{'fraction_non_alphanumeric': 0.019851116625310174, 'fraction_numerical': 0.0, 'mean_word_length': 5.956896551724138, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Application of Visual Correction on Physical Training

A method is presented for three-dimensional motion posture correction employing Fuzzy kernel estimation and affine transformation. As selecting human moving node by a visual sensor and smoothing single frame image with irregular motion, noise interference is reduced. Based on principles of perspective and affine transformation, adjustment strategy of three-dimensional posture is deduced for irregular single-frame motion picture. In addition to determination of motion picture rotation, accurate correction of irregular single-frame motion picture is proposed. Experimental results show that, under different noise conditions, the algorithm corrects posture of a three-dimensional moving image accurately and presents strong anti-noise performance.