{'fraction_non_alphanumeric': 0.020964360587002098, 'fraction_numerical': 0.0, 'mean_word_length': 5.324503311258278, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Development Process for Self-adaptive Applications of the Internet of Health Things based on Movement Patterns

This study proposes a development process for self-adaptive IoHT applications based on movement pattern data for mobile devices. The proposed process adapts the component reuse-oriented development process by adding elements related to the construction of self-adaptive systems. Also, we propose five artifacts to support this process: a taxonomy relating data from sensors and health status to assist; a correlation graph between sensor data, movement features, and health situations, to assist the choice of components and serving as a knowledge base for self-adaptive application; a template for building adaptation rules; a model based on the MAPE-K adaptation cycle; and a framework based on the model, for assisting the implementation phase. The evaluation of the proposed process will be done using proofs of concept and an experiment.