S4 specifically includes: constructing a joint motion feature rotation matrix, comparing each joint motion feature rotation matrix with its corresponding preset standard matrix, and calculating Similarity, when the similarity of the joint in the target action period is lower than the threshold, the correction prompt information of the joint in the target action period is output; the joint action feature rotation matrix is the feature rotation of a joint at all times in the target action period Collection of matrices
Embodiment 3
[0065] The technical solution of this embodiment is basically the same as that of embodiment 2. The difference is that the target action feature rotation matrix is constructed, the action feature rotation matrix of each period is compared with the corresponding preset standard matrix, and the similarity is calculated. When the similarity of the period action is lower than the threshold, the correction prompt information of the target action period is output; the target action feature rotation matrix is the set of all joint action feature rotation matrices in the target action period.
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