{'fraction_non_alphanumeric': 0.016648168701442843, 'fraction_numerical': 0.008879023307436182, 'mean_word_length': 4.745222929936306, '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}}
An algorithm for rapid hand gesture analysis

This paper presents a new algorithm for the analysis of hand gestures. The algorithm takes as input six coordinates. These are the positions of the fingertips and wrist in 3D space. It then constructs a twenty-one point geometric model of the hand. The algorithm presented is related in principle to that developed by Lee and Kunii (1995). It uses a mathematical model of the hand structure and produces a geometric model with reference to the hands' physiological characteristics. The major advantages of this algorithm are: the use of only six characteristic points as opposed to seven and direct model generation without iterative fitting. The six characteristic points are located by using a colour coded glove and two cameras. Results obtained using this algorithm show that very accurate geometric models of the hand can be obtained in 0.07 seconds.