{'fraction_non_alphanumeric': 0.019695613249776187, 'fraction_numerical': 0.0035810205908683975, 'mean_word_length': 5.076086956521739, '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}}
The Enhanced Posture Correction Calibration Devices Using Bio-Sensors on WSN

Chronic pains and herniated disks are common diseases that about 80% of adults have experienced. Among the diseases, the rate of traffic accidents and accidental falls comprise only about 10%, whereas the vast number of such diseases are caused by patients habitual wrong posture in their daily lives. In general, people who suffer such back-related diseases often do not recognize that their habitual incorrect posture in their common activities are the main causes of their pains. In this paper, we present a system which collects the data from sensors placed on the user’s body, and suggests a correct posture for the patient after conducting a series of correct position prediction tests. We believe this system could be beneficial to children and chronic patients to correct their postures by repeating their cognitive trainings. In order to prove its effectiveness, we have built a wireless body area network (WBAN) test-bed and conducted a series of tests which considered both patient’s vital signs and situation-aware information.