{'fraction_non_alphanumeric': 0.014285714285714285, 'fraction_numerical': 0.0, 'mean_word_length': 5.2835820895522385, '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}}
Automatic Fall Detection Using Mobile Devices

Mobile devices are becoming an integrated part of every person's lives regardless of age. This paper discusses the methodology behind developing an application for mobile devices that can determine if a person has fallen. The results of the experiments demonstrate promising hands-free responses to the smartphone user falling as compared to other systems like Life Alert®.