{'fraction_non_alphanumeric': 0.02203856749311295, 'fraction_numerical': 0.005509641873278237, 'mean_word_length': 5.731481481481482, '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}}
Footstep Recognition with Psyco-acoustics Parameter

The characteristics of a footstep are determined by the gait, the footwear and the floor. Accurate footstep analysis would be useful in various applications, home security service, surveillance and understanding of human action since the gait expresses personality, age and gender. The feasibility of personal identification has been confirmed by using the feature parameter of footsteps (Shoji et al., 2004), however, the recognition rate of this method decreases as the number of subjects increases. This paper applies psycho-acoustics parameter to feature extraction. Results show that the parameter proposed herein yields effective and practical personal identification